Abstract: A method for processing seismic data. The method may include splitting the seismic data into multiple datasets according to one or more offsets; determining a first shift amount in three or more dimensions of the seismic data between a dataset having a first offset and a dataset having a second offset, determining a second shift amount in the three or more dimensions between the dataset having the second offset and a dataset having a third offset, determining a cumulative shift amount based on a shift of the first shift amount and the second shift amount and determining a corrected dataset based on the dataset having the third offset and the cumulative shift amount.

Abstract: An evaluation circuit for processing digital signals, the evaluation circuit processing an input data word and outputting an output data word, and a method for processing digital signals in an evaluation circuit, and to a sensor assembly.

Abstract: A signal processing method includes inputting a digital signal, providing a plurality of coefficients; and determining an output. The output is approximately equal to an aggregate of a plurality of linear reference components, and each of the linear reference components is approximately equal to an aggregate of a corresponding set of digital signal samples that is scaled by the plurality of coefficients.

Abstract: An approach is provided for adaptive filtering of sensors and sensor data. A sensor manager determines one or more signals associated with one or more sensors. The sensor manager then processes and/or facilitates a processing of the one or more signals for comparison against one or more predetermined signals. The sensor manager determines one or more parameters for one or more filters based, at least in part, on the comparison, wherein the one or more filters operate, at least in part, on the one or more sensors, one or more other signals determined form the one or more sensors, or a combination thereof.

Abstract: One example embodiment includes a testing device. The testing device comprises a signal reception element, an out-of-band detector and testing logic. The signal reception element is configured to receive a physical layer signal from a communication module via a physical link and to produce an incoming double modulated signal, the incoming double modulated signal including a high-speed data signal and an out-of-band data signal. The out-of-band data signal comprises diagnostic data of the communication module. The out-of-band detector is coupled to the signal reception element and is configured to extract the out-of-band data signal from the incoming double modulated signal. The testing logic is coupled to the out-of-band detector and is configured to extract and analyze the diagnostic data from the out-of-band data signal.

Abstract: A calibration system employed for use with a resistance capacitance (RC) filter having resistors and capacitors with parasitic capacitance associated therewith. The calibration system has a digital calibration circuit receiving a time constant signal and generating, based thereon, a control word of N digital bits. The calibration system includes an analog monitor circuit having monitor capacitance assembly having a particular equivalent resistor and capacitor configuration. The analog monitor circuit generates the time constant signal and includes N switches, where each switch is controlled by one of the N bits of the control word, each switch is configured to connect or disconnect one or more capacitors of the monitor capacitor assembly thereby generating a time constant signal that represents the time constant of the RC integrated filter.

Abstract: A system and method for filtering an input signal with at least a first and a second octave portions is presented. A proportional bandwidth filter system includes a bandwidth reducing filter, a down-sampler, and first and second octave filters. The bandwidth reducing filter reduces the bandwidth of the input signal and the down-sampler rolls the second octave portion represented in the reduced bandwidth signal to a top octave portion of a down-sampled signal. The first and second octave filters are comprised of a plurality of proportional bandwidth filters. The first octave filter partitions and converts the first octave portion of the input signal into output signals representing the frequency spectra of the first octave of the input signal. Similarly, the second octave filter generates outputs representing the spectra of the second octave portion of the input signal represented as the top octave portion of a down-sampled signal.

Abstract: Certain example embodiments concern an analysis system for analyzing at least one continuous query for at least one input data stream. The at least one input data stream includes a sequence of events captured by at least one sensor. The debugging system includes an analyzer for executing the at least one continuous query and at least one modified continuous query on the at least one input data stream, for comparing at least one output data stream produced by the at least one continuous query with at least one second output data stream produced by the at least one modified continuous query, and for indicating at least one difference between the at least one output data stream and the at least one second output data stream. The analyzer synchronizes the execution of the at least one continuous query and the at least one modified continuous query.

Abstract: Provided is an apparatus of separating a musical sound source, which may re-construct mixed signals into target sound sources and other sound sources directly using sound source information performed using a predetermined musical instrument when the sound source information is present, thereby more effectively separating sound sources included in the mixed signal. The apparatus may include a Nonnegative Matrix Partial Co-Factorization (NMPCF) analysis unit to perform an NMPCF analysis on a mixed signal and a predetermined sound source signal using a sound source separation model, and to obtain a plurality of entity matrices based on the analysis result, and a target instrument signal separating unit to separate, from the mixed signal, a target instrument signal corresponding to the predetermined sound source signal by calculating an inner product between the plurality of entity matrices.

Abstract: A method is presented for obtaining characteristics of a target physical entity by providing an excitation signal to the target physical entity and simultaneously measuring the response of the target physical entity. Analog signal processing is performed on the measured response to eliminate artifacts arising from a signal path outside the target physical entity and determining the characteristics from the signal processed measured response. The excitation signal and the analog signal processing are selected such that after analog signal processing of the measured signal, the analog measured signal contains artifacts which are localized in time.

Abstract: A digital down-conversion acquisition function, includes a key spectral analysis function, in time-interleaved acquisition systems to enable acquisitions at very high sample rates and bandwidths. Digital down-conversion allows data compression into acquisition memory for down-converted complex baseband I/Q data within a given frequency range of interest. With a fixed-size acquisition memory, this enables acquisitions over a longer time span, thus enabling a lower spectral resolution bandwidth. These approaches allow down-converted complex baseband I/Q data from a narrow frequency band of interest to be acquired efficiently. Reconstruction of the acquired down-converted waveform from the time-interleaved components stored in each acquisition memory of each distributed acquisition components to result in a coherent waveform is also disclosed.

Abstract: An acoustic sensor acquires acoustic data corresponding to a rotating component of a machine during operation of the machine. The acoustic sensor can be configured to enhance acoustic signals in a range of frequencies corresponding to at least one evaluated condition of the rotating component and/or enhance the acoustic signals received from a directional area narrowly focused on the rotating component. The rotating component is evaluated using the acoustic data acquired by the acoustic sensor. In an embodiment, the machine can be a vehicle traveling past a parabolic microphone. In a more specific embodiment, the vehicle is a rail vehicle and the rotating component is a railroad wheel bearing.

Abstract: Waveforms are digitally sampled and compressed for storage in memory. The compression of the data includes generating a truncated entropy encoding map and using the values within the map to obtain good compression. An encoder further sub-selects values to be encoded and values to remain unencoded to provide an overall compression of the data.

Abstract: A method for automated detection of ingestion of at least one foreign body by a gas turbine engine, according to which: instantaneous speed of the rotor is measured; a speed signal of the rotor is filtered to separate a static component from a dynamic component thereof; the filtered dynamic component is compared to a standard resonance wave of the rotor to obtain an ingestion indicator, the standard resonance wave corresponding to the vibrational impulse response of a rotor; the obtained ingestion indicator is compared with a detection threshold; and a foreign body ingestion detection signal is emitted when the ingestion indicator is higher than the detection threshold.

Abstract: A sampling rate converting apparatus that performs sampling frequency conversion includes: a sampling-phase detecting unit configured to calculate a sampling phase based on sampling timing after the sampling frequency conversion for each operation reference clock, based on a ratio of a frequency of an operation reference clock and a sampling frequency after the sampling frequency conversion; a sampling-clock detecting unit configured to detect a sampling period based on the sampling phase; a poliphase filter configured to apply filtering to an input signal and generate a signal after the sampling frequency conversion, based on the sampling period; and a filter-coefficient control unit configured to set a filter coefficient in the poliphase filter, based on the sampling phase.

Abstract: An embodiment of the invention provides a method for classifying a received signal. The method includes determining a covariance matrix of signal values of the received signal, and determining an eigenvalue matrix of the covariance matrix. The eigenvalue matrix includes the eigenvalues of the covariance matrix. A first function is determined from at least one eigenvalue of the eigenvalues of the covariance matrix. A second function is determined from at least one eigenvalue of the eigenvalues of the covariance matrix, wherein the second function is different from the first function. Dependent from a comparison between a value of the first function and a value of the second function, the received signal is classified into a signal comprising data or into a noise signal.

Abstract: A method includes retrieving at least one first measurement associated with material in a tank from a memory at a level gauge. The method also includes comparing the at least one first measurement to at least one second measurement associated with the material in the tank. The method further includes determining whether a difference between the at least one first measurement and the at least one second measurement exceeds a threshold. In addition, the method includes identifying a current level of the material in the tank in a first manner if the difference does not exceed the threshold or a second manner if the difference does exceed the threshold. The first manner could include correcting a level measurement using the difference between the at least one first measurement and the at least one second measurement. The second manner could include identifying an offset value based on differences between pairs of level measurements.

Abstract: Apparatus, systems, and methods may operate to acquire an original data set comprising a series of data points having an independent portion and a dependent portion, the dependent portion representing a measure of device performance that depends on at least one device characteristic represented by the independent portion. Additional activity may include identifying outlier data points in the series by determining, in comparison with all other members of the series, whether the outlier data points conform to a known trend of the series; transforming the original data set into a transformed data set by removing the outlier data points from the series; and publishing the transformed data set. Other apparatus, systems, and methods are disclosed.

Abstract: Methods and systems for producing data describing states of a plurality of targets (105A, 105B) using a processor (102) in a system (100) having at least one onboard sensor (106). The method includes obtaining (404) data from at least one onboard sensor (106A, 106B) and performing a first data fusion process (412) on the obtained onboard sensor data to produce onboard sensor fused data. Data is also obtained (422) from at least one off-board sensor (108A, 108B), and a second, different data fusion process (430) is performed on the obtained off-board sensor data and the onboard sensor fused data to produce target state data.

Abstract: A method is for calculating an optical noise index of a signal light extraction apparatus that extracts signal light in a polarization plane by inputting signal light and a sampling pulse, different from the signal light in polarization plane by a given angle, to a nonlinear optical medium, and by passing light output from the nonlinear optical medium through an orthogonal polarizer having a polarization plane orthogonal to that of the signal light. The method includes calculating an output optical noise of the signal light extraction apparatus using a parametric gain of the nonlinear optical medium, a power of a quantum noise of the light having passed through the orthogonal polarizer, and a ratio of a power of the signal light and a power of the signal light sampled by the sampling pulse; and calculating an optical noise index using the output optical noise.

Abstract: A signal processing apparatus subjects an audio signal to musical pitch analysis using different analysis techniques for the higher and lower frequencies. When an audio signal is input, a first extractor extracts a high-frequency signal, and a second extractor extracts a low-frequency signal from the audio signal. A high-frequency processor extracts pitch components from the high-frequency signal by applying the short-time Fourier transform. A low-frequency processor extracts pitch components from the low-frequency signal by dividing the low-frequency signal into a plurality of octave components. A synthesizing unit then combines the pitch components thus extracted from the high-frequency signal and the low-frequency signal and outputs the analysis result.

Abstract: A signal analyzing system is provided. The signal analyzing system includes a band pass filter (BPF), a sampling unit and a continuous shifted transform (CST) unit. The BPF filters an input signal to obtain a filtered signal. The sampling unit samples the filtered signal to obtain a discrete signal according to a sampling frequency. The CST unit obtains a first frequency spectrum according to the N discrete signals that are sampled continuously, and obtains a second frequency spectrum according to a (N+1)th discrete signal and the first frequency spectrum. Each of the first and second spectra includes N Fourier transform operation results.

Abstract: A flow meter for measuring flow of a process fluid includes a sensor configured to provide a sensor output signal. The sensor output signal is related to flow of the process fluid. Circuitry in the flow meter is configured to determine a statistical parameter related to sensor output signal. Diagnostic circuitry provides a diagnostic output based upon the determined statistical parameter and the sensor output signal.

Abstract: A method is present for processing a signal. A response signal is received from a structure. The response signal is decomposed into a plurality of signals based on a number of characteristics. A mode in the plurality of signals is identified based on a number of known characteristics for the mode, wherein the mode has a velocity.

Abstract: Systems and methods are provided for analyzing data to determine properties of a PCR process or other process exhibiting amplification or growth. Data representing an amplification can be distinguished from data representing a jump or other error. A modified sigmoid function containing a drift term may be used in determining the properties. A multi-stage functional fit of the amplification data can provide increased accuracy and consistency of one or more of the properties. A baseline of the amplification data can be determined by analyzing an integrated area of a first derivative function of the data. A reference quantitation value can also be determined from locations of maxima of different derivative functions of the amplification data, e.g., a weighted average of the maxima locations for the second and third derivatives may be used.

Abstract: Data collector and analyzer hand held device capable of collecting and analyzing AC analog signals obtained by both converting pressure waves in the ultrasonic or in the vibration bandwidths into such signals comprising a conditioning circuit comprising a transducer identification circuit arranged for downloading a characteristic of an external transducer and at least a first amplifier, arranged for conditioning an AC analog signal at a desired amplitude, a first analog to digital converter, a digital signal processing unit, a central processing unit and a user interface.

Abstract: The invention disclosed includes a method for determining the magnitude and phase calibration of dynamic motion sensors (SUTs), such as accelerometers, velocimeters, and dynamically responding displacement transducers at low vibration frequencies, using an optical encoder as the reference. To calibrate the sensitivity, the dynamic motion sensor is mounted to a shaker mechanism which imparts harmonic linear motion in the axis of the sensitivity of the sensor. In the case of an accelerometer, the mechanism commonly includes another accelerometer as a reference sensor. However, the output of conventional reference accelerometers becomes inadequate at low frequencies. The subject of this patent is an optical encoder to measure the displacement, at frequencies at which the optical measurement is more accurate than that of an accelerometer or other dynamic motion sensor.

Abstract: A signal acquisition system has a signal acquisition probe having probe tip circuitry coupled to a resistive center conductor signal cable. The resistive center conductor signal cable is coupled to a compensation system in a signal processing instrument via an input node and input circuitry in the signal processing instrument. The signal acquisition probe and the signal processing instrument have mismatched time constants at the input node with the compensation system having an input amplifier with feedback loop circuitry and a compensation digital filter providing pole-zero pairs for maintaining flatness over the signal acquisition system frequency bandwidth.

Abstract: An analysis system for determining an analyte of a body fluid comprises a test element and an analysis instrument having a measurement and evaluation unit. The test element has a sample application zone and two analysis zones and a reagent system, whose reaction with the analyte results in a detectable change characteristic for the desired analytical result. The measurement and evaluation unit comprises two analog measuring units, in each of which an analog measurement signal corresponding to one of the analysis zones is generated, two analog-digital converters for digitizing the analog measurement signal, a comparator unit for comparing control data values based on the digitized measurement signals, and a final processing unit, in which, if the determined deviation between the control data values of the digitized measurement signals is less than a predefined value, at least one of the control data values is allowed to pass for further processing into the desired analytical result.

Abstract: An apparatus comprises a sensor and a circuit. The sensor is capable of generating a signal in response to detecting a stimulus. The circuit is capable of powering the sensor and providing multiple other capabilities including signal conditioning, non-signal related noise cancellation, and signal transmission using a constant current source power input from a cable and sending the signal over the cable.

Abstract: An apparatus, method, and system for measuring the magnetic field produced by phase conductors in multi-phase power lines. The magnetic field measurements are used to determine the current load on the conductors. The magnetic fields are sensed by coils placed sufficiently proximate the lines to measure the voltage induced in the coils by the field without touching the lines. The x and y components of the magnetic fields are used to calculate the conductor sag, and then the sag data, along with the field strength data, can be used to calculate the current load on the line and the phase of the current. The sag calculations of this invention are independent of line voltage and line current measurements. The system applies a computerized fitter routine to measured and sampled voltages on the coils to accurately determine the values of parameters associated with the overhead phase conductors.

Abstract: Embodiments of the invention relate to systems and methods for securing data transmission in networks. Embodiments of the invention further relate to encryption methods that dynamically adjust during the course of data transmission. Further, the encryption methods can adapt dynamically without user intervention. In one embodiment, an encryption scheme can be established, controlled, and monitored via out-of-band communication between transceiver modules.

Abstract: One embodiment of the present invention relates to a magnetic sensor circuit having a magnetic field sensor device configured to generate a digital signal proportional to an applied magnetic field. An analog-to-digital converter converts the analog signal to a digital signal that is provided to a digital signal processing unit, which is configured to digitally track the analog output signal. The digital tracking unit comprises a delay removal circuitry configured to generate a plurality of digital signal component corresponding to a chopping phase. A non-delayed offset compensated digital output signal may be generated within the chopping phase by mathematically operating upon (e.g., adding or subtracting) the plurality of digital signal components, generated by the delay removal circuitry.

Abstract: The present invention discloses an apparatus and a method for diagnosing abnormal conditions, that quantitatively considers acquisition difficulties between abnormal symptoms provided on a computer screen and quantifies acquisition difficulties of the abnormal symptoms through distinctiveness of measuring devices to exactly diagnose the abnormal conditions even under an improved control environment, making it possible for a user to rapidly and easily diagnose the abnormal conditions that may be generated from a complicated device. With the present invention, the abnormal conditions are diagnosed using the sequential diagnosis technique and the Boolean logic between the abnormal symptoms, making it possible to effectively diagnose the abnormal conditions even under masking effects that may be generated between the abnormal symptoms.

Abstract: An apparatus and method for efficient and concurrent sampling of a sensor signal to create multiple output signals each at different sampling rates is provided. The apparatus and method determine an aperiodic sampling rate or sampling schedule such that only samples representing samples at the different sampling rates are taken. The aperiodic samples are taken then de-interleaved to filter wanted samples for a particular application or user. As a result, the aperiodic samples is just a combination of all of the subsets to each application. Such aperiodic sampling reduces a total number of samples taken and, as a direct result, reduces the number of samples needing to be processed and stored and also reduced the power otherwise consumed to sample, process and store unused samples.

Abstract: A variable indication estimator which determines an output value representative of a set of input data. For example, the estimator can reduce input data to estimates of a desired signal, select a time, and determine an output value from the estimates and the time. In one embodiment, the time is selected using one or more adjustable signal confidence parameters determine where along the estimates the output value will be computed. By varying the parameters, the characteristics of the output value are variable. For example, when input signal confidence is low, the parameters are adjusted so that the output value is a smoothed representation of the input signal. When input signal confidence is high, the parameters are adjusted so that the output value has a faster and more accurate response to the input signal.

Abstract: A method for signal decomposition, Separation-Estimation (SE) method, is introduced. The SE method has a broad scope: it applies to signals of arbitrary form (scalar, vector, tensor, real, complex, etc.) of arbitrary composition of arbitrary components. Through a novel iterative process, the SE systematically and reliably completes all four tasks of signal decomposition. The SE method can handle signals with strong component interactions. It is flexible, efficient, robust, and has strong noise resistance. The SE method overcomes most of the limitations of the existing signal decomposition methods.

Abstract: A method of absorption spectroscopy including obtaining absorption data at multiple wavelengths along more than one line-of-sight path through a quantity of gas of interest. The method further includes identifying more than one temperature and gas species concentration bin along the multiple line-of-sight paths and creating a map of temperature and gas species concentration. The map thus created will have at least two-dimensional information derived from select temperature and gas species concentration bins identified along more than one line-of-sight path. Apparatus for implementing the above method is also disclosed.

Abstract: A method for determining a distance between a first piece and a second piece includes measuring, at the first or second piece, a first signal at a first frequency, and measuring, at the first or second piece, a second signal at a second frequency. The second frequency is different from the first frequency. The distance is determined based on the measured first and second signals.

Abstract: A method to achieve an accurate, extremely low power state classification implementation is disclosed. Embodiments include a sequence that matches the data flow from the sensor transducer, through analog filtering, to digital sampling, feature computation, and classification.

Abstract: The invention provides a system and a method of eliminating interference for impurities measurement in noble gases based on emission spectroscopy which provide very stable, sensitive and interference free results. The method mainly relies on the use of a combination of particularly designed means serially connected for cancelling interferences and proper means for correcting linearity issues. The proposed method is particularly advantageous since it offers long-term stability while providing very accurate and reliable results, even at sub-ppb and up to 10,000 ppm levels, whatever the surrounding conditions and the additional impurities that could be present in the gas under analysis.

Abstract: A characteristic thumbprint is extracted from a data signal, the thumbprint based on statistics relating to the data signal. The data signal can be compared indirectly by matching this thumbprint against one or more reference thumbprints. The data signal may be any type of signal, including streaming digitized audio or obtained from static files. A database may contain a number of these characteristic thumbprints, and the database can be searched for a particular thumbprint.

Abstract: A method of reproducing an original analog signal modified by a distortion and sampled. The distortion may be linear or nonlinear, and the samples may be either ideal or non-ideal. The method determines a stationary point of a cost function based on an error vector. The method iteratively computes approximated analog signals until the approximated analog signals converge to the original analog signal. The method may utilize Fr?chet derivatives and Moore-Penrose pseudo inverse transformations in order to iteratively compute the original analog signal. An apparatus performing said method is also disclosed.

Abstract: Provided is a sampling apparatus that samples a signal under measurement, including a clock control section that generates a plurality of sampling clocks at a plurality of sampling phases at determined non-uniform intervals, so as to cancel out replicas in a sampling band that are not observation targets, from among the replicas of the signal under measurement and the replicas of the negative frequency component of the signal under measurement, in each sampling repetition cycle; and a sampling section that samples the signal under measurement with each of the plurality of sampling clocks.

Abstract: The present invention relates to vibration analysis and in particular, but not limited to, the derivation of multiple types of vibration signals from one vibration signal for vibration analysis. In the preferred method of the invention the vibrations of an object are measured using at least one vibration sensor, wherein the vibration sensor converts vibrations into an electrical vibration signal. The electrical vibration signal is digitized based on a first frequency, wherein the first frequency is selected from a plurality of possible frequency values. A first type of vibration signal is derived from the digitized vibration signal. A second type of vibration signal is then derived from the digitized vibration signal based on a second frequency. The second frequency is rationally determined from, and lower than, the value selected for the first frequency. The invention also provides apparatus for deriving multiple types of vibration signals from one measured vibration signal for vibration analysis.

Abstract: An occupant detection system with noise reduction, a controller having noise reduction for an occupant detection system and a method for reducing noise in an occupant detection system. A high order digital filter is used to filter harmonics of a noise signal from an electrode signal used to determine an occupant presence or absence of the occupant. A way of sampling the electrode signal and the implementation of the high order digital filter cooperate such that the signal processing can be performed by a lower cost general purpose microprocessor as opposed to using a higher cost digital signal processor.

Abstract: The disclosure provides a method, system and internal combustion engine system in which a closed-loop system having a controllable variable is monitored to detect the off-nominal behavior of the closed-loop system and raise an alarm or other alerting mechanism when fault is detected. The faults in a closed-loop system show up in such a way that the tracking error signal is impacted and this impact manifests itself as a change in the frequency components. A filter is used to isolate a band of frequency components of the tracking error signal that are more impacted than other by deviation caused by a fault to be detected. The filter can be designed to effectively amplify the section of the error tracking signal that contains the frequency components that have the major impact. In addition, the filter will also have the characteristics to attenuate the impact of other frequency components.

Abstract: A method of measuring Raman signals comprises: an analyte placing step of placing an analyte on a detection surface of a microstructure plate which generates an enhanced electric field when irradiated with excitation light; an irradiating step of irradiating the detection surface with the excitation light so that the enhanced electric field is generated around the detection surface and light is emitted from the analyte and the detection surface to be enhanced by the generated enhanced electric field; a Raman signal obtaining step of detecting the enhanced light to obtain a Raman signal emitted from the analyte and a background signal for use as a reference, the Raman signal and the background signal having respective intensities; and a normalizing step of normalizing the Raman signal from the analyte by dividing the intensity of the Raman signal from the analyte by the intensity of the background signal obtained as the reference.

Abstract: A time differential is estimated between a plurality of signals by determining a filter response of a first electrical signal with a first filter array, determining a filter response of a second electrical signal with a second filter array, and determining, based at least on the filter response of the first electrical signal and the filter response of the second electrical signal, a time differential between the first electrical signal and the second electrical signal. A first optical signal is converted into the first electrical signal and a second optical signal is converted into the second electrical signal. The filter response of the first electrical signal and the filter response of the second electrical signal are sampled and the time differential between the first electrical signal and the second electrical signal is determined based at least on the sampled filter response of the first electrical signal and the sampled filter response of the second electrical signal.

Abstract: Systems and methods are disclosed for analyzing building sensor information and decomposing the information therein to a more manageable and more useful form. Certain embodiments integrate energy-based and spectral-based analysis methods with parameter sampling and uncertainty/sensitivity analysis to achieve a more comprehensive perspective of building behavior. The results of this analysis may be presented to a user via a plurality of visualizations and/or used to automatically adjust certain building operations. In certain embodiments, advanced spectral techniques, including Koopman-based operations, are employed to discern features from the collected building sensor data.