Abstract: The present invention provides a system and method for representing quasi-periodic (“qp”) waveforms comprising, representing a plurality of limited decompositions of the qp waveform, wherein each decomposition includes a first and second amplitude value and at least one time value. In some embodiments, each of the decompositions is phase adjusted such that the arithmetic sum of the plurality of limited decompositions reconstructs the qp waveform. These decompositions are stored into a data structure having a plurality of attributes. Optionally, these attributes are used to reconstruct the qp waveform, or patterns or features of the qp wave can be determined by using various pattern-recognition techniques. Some embodiments provide a system that uses software, embedded hardware or firmware to carry out the above-described method. Some embodiments use a computer-readable medium to store the data structure and/or instructions to execute the method.

Abstract: A method and apparatus for separating and extracting main sound sources from a mixed musical sound signal are provided. A musical sound source separation apparatus may include an prior information signal compressor to compress an prior information signal including a characteristic of a predetermined sound source, a mixed signal divider to divide a mixed signal including a plurality of sound sources into a plurality of segments, a Nonnegative Matrix Partial Co-Factorization (NMPCF) analyzer to acquire common information shared by the plurality of segments, by applying an NMPCF algorithm to the prior information signal, and a target musical instrument signal separator to separate a target musical instrument signal corresponding to the predetermined sound source from the mixed signal, based on the common information.

Abstract: A method, and corresponding device, for processing a pressure signal from a pressure sensor mounted in a combustion chamber to detect a combustion in an internal combustion engine. The method provides a pressure signal; filters the pressure signal with a filtration mechanism having a variable gain; generates an output signal representative of the filtered pressure signal; generates a signal representative of the error between the pressure signal and the output signal; and determines if the combustion has occurred during an expansion phase of the thermodynamic cycle.

Abstract: An automation system and a method for controlling a process and for monitoring the condition of process equipment. The method comprises the steps of measuring process signals indicating the condition of the process by means of a first sensor; measuring condition monitoring signals indicating the condition of process components by means of a second sensor; processing the process signals by means of a first I/O module; processing the condition monitoring signals by means of a second I/O module; transmitting the processed process signals obtained from the first I/O module to a process station. The method also comprises the steps of transferring the processed condition monitoring signals obtained from the second I/O module to the same process station; and processing both the said processed process signals and the said processed condition monitoring signals by process station software in the said process station.

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: Physiological signal quality classification methods and systems for ambulatory monitoring. Physiological signals are classified as good, noisy or weak based on signal properties. Once classified, signals are processed differently depending on their classification For example, for a good signal, physiological data may be extracted from the signal and displayed to a person being monitored. For a noisy signal, a noisy signal notification may be displayed to the person in lieu of extracted physiological data. For a weak signal, a weak signal notification may be displayed to the person in lieu of extracted physiological data. Moreover, a noisy or weak signal notification displayed to a person being monitored may be accompanied by a corrective action recommendation, such as “move to quieter environment” for a noisy signal or “check body placement of sensor” for a weak signal.

Abstract: A sensor power management arrangement includes a signal processing circuit configured to receive signal from a sensor, to test the signal against at least one criterion, and to pass the signal for further processing in response to the signal passing the at least one criterion. In this way, only signals that are of a sufficient importance or significance will consume the maximum amount of processing energy and through processing by later processes or circuitry. Should a signal from a sensor not be strong enough or meet other criteria, power will not be wasted in preparing that signal for provision to the microcontroller or microprocessor. Additional flexibility in the sensor power management can be realized by adjusting the criteria against which the sensor signal is compared based on a status of the sensor apparatus.

Abstract: The invention relates to a measuring device having at least one first assembly and at least one second assembly. The first assembly and the second assembly each comprise an intermediate frequency interface or a complex baseband interface. The intermediate frequency interfaces or baseband interfaces are designed as serial digital interfaces.

Abstract: A system for measuring a shape, includes an external storage unit storing tolerances of first and second shape factors defining a design shape of a measuring object; a first measuring tool measuring the first shape factor of the measuring object to obtain measurement data; and a measurement processing unit determining a shape of the measuring object. The measurement processing unit includes; a comparison module comparing the measurement data of the first shape factor with the tolerance of the first shape factor; a verification module composing a predicted shape using the measurement data and verifying whether the predicted shape is formed as a figure; a calculation module calculating predicted data of the second shape factor from the predicted shape; and a determination module determining a measurement shape by comparing the predicted data with the tolerance of the second shape factor.

Abstract: In accordance with an embodiment, a signal processing method includes scanning a pattern on a substrate with a charged particle beam, detecting secondary charged particles emitted from the substrate by using a detector, outputting a signal, and filtering the signal. The detector is separated or divided into a plurality of regions, and the secondary charged particles are detected separately in each region of the detector. Intensity of the filtering is defined in dependence on a function f(?) of an angle ? between a reference axis and a direction along which the secondary charged particles enter a detector plane. The reference axis is an arbitrary direction in a plane parallel to a surface of the substrate.

Abstract: The method for Kalman filter state estimation in bilinear systems provides for state estimation in dynamic systems, and is a bilinear extension of the Kalman filter and the Kalman smoother. The method for Kalman filter state estimation in bilinear systems introduces a nonlinear state equation coupled with a linear measurements equation. The specific nonlinearity is of the bilinear form, depending upon the system dynamics.

Abstract: A robot includes: an arm driven by a motor; an angle sensor that detects a pivoting angle of the motor; an inertia sensor that detects an inertial force acting on the arm; a noise detecting unit that detects a noise frequency of the inertia sensor from both an output of the angle sensor and an output of the inertia sensor; a filter-constant determining unit that determines a characteristic of a filter from information of the noise detecting unit; and the filter that removes noise of the inertia sensor on the basis of the filter-constant determining unit.

Abstract: A method of forming a compact model for an electrical device includes obtaining shape information for the device and obtaining nominal information for the device. The method also includes merging the shape information and the nominal information to form composite data, and fitting the compact model to the composite data.

Abstract: A power-supply noise measuring circuit includes a voltage fluctuation detecting circuit, a unit time generating circuit, a current measuring circuit, and a sampling circuit. The voltage fluctuation detecting circuit generates a detection current in accordance with a voltage fluctuation of a power supply. The unit time generating circuit generates a unit time in accordance with a clock signal. The current measuring circuit treasures an amount of the detection current per unit time. The sampling circuit samples the amount of the detection current measured by the current measuring circuit, every unit time. The present invention provides the power-supply noise measuring circuit that has a small circuit area and enough accuracy.

Abstract: A plurality of scans of a sample are performed, producing a plurality of mass spectra. Neighboring mass spectra of the plurality of mass spectra are combined into a collection of mass spectra based on sample location, time, or mass. A background noise estimate is calculated for the collection of mass spectra. The collection of mass spectra is filtered using the background noise estimate, producing a filtered collection of one or more mass spectra. Quantitative or qualitative analysis is performed using the filtered collection of one or more mass spectra. The background noise estimate is calculated by dividing the collection of mass spectra into two or more windows, for example. For each window of the two or more windows, all spectra within each window are combined, producing a combined spectrum for each of the two or more windows. For each combined spectrum, a background noise is estimated.

Abstract: A waveform acquiring unit acquires a time waveform of an electromagnetic wave. The time waveform is decomposed into wavelet expansion coefficients by wavelet transform. Influence levels of the respective wavelet expansion coefficients to a spectrum are calculated. The wavelet expansion coefficients are weighted based on at least the influence levels of the wavelet expansion coefficients to the spectrum. The weighted wavelet expansion coefficients are converted into time waveforms by inverse wavelet transform. Thus, the time waveforms that holds spectrum information needed for spectroscopic analysis and has a reduced noise is provided.

Abstract: An aircraft component assembly has an aircraft component for an aircraft. A sensor is configured to monitor the aircraft component. A local wireless transmitter is provided for communication with a remote receiver. In addition, a local wireless receiver is provided for communication with the remote transmitter. A processor is in communication with the sensor. The processor is configured to control the sensor, the local wireless transmitter and the local wireless receiver. A power source is configured to generate energy proximate the installed aircraft component.

Abstract: A system and method for determining physiological parameters based on electrical impedance measurements is provided. One method includes obtaining electrical measurement signals acquired from a plurality of transducers coupled to a surface of an object and spatially pre-conditioning the obtained electrical measurement signals. The method also includes performing multiple-input-multiple-output (MIMO) analog to information conversion (AIC) of the spatially pre-conditioned electrical measurement signals to correlate the spatially pre-conditioned electrical measurement signals to separate the electrical measurement signals.

Abstract: An input signal is converted to a feature-space representation. The feature-space representation is projected onto a discriminant subspace using a linear discriminant analysis transform to enhance the separation of feature clusters. Dynamic programming is used to find global changes to derive optimal cluster boundaries. The cluster boundaries are used to identify the segments of the audio signal.

Abstract: Information filters provide state estimation of a system when measurements provided by sensors are incomplete in that the states of the system are unobservable until a large number of measurements are collected. An example is the operation of multiple, asynchronous, one- or two-dimensional sensors to track an object in three-dimensional space. The disclosure describes an information filter that minimizes mean square estimation errors and provides accurate covariances for systems driven by unknown arbitrary time-varying inputs with unspecified dynamics but known bounds.

Abstract: A transform for determining a physiological measurement is disclosed. The transform determines a basis function index from a physiological signal obtained through a physiological sensor. A basis function waveform is generated based on basis function index. The basis function waveform is then used to determine an optimized basis function waveform. The optimized basis function waveform is used to calculate a physiological measurement.

Abstract: A control system includes a speed determination module and a profile estimation module. The speed determination module determines previous engine speeds based on a predetermined profile of a crankshaft position sensor and previous pulse times corresponding to teeth on the crankshaft position sensor. The profile estimation module performs data fitting to determine an estimated profile of the crankshaft position sensor based on the previous pulse times and the previous engine speeds. The speed determination module determines present engine speeds based on the estimated profile and present pulse times corresponding to the teeth on the crankshaft position sensor.

Abstract: A method for controlling combustion in a direct injection internal combustion engine operable in a lean combustion mode includes monitoring in-cylinder pressure, utilizing a time-based filter to calculate an actual combustion noise based upon the monitored in-cylinder pressure, monitoring combustion control parameters utilized by the engine, determining an expected combustion noise based upon the monitored combustion control parameters, comparing the actual combustion noise to the expected combustion noise, and adjusting the combustion control parameters based upon the comparing.

Abstract: The invention is a detection system that provides for background removal from a field of view (FOV) of spectra. A panoramic field of regard may be partitioned into a large number of FOV's. An FOV may include spectra including that of a target substance. Such detection may require removing the spectra other than that of the target. This may amount to removal of the background with an estimated background developed from spectra of one or more FOV's which may be similar to the background of the FOV with the target. An estimation of the background may be a sum of a number of FOV spectra where each spectrum is assigned a weight, the total amount of the weights being one.

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: Some embodiments can concern an apparatus configured to detect an electrical state of one or more electrical devices. The one or more electrical devices are coupled to an electrical power infrastructure and generate one or more high-frequency electrical signals on the electrical power infrastructure. The apparatus can include: (a) a processing module configured to run on a processor of a computational unit; and (b) a sensing device configured to be coupled to an electrical outlet. The sensing device can have: (a) a data acquisition receiver configured to receive the one or more high-frequency electrical signals via the electrical outlet and convert the one or more high-frequency electrical signals into one or more first data signals when the sensing device is coupled to the electrical outlet. The electrical outlet can be electrically coupled to the electrical power infrastructure. The sensing device is in communication with the computational unit.

Abstract: A radiation detector system includes a photosensor configured to detect a radiation level, a processor configured to process the radiation level, and a wireless interface configured to transmit the processed radiation level to a network. A method of determining a radiation value using the radiation detector includes receiving a new radiation event data, maintaining a record of the new radiation event data among a record of previously received radiation events data, calculating a user-configured average value radiation level based on the record of the radiation events data, calculating a radiation level on the basis of the record of the received new radiation event data and the record of previously received radiation events data, and outputting the radiation value and the user-configured average value radiation level.

Abstract: The present specification describes techniques and apparatus for reducing eye monitor data samplers in a receiver. A single eye monitor data sampler is used for multiple normal data samplers in a receiver.

Abstract: Determining optical visibility in an environment that may contain airborne dust particles is described. In one aspect, a method determines an ambient relative humidity in the environment. A near infrared wave is transmitted through a portion of the environment. An optical visibility in the environment is calculated based on the ambient relative humidity and attenuation of the near infrared wave during transmission through the environment. Various contrast thresholds are employed in the determination of optical visibility in the environment.

Abstract: A sensor event assessor is disclosed. In one embodiment, an event detection receiver receives an electronic signal related to an event detected by at least two sensors. A filter module compares the electronic signal with a predetermined event detection threshold. An electronic signal assessor receives the electronic signal from the filter module if the electronic signal is greater than or equal to the predetermined event detection threshold, the electronic signal assessor provides assessment information about the event. A user recognizable output generator is utilized to provide the assessment information about the event in a user recognizable format.

Abstract: A system and method is provided for predicting a physical quality such as temperature, the measurement of which tends to be hindered by a time-related impediment. A single sensor is configured to detect, in real time, the physical quality Qdetect, and one or more infinite impulse response filters are configured with time constants correlated to the time-related impediment. The infinite impulse filter(a) are configured to filter Qdetect to output a filtered quality measurement (Qfiltered). A processor is configured to calculate, in real time, the estimated or predicted quality Qestimate using Qdetect and Q filtered.

Abstract: A radiation sensor (10) comprises plural radiation sensing elements (1) arranged along an arrangement line, a lens having an optical axis focusing radiation towards the sensing elements, and circuitry (2) receiving the electric signal of the sensing elements and providing an output signal. The midpoint of the arrangement line may be offset against the optical axis of the converging section (5). At least some of the sensing elements may have different sizes. At least some of the sensing elements may have different relative sensitivity compared to each other. Two or more pairs of adjacent sensing elements may have a different pitch.

Abstract: A method for analysing blade displacements detected by circumferentially-spaced stationary timing probes associated with a rotating blade assembly, the displacements corresponding to times at which the blades pass the probes.

Abstract: The present invention is relative to a method for analyzing an signal (SI), representative of a wave that propagates in a physical medium, providing characteristic parameters of said signal, said method being implemented on a computing platform (PC), requiring only fixed point computations, and with a reduced number of multiplications. Parameters that are provided can be one or several of the following: instantaneous phase (PI), instantaneous amplitude (AI), instantaneous frequency (FI), Sliding Fourier Transform (TFG).

Abstract: A real-time trigger figure-of-merit indicator for test and measurement instruments provides an indication of how close a signal-under-test is to satisfying a relevant trigger condition. The indicator includes a first marker that indicates a real-time trigger figure-of-merit that is calculated based on digital samples that represent the signal-under-test, and a second marker that indicates a level that the figure-of-merit must exceed in order for a trigger event detector to detect a trigger event and generate a trigger signal. Thus, by observing the indicator, a user may easily ascertain how close a signal-under-test is to satisfying the relevant trigger condition without requiring the instrument to actually trigger.

Abstract: The disclosure includes pulse oximetry systems and methods for determining point-by-point saturation values by encoding photoplethysmographs in the complex domain and processing the complex signals. The systems filter motion artifacts and other noise using a variety of techniques, including statistical analysis such as correlation, or phase filtering.

Abstract: Implementations for estimating a resource usage of data-filtering program and dynamically installing the filtering programs in a sensor-based data filtering systems are generally disclosed.

Abstract: Aspects of the disclosure relate to computing technologies. In particular, aspects of the disclosure relate to mobile computing device technologies, such as systems, methods, apparatuses, and computer-readable media for improving orientation data. In one embodiment, techniques are described for filtering data associated with a first sensor coupled to a computing device, by receiving a signal from the first sensor, detecting a change in a variability of a first signal parameter from a plurality of signal parameters from the signal, and adjusting, based at least in part on the detected change in the variability of the first signal parameter, at least one filter parameter of a filter used to filter a second signal parameter from the signal.

Abstract: The present invention provides a digital oscilloscope with glitch detection, including a synchronous random access memory (RAM), a digital signal processing unit, coupled to the synchronous RAM, and a master control unit coupled to the digital signal processing unit. The digital signal processing unit includes an analog-to-digital (A/D) converter to digitize an analog signal and a digital signal processor. The digital signal processor includes a dual-port RAM, a plurality of processing blocks to process the digitized analog signal data, detect glitches in the digitized analog signal data, store the processed signal data in the synchronous RAM, create display data from the stored signal data, and store the display data in the dual-port RAM, and a communications interface to transmit the stored display data.

Abstract: An extended Kalman filter (EKF) is combined with a fixed epoch smoother (FES) to produce a new variable lag smoother (VLS). The fixed epoch lags EKF measurement time-tags with variable time lag. The combination of EKF and FES is referred to herein as a variable lag smoother (VLS).

Abstract: Plasma equipments are provided. The plasma equipment comprises a chamber in which a plasma reaction occurs, a detector outputting a spectrum signal in response to light generated from the plasma reaction, and a plasma monitoring module determining whether the spectrum signal includes an arcing signal or a hunting signal. Related methods are also provided.

Abstract: This invention teaches further improvements in methods for forewarning of critical events via phase-space dissimilarity analysis of data from biomedical equipment, mechanical devices, and other physical processes. One improvement involves objective determination of a forewarning threshold (UFW), together with a failure-onset threshold (UFAIL) corresponding to a normalized value of a composite measure (C) of dissimilarity; and providing a visual or audible indication to a human observer of failure forewarning and/or failure onset. Another improvement relates to symbolization of the data according the binary numbers representing the slope between adjacent data points. Another improvement relates to adding measures of dissimilarity based on state-to-state dynamical changes of the system. And still another improvement relates to using a Shannon entropy as the measure of condition change in lieu of a connected or unconnected phase space.

Abstract: Device for determining an error induced by a high-pass filter in a signal, including a unit (3) for calculating the error according to the formula: E(t)=Ve(t)?Vs(t)=2·?·Fc·??=t0t(Vs(?)? Vs(?))·d?+E(t0) with: E(t) the value of the error induced by the high-pass filter, as a function of the time variable t, ?the trigonometric constant, Fc the cutoff frequency of the high-pass filter, t0 the initial instant, ?integration variable, Ve the signal input to the high-pass filter, Vs the signal output by the high-pass filter, Vs the mean value of the signal Vs. A method of correcting the error induced is also presented and applicable to the error correction of a piezoelectric pressure sensor.

Abstract: In particular embodiments, a method includes accessing a first binary decision diagram (BDD) representing data streams from sensors, selecting portions from the first BDD based on ease-of-analysis, and constructing a plurality of sub-BDDs by partitioning the first BDD, wherein the sub-BDDs comprises a first sub-BDD representing the selected portions, and second sub-BDDs representing the non-selected portions.

Abstract: A system and method whereby acoustic signals can be classified and identified as to nature and location of the original signal. The system and method determine from an arbitrary set of signals a signature or other characterizing feature and distinguish signals associated with a plurality of conditions by means of dictionaries comprising atoms of signals.

Abstract: A method (400) of processing signal outputs of a plurality of topologically distinct sensors in response to stimuli is described. The method comprises obtaining (402) a plurality of temporal sensor outputs in parallel. Thereafter, features are extracted (406), the features having dynamic behavior pattern. The extraction is performed in a topology consistent way by arithmetic processing in parallel of neighboring temporal sensor outputs. Furthermore, a quality of the extracted features is being determined.

Abstract: An approach is provided for adaptive display and 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: 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: Embodiments of the present invention are directed to various enhanced discrete-universal denoisers that have been developed to denoise images and other one-dimensional, two-dimensional or higher-dimensional data sets in which the frequency of occurrence of individual contexts may be too low to gather efficient statistical data or context-based symbol prediction. In these denoisers, image quality, signal-to-noise ratios, or other measures of the effectiveness of denoising that would be expected to increase monotonically over a series of iterations may decrease, due to assumptions underlying the discrete-universal-denoising method losing validity. Embodiments of the present invention apply context-class-based statistics and statistical analysis to determine, on a per-context-class basis, when to at least temporarily terminate denoising iterations on each conditioning class.

Abstract: Estimates of spectral magnitude and phase are obtained by an estimation process using spectral information from analysis filter banks such as the Modified Discrete Cosine Transform. The estimation process may be implemented by convolution-like operations with impulse responses. Portions of the impulse responses may be selected for use in the convolution-like operations to trade off between computational complexity and estimation accuracy. Mathematical derivations of analytical expressions for filter structures and impulse responses are disclosed.