Abstract: Methods and systems for generating, storing, and modifying data for feature engineering purposes. In particular, methods and systems for automatically generating feature engineering pipelines by chaining multiple transformers (models and/or function trained to transform data in specific ways) and estimators (e.g., algorithms trained with input data to generate transformers) in a sequential order based on feature attributes. To determine the specific transformers and estimators, the system may access a shared knowledge database, graph engine, and pipeline engine.

Abstract: The present disclosure describes systems and methods for time-of-arrival (TOA) estimation techniques. Some embodiments of the disclosure provide for estimating radio propagation path parameters based on a training signal received over a set of active frequencies. The radio propagation path parameters (e.g., fading coefficients for each path) are used to reconstruct a channel frequency response on null frequencies (e.g., frequencies that did not include or carry the received training signal). A time-of-arrival parameter can then be estimated based on the estimated channel frequency response and the reconstructed channel frequency response (e.g., the channel frequency response estimated using both active frequencies and null frequencies).

Abstract: One or more aspects of the techniques and models described herein provide for bidirectional recurrent neural network (BiRNN)-based digital pre-distortion techniques for radio frequency (RF) power amplifiers (PAs). As an example, a digital pre-distorter (DPD) system may implement residual learning and long short-term memory (LSTM) projection layer features to reduce computational complexity and memory requirements. Implementing the described unconventional techniques of applying residual learning in RNN (e.g., in BiLSTM), using LSTM projection to develop a DPD structure, or both, may provide several advantages over preexisting techniques. For instance, the complexity in training and pre-distortion may be reduced and significantly less memory may be required to store the DPD neural network coefficients (e.g., while achieving similar or better linearization performance compared to other LSTM models). Further, faster training convergence speed may be achieved (e.g., compared to other LSTM models).

Abstract: A measurement method performed at a receiving device involves sequentially receiving RF signals, each comprising a different set of at least first and second tones at differing frequencies. Complex gain responses (CGRs) for each of the first and second tones of each of the RF signals are measured. A phase offset is determined between: i) a phase of the CGR of the second tone of a first RF signal, and ii) a phase of the CGR of the first tone of a second RF signal. A coherent channel frequency (CCF) response of the second tone of the second RF signal is computed by adjusting a phase of the CGR of the second tone of the first RF signal by the phase offset. A processor executes a signal paths calculation algorithm using the CCF response of the second tone of the second RF signal to determine an angle or time of arrival of the first RF signal.

Abstract: An electronic device may include conductive structures with a light-reflecting coating. The coating may have a two or four-layer thin-film interference filter. The two-layer filter may have a CrN layer and an SiCrN layer. The four-layer filter may have two CrN layers and two SiCrN layers. The two-layer filter may be used to coat relatively small conductive components. The four-layer filter may be used to coat a conductive housing sidewall. Both types of interference filter may produce a relatively uniform light blue color despite variations in coating thickness produced on account of the geometry of the underlying conductive structure.

Abstract: The present disclosure describes systems and methods for time-of-arrival (TOA) estimation techniques. Some embodiments of the disclosure provide for estimating radio propagation path parameters based on a training signal received over a set of active frequencies. The radio propagation path parameters (e.g., fading coefficients for each path) are used to reconstruct a channel frequency response on null frequencies (e.g., frequencies that did not include or carry the received training signal). A time-of-arrival parameter can then be estimated based on the estimated channel frequency response and the reconstructed channel frequency response (e.g., the channel frequency response estimated using both active frequencies and null frequencies).

Abstract: A method for detecting a modification, due to an interferer, of a wireless channel between a transmitting device and a receiving device. First and second samples of channel frequency response (CFR) of the wireless channel are measured within a time interval less than or equal to a pre-established static time interval throughout which the wireless channel is expected to exhibit a static characteristic in an environment without any interferer. An interferer is detected to have modified the wireless channel when a similarity condition reflecting a degree of similarity between the first and second CFR samples is not satisfied.

Abstract: A buckle type roller conveying slideway comprises a base, two ends and two side covers, the two ends are arranged at the front end and the rear end of the base respectively, and at least one end is assembled together with the end part of the base through a buckle connecting structure. During assembly, the ends and the base are firmly assembled and fixed together through the buckle connecting structures between the ends and the base, the whole assembling process is simple, easy and fast, and fasteners such as screws do not need to be additionally used or stamping and other procedures do not need to be additionally added for fixing, so that the assembling efficiency is improved, and the assembling labor intensity is also reduced.

Abstract: Disclosed embodiments provide systems, methods, and techniques for lineage detection of calculations (e.g., processes, metrics, important data elements, data elements, or the like). According to disclosed embodiments, a lineage detector acquires one or more parameters, which at least include a first parameter indicative of source code and a second parameter indicative of a calculation. The lineage detector also parses the source code. After parsing the source code, the lineage detector determines the data lineage of the calculation based on the parsed source code. In some embodiments, the lineage detector generates and displays output of the data lineage.

Abstract: An apparatus and method are provided for Doppler estimation of a signal received over a time-varying transmission medium, the method including receiving the signal over a channel of the time-varying transmission medium; sampling a magnitude of the received signal repeatedly over time; identifying unidirectional threshold crossings of the sampled magnitude about a threshold magnitude relative to a mean magnitude; measuring differences between the sampled magnitude and the threshold magnitude for the identified crossings; analyzing the measured differences over time; estimating the time-varying nature of the channel based on the analyzed differences; and transmitting a signal indicative of the estimated time-varying nature.

Abstract: A measurement method performed at a receiving device involves sequentially receiving RF signals, each comprising a different set of at least first and second tones at differing frequencies. Complex gain responses (CGRs) for each of the first and second tones of each of the RF signals are measured. A phase offset is determined between: i) a phase of the CGR of the second tone of a first RF signal, and ii) a phase of the CGR of the first tone of a second RF signal. A coherent channel frequency (CCF) response of the second tone of the second RF signal is computed by adjusting a phase of the CGR of the second tone of the first RF signal by the phase offset. A processor executes a signal paths calculation algorithm using the CCF response of the second tone of the second RF signal to determine an angle or time of arrival of the first RF signal.

Abstract: A page scanning device configured to generate a sequence mask for an expected frequency hopping sequence, select a first tone among a plurality of detected tones, first determine whether the first tone is included within an expected hop sequence, generate a first tone template in response to determining that the first tone is included within the expected hop sequence, align the first tone template with the plurality of detected tones based on the first tone, second determine whether the first tone template matches the plurality of detected tones, and detect a valid frequency hopping sequence in response to determining that the first tone template matches the plurality of detected tones.

Abstract: A wireless communication device configured to select a spatial stream among a plurality of spatial streams, the plurality of spatial streams being included in a received signal vector, the received signal vector being associated with a symbol constellation, calculate a plurality of distance values, each distance value representing a distance between the selected spatial stream and a different hypothesis symbol among a plurality of hypothesis symbols, the plurality of hypothesis symbols corresponding to the symbol constellation, repeat the selection and the calculation for all spatial streams among the plurality of spatial streams not previously selected, and determine a detected symbol of each spatial stream among the plurality of spatial streams based on the plurality of distance values calculated for the plurality of spatial streams.

Abstract: A wireless communication device configured to select a spatial stream among a plurality of spatial streams, the plurality of spatial streams being included in a received signal vector, the received signal vector being associated with a symbol constellation, calculate a plurality of distance values, each distance value representing a distance between the selected spatial stream and a different hypothesis symbol among a plurality of hypothesis symbols, the plurality of hypothesis symbols corresponding to the symbol constellation, repeat the selection and the calculation for all spatial streams among the plurality of spatial streams not previously selected, and determine a detected symbol of each spatial stream among the plurality of spatial streams based on the plurality of distance values calculated for the plurality of spatial streams.

Abstract: Method and apparatus are disclosed for malware detection. According to an embodiment, a hybrid method for malware detection comprises: obtaining calling maps of a malware set and a normal application set, wherein a calling map comprises information about system call sequences with different calling depth greater than or equal to one; generating a malware pattern set and a normal pattern set, based on comparison between frequencies of the calling maps of the malware set and the normal application set; acquiring a calling map of an unknown application; and determining a malware detection result for the unknown application, based on comparison between the unknown application's calling map with the malware pattern set and the normal pattern set. The malware pattern set and/or the normal pattern set may be updated according to the malware detection result.

Abstract: A receiver configured to receive a frequency-modulated transmission having a preamble and a corresponding method are provided, the receiver having a buffer coupled to an input terminal for receiving the transmission, a time-to-frequency transformer coupled to the buffer, an energy aggregator coupled to the transformer, a preamble detector coupled to the aggregator, and a symbol synchronizer coupled to the detector; the method including receiving a sequence of time-domain frequency-modulated samples, transforming the sequence of time-domain samples into a spectrum of frequency-domain data, and matching an actual energy distribution over a plurality of discrete frequencies in the frequency-domain data with an expected energy distribution of the preamble to determine frequency error.

Abstract: Disclosed embodiments provide systems, methods, and techniques for lineage detection of calculations (e.g., processes, metrics, important data elements, data elements, or the like). According to disclosed embodiments, a lineage detector acquires one or more parameters, which at least include a first parameter indicative of source code and a second parameter indicative of a calculation. The lineage detector also parses the source code. After parsing the source code, the lineage detector determines the data lineage of the calculation based on the parsed source code. In some embodiments, the lineage detector generates and displays output of the data lineage.

Abstract: Disclosed embodiments provide systems, methods, and techniques for code parsing and lineage detection. According to disclosed embodiments, a code parser acquires one or more parameters, which at least include a first parameter that identifies source code. The code parser also acquires the source code from the first parameter. After acquiring the source code, the code parser parses the source code and generates an output of the parsed source code. The code parser may then generate and display an output of the parsed source code.

Abstract: Disclosed embodiments provide systems, methods, and techniques for lineage detection of calculations (e.g., processes, metrics, important data elements, data elements, or the like). According to disclosed embodiments, a lineage detector acquires one or more parameters, which at least include a first parameter indicative of source code and a second parameter indicative of a calculation. The lineage detector also parses the source code. After parsing the source code, the lineage detector determines the data lineage of the calculation based on the parsed source code. In some embodiments, the lineage detector generates and displays output of the data lineage.