282 results about "Oversampling" patented technology

An electronic interface device is configured for use with associated optics for employing coded light for illuminating a liquid, gaseous, or other analyte or target, such as for measuring or determining a composition or other property of the analyte or target. The arrangement can help enable a far higher level of performance, such as for spectral analysis, imaging, or both. A shared common clock on both the illumination and receive sides of the system can be included, such as together with one or more of reference detection, per-channel wavelength-dependent modulation, multiple concurrent feedback loops at different levels, orthogonal and circulant codes, phase-scrambling to better utilize ADC dynamic range, oversampling, and other signal processing can be provided.

Disclosed in the present invention are an improved oversampling-based power transmission line fault classification system and method. The method of the present invention comprises: first, by using historical fault information of State Grid as a database, obtaining a plurality of sub-datasets by means of division based on fault types, each sub-dataset consisting of transient current traveling waves at power transmission line fault moments; then, using a K-means method to perform clustering operation on minority classes of a fault dataset, and using BSMOTE to perform oversampling, so as to achieve balancing of various classes, thus forming a balanced dataset; then, calculating time domain and frequency domain features of transient current traveling waves in the balanced dataset, so as to form a feature dataset; finally, on the basis of CNN and SVM deep learning algorithms, establishing a classification model and training same by using the feature dataset, so as to obtain a trained fault classification model; and using the trained fault classification model to classify and identify faults. The method is highly accurate and effective, and can effectively extract fault feature quantities and quickly and accurately classify faults.

The invention provides a VCO digital circuit control method and system with temperature compensation, and relates to the technical field of circuit control, and the method comprises the steps: obtaining VCO output frequency and real-time temperature, and calculating an initial frequency deviation; correcting the frequency deviation based on the temperature compensation coefficient, and generating a temperature-frequency deviation characteristic curve; an optimal compensation factor is determined through Monte Carlo sampling; calculating a compensation parameter adaptive weight by using Bayesian iteration, and dynamically adjusting a compensation factor; and a control signal is generated through the digital integrator to realize frequency calibration. According to the invention, the high-precision frequency stability of the VCO under the temperature change condition is realized, and the circuit reliability is improved.

The invention relates to the technical field of digital playing equipment, and provides a lossless control method for the volume of a digital player and the digital player. The method comprises the following steps of: after receiving a target volume parameter, executing dynamic multiplying power oversampling and high-order noise shaping on an input digital audio signal, and injecting preset jitter to suppress in-band quantization distortion so as to generate an optimized digital audio stream; meanwhile, a high-resolution digital reference current control instruction corresponding to the target volume is independently generated, output of a reference current source is adjusted according to the high-resolution digital reference current control instruction, and a high-precision differential current signal is obtained by combining nonlinearity, temperature excursion and quantization errors of a closed-loop feedback compensation device through a multi-bit current segmentation network; performing bias stabilization processing on the signal, and converting the signal into a differential voltage signal for suppressing common-mode noise through a precision differential resistance network; and finally, low-distortion differential analog audio signals capable of directly driving a load are output through low-distortion gain, impedance conversion and power driving, so that low-distortion, high-signal-to-noise-ratio and wide-dynamic-range output in a full-volume range is realized.

The invention relates to the technical field of pulse acquisition, in particular to a high-speed ADC (Analog to Digital Converter) and FPGA (Field Programmable Gate Array) coordinated extremely-narrow pulse signal acquisition system, which comprises a phase identification monitoring module, a phase lock reference updating module, a sampling permission control module, a prohibition feedback identification module and a synchronous trigger adjustment module. According to the method, a beat tolerance judgment mechanism is introduced, hyper-bound phase deviation trend statistics and frequency vector extraction are combined, beat correction is carried out by utilizing a directional hopping cumulant and a period adjustment amount, a sampling permission judgment and keeping window alignment mechanism is introduced in a multi-frame period, and a two-way judgment means of a sampling starting trigger value is adopted, so that the beat tolerance of the multi-frame period is judged. And meanwhile, centralized extraction and frequency directivity statistics are carried out on the hopping direction in the sampling prohibition time sequence, the synchronous mismatch trend is distinguished, and the initial beat position is adjusted, so that the time domain characteristics of the narrow pulse waveform are kept continuous, the edge response is prevented from deviation, the trigger structure is stable and reliable, and the overall sampling judgment is more accurate and efficient.

The invention relates to the technical field of flow metering, in particular to an anti-flow-fluctuation metering method of a multichannel ultrasonic flowmeter. The method comprises the following steps: dividing the measurement of each sound channel into a plurality of measurement periods, calculating the weight proportion of each sound channel in the overall measurement based on a multi-factor weighting model, and introducing a real-time compensation mechanism of a fluid dynamic working condition to correct the weight proportion; when the fluid passes through the measuring pipe section, sound wave transmitting and receiving signals are sampled, the transmission time of sound waves in the fluid is calculated through sampled data, and the effective transmission time of each sound channel is recorded; and judging the effectiveness of sound channel sampling based on the sampled data and the effective transmission time of the sound channel, and establishing a multi-sound channel weighted average flow rate model. According to the invention, by introducing a multi-factor weighting model and a fluid dynamic working condition real-time compensation mechanism, the weight in the whole measurement can be dynamically adjusted according to the signal quality of each sound channel.

The invention discloses a power quality composite disturbance detection classification and time positioning method based on MS-TCN + +. According to the method, composite disturbance category codes are designed for sampling points, an electric energy quality identification model comprising a prediction generation stage and a plurality of refining stages is constructed on the basis of MS-TCN + +, and multi-time-scale disturbance signal features are extracted by using double expansion layers in the prediction generation stage. And smooth loss is added in model training to avoid sudden change of categories of sampling points in a time sequence, and finally category identification and time positioning of disturbance signals are completed through a classification result of the sampling points, so that powerful support is provided for treatment of power quality disturbance.

A method for motor voltage reconstruction by Analog to Digital Converter (ADC) oversampling and averaging includes measuring a first phase voltage with an ADC, the first phase voltage proportional to a first duty cycle of a first Pulse Width Modulation (PWM) signal. A second phase voltage is measured with the ADC, the second phase voltage proportional to a second duty cycle of a second PWM signal, wherein the first PWM signal and the second PWM signal control consecutive phases of a three-phase motor. A third duty cycle of a third PWM signal of the three-phase motor is reconstructing from the first phase voltage and the second phase voltage.

The invention provides a communication radiation source individual identification method based on time domain and time sequence coding constellation diagram feature fusion. The method is used for realizing stable identification of different transmitters under non-ideal conditions of carrier frequency offset, noise interference and the like. The method comprises the following steps: firstly, carrying out normalization and fixed-length interception on a received I / Q signal, and calculating an oversampling multiple according to a symbol rate and a time resolution; then, a time domain and time sequence coding constellation diagram double-branch feature extraction network is constructed, a time domain structure feature is extracted from a time domain branch by adopting a one-dimensional modified ResNet18, and a constellation diagram with time information is generated from a time sequence coding constellation diagram branch through a time sequence coding constellation module and the feature that the phase changes along with time is extracted; and carrying out joint modeling on the two types of features through a trainable weighted fusion mechanism. In the training stage, the performance of the model is improved by adopting cross entropy loss, an Adam optimizer, learning rate scheduling and an early stop strategy. In the reasoning process, input signals are classified by using the model weight with the highest verification accuracy, and a communication radiation source individual identification result is output. Experimental results show that the method can effectively enhance the frequency offset robustness and generalization ability of the model, realizes high-precision identification of the individual communication radiation source, and is suitable for the fields of security access of the Internet of Things, spectrum monitoring, electronic countermeasures and the like.

The invention relates to the technical field of broadband signal synthesis and high-speed digital-to-analog conversion, in particular to an oversampling-based real-time frequency interleaving digital-to-analog conversion system aliasing suppression method and system, and aims to solve the problem of spectrum aliasing caused by non-ideal characteristics of a digital sub-band decomposition filter and an analog filter under a real-time architecture of the system. In the invention, the sub-band decomposition is completed by adopting the linear phase complementary filter bank, so that distortion introduced by a transition band of a digital filter is avoided; by restraining system parameters such as passband and stopband frequencies and local oscillation frequency of a sub-band decomposition filter, a protection band is set by an oversampling mechanism, a frequency margin is reserved for a transition band of the filter, and aliasing components are suppressed. According to the method, extraction aliasing of a digital domain and mirror image aliasing of an analog domain are avoided at the same time from the system architecture, the frequency spectrum purity of output signals is improved, the method is suitable for a real-time system for processing continuous data streams, and technical support is provided for achieving a high-performance broadband signal source.

An electronic interface device is configured for use with associated optics for employing coded light for illuminating a liquid, gaseous, or other analyte or target, such as for measuring or determining a composition or other property of the analyte or target. The arrangement can help enable a far higher level of performance, such as for spectral analysis, imaging, or both. A shared common clock on both the illumination and receive sides of the system can be included, such as together with one or more of reference detection, per-channel wavelength-dependent modulation, multiple concurrent feedback loops at different levels, orthogonal and circulant codes, phase-scrambling to better utilize ADC dynamic range, oversampling, and other signal processing can be provided. Modulation codes can optionally employ a clock divider, such as which can be configured to satisfy one or more specified constraints.

The invention discloses an OFDM (Orthogonal Frequency Division Multiplexing) signal time-frequency collaborative equalization distortion suppression method, and belongs to the field of wireless communication. According to the invention, the problems of high complexity and poor transmission reliability of the existing short cyclic prefix method are solved. According to the invention, an OFDM system based on time domain oversampling and frequency domain interpolation equalization is adopted at a receiving end, and the oversampling algorithm can enhance the power of useful signals by properly broadening an equalization frequency band, so that the equalization effect is enhanced; according to the frequency domain interpolation equalization algorithm, weighted interpolation processing is carried out on frequency domain receiving signals, so that spectrum details can be better captured, and compensation and correction of an energy migration phenomenon generated by spectral lines in a frequency band due to a channel effect are realized. Through time-frequency cooperative processing at a receiving end, interference can be efficiently suppressed, stable and reliable demodulation precision and communication quality can be ensured, frequency spectrum resource loss caused by additional extension of a cyclic prefix can be avoided, and the frequency spectrum utilization efficiency of the system is further remarkably improved. The method can be applied to the field of wireless communication.

The invention discloses a loudspeaker detection system in a high-reliability demand environment, and relates to the technical field of loudspeaker detection, and the loudspeaker detection system is used for generating and outputting a preset level signal, and supporting the switching of a single-path manual detection mode, a multi-path manual detection mode, an automatic multi-path detection mode and an aging detection mode; output signals are collected in real time through a current sampling resistor connected to the output end of the loudspeaker in series, sound frequency and intensity parameters of the output signals are analyzed, and whether the loudspeaker function is normal or not is judged; wherein the frequency parameter is consistent with the output signal frequency of the driving board, and the intensity parameter is positively correlated with the output signal current; sampling results of multi-channel manual detection are received, cross interference data of multi-channel test units are collected at the same time through a sampling resistor, and a compatibility rating result is generated; and receiving data of automatic multi-path detection as a health index calculation benchmark, and evaluating a performance attenuation trend and residual life.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may transmit uplink signaling via a cyclic prefix orthogonal frequency division multiplexing (CP-OFDM) waveform or a discrete Fourier transform (DFT) spread OFDM (DFT-s-OFDM) waveform. A configured resource muting pattern may be based on or may reuse a phase tracking reference signal (PTRS) frequency pattern. The resource muting pattern may mute every other resource element (RE) of an uplink symbol or uplink subband of subband full duplex (SBFD) symbols, and the transmitting UE may perform uplink rate matching (e.g., applying a zero power PTRS pattern and inserting the zero power REs after a DFT spread operation, oversampling after a DFT-s-OFDM procedure and doubling a size of an IFFT, or repeating an input sequence to a DFT and doubling a size of the IFFT, power boosting, updating a power control calculation, etc.).

The invention relates to the technical field of radars, in particular to a weather radar distance resolution calibration method and system. The method comprises the following steps: collecting oversampling original baseband I / Q data of a point target in a plurality of continuous pulse periods; determining a pulse signal-to-noise ratio, and screening out effective pulses according to a threshold value; carrying out sub-sampling stage time alignment on the effective pulses based on cross-correlation analysis, and carrying out incoherent averaging on power module values of all the aligned pulses to generate an average pulse power envelope; converting the average pulse power envelope to a logarithm domain, and selecting discrete data points in a main lobe region; according to the discrete data points, a nonlinear least square method is adopted to carry out iterative fitting on the generalized Gaussian mathematical model, and a continuous analytic function describing the pulse envelope is obtained; according to the continuous analytic function, determining a pulse time width when the power is reduced to a peak value of-6dB; and determining the real distance resolution according to the pulse time width. The measurement robustness is improved, and sub-meter calibration precision is achieved.

The invention discloses an aliasing suppression strategy based on oversampling filtering. The aliasing suppression strategy comprises a mixed time frequency analysis module, an oversampling processing module, a delta-sigma modulator module, an RC filter module and a Sinc filter module. Wherein the mixed time-frequency analysis is used for performing frequency band analysis on a signal and judging whether an aliasing phenomenon exists or not according to a result; the oversampling processing is used for carrying out high-resolution digital sampling on the signal so as to fully capture the periodic change of the signal; the delta-sigma modulator is used for converting the oversampled signal into a high-speed and low-resolution sequence; the RC filter is used for converting a high-speed 1-bit sequence into a signal in an analog form, removing high-frequency noise and smoothing the signal; the Sinc filter further improves the frequency characteristic of the signal and inhibits residual high-frequency noise, a cleaner and smoother analog signal is obtained, and the analog signal is more suitable for subsequent signal processing and analysis. The method has higher signal reconstruction precision, stronger anti-aliasing and anti-noise capabilities, and greater flexibility and adjustability, and is suitable for various application scenes.

The invention discloses a fault detection method for a flexible DC power transmission system and a related device, and the method employs a voltage gradient algorithm to detect whether the flexible DC power transmission system breaks down, and carries out the fault type discrimination based on the ground model voltage polarity through a sampled voltage signal when the system breaks down. And determining a high-frequency impedance difference value ratio of a rectification side and an inversion side in the flexible DC power transmission system based on the voltage signal and the sampled current signal, carrying out fault direction discrimination based on the high-frequency impedance difference value ratio, and finally determining a fault detection result according to a fault type and a fault direction. Therefore, the fault pole selection is realized based on the ground model voltage polarity, and the internal and external faults are accurately distinguished through the high-frequency impedance difference ratio, so that the reliability of fault detection of the flexible direct-current power transmission system is improved.

Using “in-situ on-die time-domain reflectometry (TDR)” with data signal paths of integrated circuits, printed circuit boards, and data processing equipment and systems allows testing, verification and troubleshooting of data channel signal path impedance variations including the package, escape routing, socket, board, and cable / connectors provides fast characterization thereof. Operation of “in-situ on-die TDR” uses existing analog-to-digital converter (ADC) and data transmitter (TX) drivers of an integrated circuit to act as a TDR sampling head by performing a user interface-based TDR sampling with a step-waveform generated by an integrated circuit TX driver. Then sampling the step-waveform with the ADC of the integrated circuit using spline interpolation to obtain the over-sampled waveform. Once the sampled step-waveform is obtained, the TDR profile of the sampled data channels may be calculated. Large amounts of impedance variation data may thus be collected during either integrated circuit manufacturer or customer-built data communications channel testing.

The invention discloses a high-precision photon digital-to-analog conversion system based on noise shaping, which is characterized in that a mode-locked laser generates an optical pulse sequence, optical pulses enter a dispersive medium, and periodic pulses are processed by using a fractional order Talbot effect, so that the pulse repetition frequency is improved; the Delta-Sigma (Delta Sigma) modulation module processes a preset target signal and shifts noise to a high frequency band based on an oversampling technology and noise shaping to realize conversion from an analog signal to a digital signal; the pulse signal with the repetition frequency increased is input into the electro-optical modulation module to serve as a sampling source, and a digital signal generated by the delta-sigma modulation module is input into the electro-optical modulation module for intensity modulation, so that the optical pulse carries the characteristics of frequency change and noise shaping of the signal, and fusion from electric signal modulation to optical signal modulation is completed; inputting the pulse signal after electro-optical modulation into a photoelectric detector, and converting an optical signal into an electric pulse signal; the electric pulse signal enters a filtering module, noise in the electric signal is filtered out, and an analog signal is obtained.

Methods, systems, and devices for a wakeup receiver operation is described. A receiver may include a conversion circuit that converts an RF signal to a baseband signal, where the baseband signal comprise a set of symbols received at a symbol rate. The receiver may include an analog-to-digital converter that converts the baseband signal to samples at a sample rate greater than the symbol rate. The receiver may include a set of correlators, each correlator of the set may receive a respective subset of the samples of the baseband signal and generate a respective output. The receiver may include a compare circuit that receives the respective outputs from the set of correlators and compares the respective outputs with a threshold, where the compare circuit also generates a wakeup command based at least in part on at least one output of the respective outputs satisfying the threshold.

This invention provides an adaptive AGC control circuit and method for broadband RF front-ends. The circuit includes: a gain tuning circuit connected to the RF link of the broadband RF front-end; and a signal detection circuit connected to the gain tuning circuit. The signal detection circuit is used to sample the RF signal in the RF link of the broadband RF front-end through an ADC, and to perform signal processing and gain control on the sampled RF signal based on an FPGA, thereby controlling the gain tuning circuit. This invention uses an FPGA+ADC hardware solution to achieve real-time detection and closed-loop fast control to realize adaptive AGC control of the broadband RF front-end, which has the following characteristics: 1. Simple circuit structure, clear logic, and easy implementation; 2. Real-time signal acquisition and processing with low state control delay; 3. High accuracy of dual-threshold signal detection and discrimination; 4. Flexible and controllable gain, and wide applicability.

The application provides a new hybrid nested noise shaping architecture suitable for noise shaping SAR ADC, which adopts a dynamic working closed-loop cascode FIA as a residual amplifier to reduce power consumption by eliminating the static current of the amplifier and removing the gain calibration circuit; the shaping architecture performs fourth-order noise shaping through the nested second-order CIFF and second-order EF noise shaping loops to achieve high precision in noise shaping at the same oversampling rate, and integrates the sampling noise cancellation (SNC) method to reduce the capacitance of the sampling capacitor to save chip area; the architecture adopts a closed-loop cascode FIA as a residual amplifier and CIFF and EF as noise shaping loops to solve the problem that the traditional noise shaping SAR ADC is difficult to simultaneously achieve high precision and low power consumption. In addition, the sampling KT / C noise cancellation (SNC) technology is integrated to reduce the capacitance of the sampling capacitor and save chip area.

The application discloses a kind of calibration method and device for rotary variation soft decoding, calibration method includes: according to N times oversampling frequency respectively sampling rotary variation feedback sine and cosine feedback signal envelope surface and obtaining positive, cosine oversampling signal;Positive, cosine oversampling signal is handled to obtain the zero position offset of rotary variation positive, cosine envelope signal;Positive, cosine oversampling signal is handled to obtain the amplitude of rotary variation positive, cosine envelope surface;Positive, cosine oversampling signal is handled to obtain the phase deviation of rotary variation positive, cosine envelope surface;Through the amplitude, zero position offset, phase deviation obtained by calculation, the envelope surface of rotary variation positive, cosine is compensated, and the signal after compensation is sent into phase-locked loop to obtain the angle and rotational speed information of rotary variation.The application obtains accurate amplitude, zero position offset, phase difference in turn, and then carries out error compensation, finally obtains corrected positive, cosine signal, effectively guarantees the efficiency of motor.

The invention relates to a ground-based radar super-resolution imaging method based on sparse reconstruction and local super-sampling. The ground-based radar super-resolution imaging method comprises the steps of ground-based radar signal modeling and data preprocessing; constructing a measurement model and sparse representation; sparse reconstruction of coarse grids; peak detection and local window selection; local oversampling and fine inversion are carried out; sub-pixel fitting and coordinate refining are carried out; carrying out continuous nuclear least square refining; and imaging fusion and result output are carried out, so that smooth transition among a plurality of overlapped regions is realized. According to the invention, high-precision reconstruction and detail enhancement of ground-based radar observation data are realized, the imaging quality and the target positioning precision can be effectively improved, and the method is suitable for various application scenes such as surface deformation monitoring, slope stability analysis and engineering structure safety detection.

To suppress a demodulation error rate while utilizing a fractional spreading factor in LoRa modulation.SOLUTION: A demodulator (30) comprises a sampling unit (302), a correction unit (306), an estimation unit (307), and an output unit (308). The sampling unit performs oversampling on a received signal subjected to FSF-LoRa modulation that uses a predetermined spreading factor and a predetermined fractional coefficient, at a sampling interval obtained by dividing a chip length used in the FSF-LoRa modulation by a predetermined oversampling coefficient, thereby generating an equivalent low-pass signal. The correction unit (306) performs correction, which is based on the spreading factor, the fractional coefficient and the oversampling coefficient, on a de-spread DFT signal obtained by performing de-spreading processing and DFT processing on the equivalent low-pass signal, thereby generating a correction signal. The estimation unit (307) estimates a frequency index having a maximum amplitude among a plurality of frequency indices included in the correction signal as an index of a desired signal.SELECTED DRAWING: Figure 3

The invention relates to the technical field of quantum information, in particular to a quantum random number generation method and system. The method comprises the following steps: sampling ASE noise analog electric signals at a rate greater than the bandwidth of a photoelectric detector and a rate less than the bandwidth of the photoelectric detector through a sampling oscilloscope to obtain two original random sequences; through a post-processing module, moving each element in each original random sequence rightwards according to a preset digit of the sequence; vacancies generated after right shifting are circularly complemented by starting elements on the left side of the sequence, and a target random sequence of the original random sequence is obtained; performing differential operation on each original random sequence and a target random sequence thereof, setting elements greater than 0 as 1, setting elements less than 0 as 0, rejecting elements equal to 0, and constructing a binary sequence of each original random sequence; and performing XOR operation on the binary sequence of each original random sequence to obtain a target quantum random number. According to the invention, the quantum random number generation cost is reduced, and the generation rate is improved.

This application provides a synchronous data acquisition card, which includes a conversion unit, a signal acquisition module, and a control chip. The control chip generates training instructions, and the conversion unit switches the data channel to the synchronous signal training channel according to the training instructions. Next, the control chip generates a first synchronous training signal and a second synchronous training signal with the same phase frequency. Then, the signal acquisition module samples the first synchronous training signal and the second synchronous training signal respectively through the synchronous signal training channel to obtain a first training sampled signal and a second training sampled signal. Finally, the control chip calibrates the signal acquisition module based on the first training sampled signal and the second training sampled signal, and synchronously samples through the sampling channel. The above scheme ensures that the data acquired simultaneously from different channels are synchronous data, reduces the lag relationship between data from different channels, and obtains the best state of data synchronization across different channels.

The invention relates to a multifunctional liquid level detection method, which comprises the following steps of: 1, sending an instruction and initializing an MCU (Microprogrammed Control Unit) through an upper computer, and determining a detection task and an initial parameter; step 2, on the basis of the initialization parameters in the step 1, a sampling needle is put into a test tube to scan a capacitance detection module, and the capacitance detection module captures a capacitance change signal after the sampling needle is in contact with the liquid level; the sampling needle is of a double-needle-tube structure comprising a sampling needle tube and a mixing needle tube; 3, on the basis of the capacitance change signal in the step 2, liquid level position judgment and sample size state judgment are completed through MCU algorithm processing; and step 4, based on a sample size judgment result in the step 3, respectively completing mixing or direct sampling operation through function division and hardware cooperation of the sampling needle tube and the mixing needle tube. The method has the advantages that the accuracy is greatly improved, the anti-interference capacity is high, and the operation process is simplified.

The present invention provides a generalized constant modulus signal generation method, device and communication equipment. The method comprises: obtaining a first matrix according to a single-user signal or a multi-user signal, the first matrix including M rows and N columns, where M and N are integers greater than 1; subjecting the M signals in each column to a first transform domain processing to obtain a first sequence, the first sequence including M signals; repeating the M signals in the first sequence J times and then performing point multiplication with a filter of length M×J to obtain a second sequence of length M×J, where J is an oversampling factor and J is an integer greater than 1; subjecting the second sequence to a second transform domain processing and zero padding processing to obtain a third sequence of length M×N, and cyclically shifting the third sequence to obtain the first signal; accumulating the first signals of all columns to obtain a second signal, and performing phase modulation on the second signal to obtain a generalized constant modulus signal, the generalized constant modulus signal occupying M symbols in the time domain and N subcarriers in the frequency domain.