29 results about "Signal averaging" patented technology

The invention provides a phase error correction method for an inductive position sensor. The device is characterized by consisting of a first group of multipliers (1), a sliding window integrator (2) for solving a signal average value in a period of time, a second group of multipliers (3) and an adder group (4). The method can be used for correcting and eliminating the phase error in the inductive position sensor chip circuit, and can be widely applied to the fields of industrial robots, automobile manufacturing, industrial automation and the like.

This invention relates to a method and system for monitoring and enhancing the power of GPS P(Y) signals based on civilian signal tracking. The method employs a carrier tracking loop to stably track civilian satellite navigation signals, generating a local carrier with the same frequency and phase as the GPS satellite navigation digital signal. The GPS satellite navigation digital signal is then orthogonally mixed with the local carrier to output the in-phase branch signal u. I (n) and the orthogonal branch signal u Q (n); the in-phase branch signal u I (n), Orthogonal branch signal u Q (n) Perform low-pass filtering and incoherent integration respectively to obtain the average power P of the baseband signal in the in-phase branch. IB Average power P of baseband signal in orthogonal branch QB The average power P of the baseband signal in the same phase branch IB Average power P of baseband signal in orthogonal branch QB The power enhancement state of the current P(Y) signal is determined by comparing it with the weak-state power threshold of the in-phase branch, the strong-state power threshold of the in-phase branch, the strong-state power threshold of the quadrature branch, and the weak-state power threshold of the quadrature branch.

This invention discloses a remote, non-contact heart rate estimation method, system, and device based on sparse structure representation, belonging to the field of physiological sign research applications. It addresses the problem of inaccurate heart rate signal detection in existing methods, including: Step 1: Inputting a face video and segmenting the face into multiple sub-regions; Step 2: Constructing the average RGB pulse signal for each sub-region, performing motion compensation, and calculating the chromaticity signal S using linear combinations of different RGB channels, and calculating the signal-to-noise ratio; Step 3: Solving for the coefficient matrix using a structure dictionary composed of cosine bases of different frequencies and wavelet bases of different scales, and reconstructing the heart rate signal using the structure dictionary and coefficient matrix; Step 4: Averaging the reconstructed sub-region heart rate signals and performing power spectral analysis to calculate the heart rate HR. Finding the optimal sparse representation based on the dictionary, reconstructing the heart rate signal using the dictionary and sparse coding, and representing the most realistic heart rate signal with as few dictionary atoms as possible helps improve the accuracy of the algorithm.

This invention discloses a variable-step automatic gain control method based on an adaptive window, applicable to signal automatic gain control in data acquisition systems. The method preprocesses the input signal and samples it using an ADC to obtain a digital signal, which is then fed into an FPGA. A zero-crossing detection method based on a hysteresis comparator is used to estimate the signal frequency, and the window length is calculated based on this adaptive amplitude matching. The average signal amplitude within the window is then calculated and compared with a preset automatic gain threshold range. The gain step value is dynamically matched and updated to the variable gain amplifier to complete closed-loop control. Finally, the gain value is used to perform an amplitude inverse calculation to restore the signal. This invention improves the detection accuracy and dynamic response speed of the system over a wide bandwidth and dynamic range, eliminates the hardware resource consumption of floating-point division operations, and accurately outputs a distortion-free original proportional signal stream.

The invention belongs to the technical field of integrated circuits, and provides a single-ended MEMS input-to-differential output circuit and an implementation method thereof. Through the CMFB circuit, effective signals of the CMEMS are averagely distributed to the VBIAS end and the VIN end, the maximum signal range which can be processed by the Pre-amplifier is doubled, meanwhile, a single-end-to-differential circuit is omitted, power consumption and noise are reduced, and circuit performance is improved. Compared with the prior art, according to the technical scheme, an impedance matching circuit or a capacitance compensation circuit is omitted, so that signal attenuation caused by parasitism is reduced, and performance is improved. Particularly, the stray capacitance of the VBIAS end can be ignored. The problem of performance deterioration under the condition that the stray capacitance of the VBIAS end is too large in the prior art is solved.

The present invention relates to the technical field of wireless communications. Disclosed in the present invention is a power amplifier. The power amplifier comprises a signal input end, a radio frequency amplifier and a signal output end which are electrically connected in sequence, and an average power tracking circuit. An input end of the average power tracking circuit is used for connecting a power supply and receiving an output signal of an external host computer, an output end of the average power tracking circuit is connected to an input end of a radio frequency amplifier, and the average power tracking circuit is used for converting, on the basis of a received target voltage value, a power supply voltage output by the power supply into a preset voltage to supply power to the radio frequency amplifier. The average power tracking circuit comprises a voltage conversion circuit, a comparator, a loop filter circuit, a PWM modulator, a voltage divider circuit, a pulse circuit, and a first inductor. By switching the characteristics of the loop filter, the present invention enables the power supply to achieve both fast establishment and high-precision output, thereby allowing a working voltage of the amplifier to be as low as possible, and further reducing power consumption of the power amplifier.

The invention discloses a classical Bluetooth adaptive frequency hopping optimization method and device, and relates to the field of Bluetooth transmission. The method comprises the following steps: counting the average power of received signals while Bluetooth master equipment receives a response data packet of slave equipment in odd time slots; the average background noise power is counted in the idle time before the odd number of time slots are finished; determining a real-time signal-to-noise ratio according to a ratio of the average power of the received signal to the average power of the background noise; judging whether the real-time signal to noise ratio is greater than a signal to noise ratio threshold value; if yes, the current channel is kept in an available state in the self-adaptive frequency hopping mapping table; if not, updating the adaptive frequency hopping mapping table, and marking the current channel as an unavailable state; and synchronizing the updated adaptive frequency hopping mapping table to the slave device, so that the master device and the slave device are switched to the updated adaptive frequency hopping mapping table for communication according to preset time. The technical problems that the real-time performance is poor and the transmission efficiency is affected when the frequency hopping mapping table is generated in the Bluetooth transmission process are solved.

The invention relates to the technical field of electrocardiosignal analysis, and discloses an autonomic nerve function evaluation method based on a phase whole sequence signal averaging technology, and the method comprises the steps: selecting a plurality of deceleration anchor points and / or acceleration anchor points from a plurality of sequence values of a heart beat interval sequence of a first to-be-detected object; for each deceleration anchor point / acceleration anchor point, selecting a deceleration sequence segment / acceleration sequence segment corresponding to each deceleration anchor point / acceleration anchor point from the heart beat interval sequence of the first to-be-tested object; averaging values with the same sequence in the plurality of deceleration sequence segments / acceleration sequence segments to obtain a deceleration signal sequence / acceleration signal sequence of the first to-be-detected object; performing power spectral density analysis on the deceleration signal sequence / acceleration signal sequence of the first to-be-detected object to obtain a deceleration index / acceleration index of the first to-be-detected object; and evaluating the autonomic nerve function of the first to-be-tested object according to the deceleration index and / or the acceleration index of the first to-be-tested object. The autonomic nerve function can be evaluated more accurately.

The application discloses a face video blood oxygen saturation detection method and system based on deep learning, and relates to the technical field of computer vision; the method comprises the following steps: shooting a face video; acquiring frame-by-frame pictures of segmented face key regions in the face video; extracting iPPG signals of the face key regions through the frame-by-frame pictures of the face key regions, and equally dividing the iPPG signals of each face key region into multiple segments; training a CNN-BiLSTM-GRU blood oxygen saturation prediction model; inputting the segmented iPPG signals into the CNN-BiLSTM-GRU blood oxygen saturation prediction model respectively, and obtaining multiple preliminary blood oxygen saturation prediction values for each face key region; inputting the multiple preliminary blood oxygen saturation prediction values of each face key region into discriminators respectively, and obtaining final blood oxygen saturation prediction values through signal screening; and the method can effectively and reliably predict oxygen saturation values from the face video, and can meet the long-term detection of blood oxygen saturation values in daily life.

The invention relates to the technical field of signal processing, in particular to a signal-to-noise ratio estimation algorithm based on an auto-encoder, which comprises the following steps of: firstly, selecting four groups of parameter signals with different code element rates and roll-off factors, each group containing 16 mainstream modulation type sub-signals, segmenting the sub-signals, adding Gaussian white noise to construct a data set, and performing data processing on the data set; dividing into a training set and a verification set according to the ratio of 7: 3, and calculating a noise adding signal and a power spectrum of corresponding noise by adopting a Welch method; secondly, constructing a stacked full-connection auto-encoder, taking a training set noise adding signal power spectrum as input, taking a noise power spectrum as a target, and introducing L2 regularization suppression over-fitting according to set batchsize and epoch training; and finally, inputting a test set noise adding signal into the trained model to obtain the noise average power, and calculating the signal average power and the signal-to-noise ratio by combining the noise adding signal power spectrum. The method can cover multiple signal parameters and modulation scenes, the low signal-to-noise ratio interval precision is better, the process is clear, engineering landing is easy, and the method is suitable for a multi-standard communication system.

This invention relates to an automatic gain control (AGC) circuit and an RF receiving circuit for IR-UWB communication, comprising: an adjustable gain amplifier for receiving a signal to be processed, and a first control unit, a second control unit, an AD sampling unit, a sampling threshold setting unit, a signal averaging unit, a first comparison unit, a first loop filter, a second comparison unit, and a second loop filter; the adjustable gain amplifier is connected to the second control unit; the AD sampling unit is connected to the adjustable gain amplifier and the sampling threshold setting unit; the signal averaging unit is connected to the AD sampling unit; the first comparison unit is connected to the signal averaging unit and the first loop filter; the first control unit is connected to the first loop filter and the sampling threshold setting unit; the second comparison unit is connected to the first loop filter and the second loop filter; and the second control unit is connected to the second loop filter. Implementing this invention can reduce circuit area and power consumption while ensuring the performance of the AGC circuit.

The application discloses a receiver disturbed state prediction method for homotype device adjacent frequency interference, and belongs to the technical field of electromagnetic compatibility, and comprises the following steps: based on an interference signal spectrum, signal average power of adjacent frequency interference signals with different frequency offsets coupled through a receiving channel is predicted; processing benefits of the adjacent frequency interference signals with different frequency offsets after passing through a receiver signal processing channel are predicted, and a relative relationship between the processing benefits and the frequency offsets is obtained; based on the signal average power and the relative relationship between the processing benefits and the frequency offsets, adjacent frequency interference signals are converted into response equivalent homochromatic interference signals through amplitude equivalence; and a disturbed state of the receiver is predicted based on a homochromatic interference signal sensitive threshold. Through the application, equivalent interference power of homochromatic signals response equivalent to the adjacent frequency interference signals can be calculated.

The application discloses a kind of oxygen sensor calibration method, device, equipment and medium, comprising: by air gas source or pure oxygen source to the airway of oxygen sensor to be calibrated is ventilated, and first electric signal average and third electric signal average are obtained, and second electric signal average and fourth electric signal average;Altitude is obtained by altitude sensor, and first oxygen concentration value and second oxygen concentration value are determined according to altitude;First group of calibration data and second group of calibration data are used to calculate preset response function, and target response function is obtained;Second electric signal average and fourth electric signal average are used to check target response function respectively, and first check result and second check result are obtained;When check result meets preset check condition respectively, it is determined that calibration is successful.The application eliminates the influence of altitude height rising on oxygen sensor calibration by increasing altitude sensor, and improves the accuracy of oxygen sensor calibration.

The devices, systems, and methods can overcome the impact of scan protocols on experimental measurements to reconstruct the CEST equilibrium effect and can therefore improve the quantification of the underlying CEST contrast mechanism. The methods may include determining a spinlock relaxation rate for each RF offset for at least the first signal average so that the normalized spectrum for each RF offset and each slice first signal average corresponds to at least each transient state associated with each saturated slice readout normalized by at least each control state associated with each control slice readout based on the spinlock relaxation rate. The method may further include reconstructing CEST equilibrium effect for each RF offset using the respective spinlock relaxation rate for the RF offset. The method may include determining one or more quantitative information using the CEST equilibrium effect.

The invention provides a detection method and system for non-invasively evaluating the degree and position of functional myocardial ischemia. The method comprises the following steps: acquiring 12-lead high-frequency electrocardiosignal data of a testee; preprocessing the signal, and extracting a QRS wave band signal; performing signal averaging on the qualified QRS wave bands according to leads to generate 12 average high-frequency QRS; extracting a feature combination reflecting the functional myocardial ischemia and having clinical physiological significance from the signals; mapping leads to the heart apex, the front wall, the dividing wall, the lower wall and the side wall and aggregating regional features; obtaining a region score through linear combination; monotonicity is calibrated as regional ischemia percentage by adopting isotonic regression; and outputting the total heart ischemia percentage and the ischemia position in an equal-weight average manner. The method is highly related to the SPECT / CT gold standard, the degree and position of functional myocardial ischemia can be noninvasively and accurately detected, the method is not limited by detection sites, a new method is provided for checking myocardial ischemia, and the incidence rate of malignant heart diseases is reduced.

A system for VT localization comprises an electrocardiograph (ECG) device for detecting electrical signals of a ventricular fibrillation event in a patient and producing ECG data, a localizer, and a display device. The localizer comprises a memory and a processor, the memory storing a model and one or more parameters of the model. The memory further stores instructions that when executed by the processor cause the processor to receive the ECG data, and generate a determination indicating whether a detected VT signal arose from an endocardial surface or epicardial surface based on signal averaged waveform for each of the leads. The display device is configured to output the determination, which can also be communicated to follow-on provider systems.

Method and system (1) for determining a respective geographical position (GP) of defects (RD) of a road surface (900), the system (1) comprising a first acquisition system (2) structured to acquire over time a signal (S) representative of a motion of a crown portion (30) of a tyre (3) of a vehicle (99), a second acquisition system (20) structured to acquire information representative of a plurality of geographical positions (Loc) of the vehicle (99) along a path, and a processing unit (8) programmed to receive the signal (S) and the information representative of the plurality of geographical positions (Loc) and to perform the following steps of the method: dividing the signal (S) into a set of signal portions (SP); for each signal portion (SP), calculating a respective value of a parameter (KPI) representative of an average power of the signal; comparing each respective value of the parameter (KPI) with a threshold value (TS); selecting each signal portion (SP) corresponding to a respective value of the parameter (KPI) greater than the threshold value (TS), to obtain a set of candidate signal portions (SP'); correlating each candidate signal portion (SP') to at least one respective geographical position (Loc) and determining a respective geographical position (GP) of a respective defect (RD) for each candidate signal portion (SP') as the at least one respective geographical position (Loc) correlated to the candidate signal portion (SP').

The invention relates to the technical field of adaptive narrowband interference suppression, and discloses an adaptive narrowband interference suppression method and related equipment, and the method comprises the steps: carrying out the preprocessing of a received signal, obtaining a power related parameter of the signal, carrying out the first interference detection based on the power related parameter of the signal, and obtaining a first interference detection result; and performing second interference detection based on the first threshold value and the signal average power lower than the first threshold value to obtain a second interference detection result, and dynamically selecting one of the first threshold value and the second threshold value as a final threshold value in combination with the first interference detection result and the second interference detection result. And performing interference elimination through frequency domain notch based on the final threshold value. According to the invention, the technical problem of narrowband interference suppression which is adaptive to environment change and can give consideration to both anti-interference efficiency and signal fidelity is realized.

The invention provides a signal detection method and device, electronic equipment and a medium, and the method comprises the steps: receiving incident light from a deep ultraviolet light source; converting the incident light from a deep ultraviolet band by using a wavelength conversion crystal to obtain a visible band optical signal; enabling the visible wave band optical signal to pass through a narrow-band optical filter and a photosensitive diode in sequence so as to convert the optical signal into a current signal; in an electromagnetic shielding environment, processing the current signal to obtain a digital signal; and performing signal processing including digital filtering and signal averaging on the digital signal, and inverting and outputting intensity information of the deep ultraviolet light source based on the processed data. According to the invention, the light intensity detection efficiency is improved.

The invention discloses a satellite identity legality verification method and device for a giant satellite base system, and relates to the field of satellite communication, and the method comprises the steps: obtaining a satellite data set; the satellite data comprises one or more of a satellite signal time difference of arrival TDoA, a Doppler frequency deviation DoDFS and a signal average receiving power difference DoRP, and corresponding identity legality labels; the labels comprise legal, illegal and attacked labels; dividing the satellite data set into a training set and a test set; constructing an identity legality verification model based on CNN-LSTM deep learning; training an identity legality verification model based on the training set; verifying and classifying the legality of the satellites in the giant satellite base system based on the trained identity legality verification model; the accuracy of the trained identity validity verification model is evaluated, if the evaluation result is lower than a preset threshold value, the identity validity verification model is trained again until convergence, and high-precision recognition of the identity validity of the satellite can be achieved.

The invention provides an unmanned aerial vehicle radiation comparison direction finding method based on time decay moving average, and the method comprises the steps: enabling a direction finding processor to receive unmanned aerial vehicle target information containing an unmanned aerial vehicle frequency point and a detection time interval Td, and carrying out the initialization of direction finding data for an unmanned aerial vehicle target; for the ith directional antenna, if an effective unmanned aerial vehicle wireless signal, namely an effective receiving signal, is received within a specified time interval Ts, the average receiving signal intensity of the directional antenna is updated by using an exponential weighted moving average algorithm according to the signal intensity of the current receiving signal; for the jth directional antenna, if effective unmanned aerial vehicle wireless signals, namely effective receiving signals, are not received within a specified time interval Ts, the average intensity of the receiving signals of the directional antenna is updated by using an exponential weighted moving average algorithm according to the electromagnetic bottom noise in the environment; meanwhile, the latest update time of the directional antenna is set as the current time; and the single received signal strength estimation error and the jitter along with time or environment are effectively inhibited.

The application discloses a satellite identity legitimacy verification method and device of a mega constellation system, and relates to the field of satellite communication. The method comprises the following steps: acquiring a satellite data set; the satellite data comprises one or more of satellite signal time difference of arrival (TDoA), Doppler frequency shift (DoDFS) and signal average received power difference (DoRP), and corresponding identity legitimacy labels; the labels comprise legitimate, illegal and attack; dividing the satellite data set into a training set and a test set; constructing an identity legitimacy verification model based on CNN-LSTM deep learning; training the identity legitimacy verification model based on the training set; verifying and classifying the legitimacy of the satellites in the mega constellation system based on the trained identity legitimacy verification model; evaluating the accuracy of the trained identity legitimacy verification model, and if the evaluation result is lower than a preset threshold, retraining the identity legitimacy verification model until convergence. The application can realize high-precision identification of satellite identity legitimacy.

The invention discloses a physiological state assessment method, system and device and a storage medium, and relates to the technical field of physiological state assessment, and the method comprises the steps: collecting a multi-source physiological signal of a user; calculating the complexity of each physiological signal; setting a threshold standard of signal complexity, decomposing signals with the complexity higher than a threshold by adopting a signal decomposition method, and combining sub-signals obtained after decomposition with undecomposed models; calculating correlation degrees among the signals by adopting a clustering analysis method, screening out the signal with the highest average correlation degree with each signal, and placing the signal with the highest correlation degree with the signal in the residual signals adjacent to the signal to obtain a reordered feature matrix; using a convolutional neural network to extract high-order information features in the reordered feature matrix; evaluating the physiological state of the user according to the high-order features; according to the method, the correlation between the signals is fully utilized, and the physiological state evaluation accuracy of the multi-source physiological signals with complexity is effectively improved.

A circuit for providing temperature compensation to sense signals in a single-ended DC resistance (DCR) sensing network for a multiphase switching power supply includes a temperature compensation calculator circuit generating a compensation adjust signal indicative of a sensed temperature; a compensating impedance network receiving the positive sense signals for all the phases and generating a correction signal for each phase in response to at least the positive sense signal for each phase and the compensation adjust signal; an average circuit coupled to average the correction signals of all phases, where copies of the average correction signal are applied to modify the positive sense signals; and an amplifier circuit receiving a summed positive sense signal being the sum of the modified positive sense signals for all the phases and a summed negative sense signal to generate an output signal having substantially zero temperature coefficient over the first frequency range.

This application relates to the field of electrocardiogram signal analysis technology and discloses a method for assessing autonomic nervous function based on phase-ordered signal averaging technology. The method includes: selecting multiple deceleration anchors and / or acceleration anchors from multiple sequence values ​​of the intercardiac interval sequence of a first test subject; for each deceleration anchor / acceleration anchor, selecting a corresponding deceleration sequence segment / acceleration sequence segment from the intercardiac interval sequence of the first test subject; averaging the values ​​with the same order among the multiple deceleration sequence segments / acceleration sequence segments to obtain a deceleration signal sequence / acceleration signal sequence of the first test subject; performing power spectral density analysis on the deceleration signal sequence / acceleration signal sequence of the first test subject to obtain a deceleration index / acceleration index of the first test subject; and assessing the autonomic nervous function of the first test subject based on the deceleration index and / or acceleration index. This application can more accurately assess autonomic nervous function.

The application discloses a device and method for improving average power measurement accuracy of complex modulation signals, and belongs to the field of microwave power measurement. The device comprises an FPGA, a high-speed chopping circuit and a driving circuit, and the FPGA, the driving circuit and the high-speed chopping circuit are sequentially connected through lines. The application adopts the high-speed chopping circuit and a digital chopping technology based on the FPGA, can basically perform data collection without losing points in one chopping period, simultaneously designs a variable chopping period, so that the measurement length is always an integer multiple of the complex modulation signal period and contains an integer number of chopping periods, and accurate measurement of the average power of the complex modulation signal is realized.

A framing processing unit converts a first digital music signal quantized with a first number of quantization bits, into frames. A difference signal calculation unit calculates a first difference signal in which a difference sample is a difference value between two adjacent samples. A flat area detection unit detects a flat area in the first difference signal. A flat area correction unit generate a second difference signal in which the flat area is altered to not be flat. A difference signal averaging unit calculates a difference average value and subtracts the difference average value from each sample value of the second difference signal to generate a third difference signal. A requantization error generation unit generates a requantization error signal. An addition unit adds the requantization error signal to the first digital music signal and outputs a second digital music signal having a second number of quantization bits.

A frame processing section (1) frames a first digital music signal of a first number of quantization bits. A difference signal calculating section (2) calculates a first difference signal that takes a difference value between two adjacent samples as a sample. A flat region detecting section (3) detects a flat region in the first difference signal. A flat region correcting section (4) generates a second difference signal that makes the flat region non-flat. A difference signal averaging section (5) calculates a difference average value for each frame, and generates a third difference signal by subtracting the difference average value from each sample value of the second difference signal. A re-quantization error generating section (6) generates a re-quantization error signal for each frame based on the third difference signal. An adding section (7) adds the re-quantization error signal to the first digital music signal included in each frame, and outputs a second digital music signal of a second number of quantization bits.

This invention discloses a multipath-resistant LoRa communication method combining block interleaving and matched filtering, belonging to the field of Internet of Things (IoT) technology. The steps are as follows: Block interleaving reduces the amplitude of strong multipath signals by dividing the signal into equal blocks and then swapping the order of these blocks, followed by deinterleaving at the receiver; matched filtering increases the signal-to-noise ratio (SNR). Matched filtering is selected based on amplitude criteria, first filtering the preamble symbol, then performing circular correlation operations using the preamble and data symbols. This method effectively resists multipath interference and improves the bit error rate performance of LoRa communication. It is low in complexity, low in power consumption, and simple to implement, making it suitable for multipath-intensive indoor and outdoor communication scenarios and shallow water acoustic communication.