32 results about "Continuous signal" patented technology

The application discloses a kind of Φ-OTDR system coherence fading inhibition method and device based on spatial resolution internal redundant data, specifically: first, simulate random one-dimensional continuous signal and noise waveform, and carry out channel replication expansion, add different random noise to the waveform of each channel, obtain multi-channel signal and noise data set;Then set the structure, parameter, activation function, loss function and optimizer of time sequence neural network model, data set is sent into model and is trained;Then judge whether the model error meets the requirements, if it does not meet the requirements, adjust the structure, parameter, activation function, loss function and optimizer of model, retrain the model;If it meets the requirements, the actual data detected by Φ-OTDR system is processed and packed, and is sent into the trained model for prediction, to obtain the signal characteristics distributed along the whole optical fiber.The application has low complexity, reduces the influence of coherence fading noise on Φ-OTDR system, and improves the transmission ability of the system.

The present application relates to the technical field of fan blades, and particularly to a fan blade fault diagnosis method and system based on voiceprint and vibration fusion analysis, which forms a joint observation unit by synchronously and consistently checking blade voiceprint segments and vibration segments in the same time window, and gives a diagnosis qualification based on the stability of joint energy in the window within the joint observation unit; the cooperative relationship between the voiceprint and the vibration is described by using a cooperative relationship measure with an energy regularization term, and a fusion relationship violation damage judgment is formed by combining local time evolution deviation, so as to convert continuous signals into discrete blade fault events. Then, the fault events are aggregated into event clusters according to time adjacency, and the cluster level severity is calculated, the severity is mapped to pre-configured diagnosis classification and disposal rules, an explicit blade fault diagnosis conclusion is output, and disposal actions such as alarm, work order or risk prompt are triggered, so that the diagnosis result is directly implemented in the fan monitoring and operation system.

This invention discloses an electronic image sharpening method based on image processing, comprising: mapping the image to an initial continuous signal function continuously distributed in coordinates; constructing a liquid time constant prediction branch and generating liquid response parameters based on local gradient and contrast features; reconstructing the discrete state transition matrix into a dynamic evolution kernel, constructing a liquid state space model architecture and performing bidirectional scanning to obtain a latent space state feature sequence; calculating an edge gain adjustment factor and coupling it to the input weight matrix to generate an evolutionary feature tensor; performing spatiotemporal smoothing correction in conjunction with sensor motion parameters; and outputting the electronic image through spatial dimension recovery and implicit function resampling. This invention achieves enhanced edge details while suppressing background noise, eliminating displacement deviations and artifacts, and significantly improving the sharpness and structural fidelity of electronic images.

This invention discloses a signal Doppler tolerance and sidelobe optimization method based on a weighted ambiguity function template. The method includes determining a discrete ambiguity function based on a two-dimensional ambiguity function of a continuous signal and a radar transmitted signal; obtaining matched filtering results for signals with different Doppler frequency shifts and determining the main lobe and sidelobe positions based on the Doppler frequency shift results; for the Doppler frequency shift case, establishing a cost function for Doppler tolerance optimization and a weighted cost function for joint optimization of Doppler tolerance and sidelobe based on the main lobe and sidelobe positions, respectively; setting the weight coefficients of the weighted cost function according to signal characteristic requirements to obtain the target cost function; and using simulation parameters for iterative updating to obtain the optimization result. This invention can improve signal Doppler tolerance while reducing signal sidelobes, significantly improving the practicality of random noise signals; and it allows for setting weight coefficients according to signal characteristic requirements to adjust the optimization ratio of signal Doppler tolerance and sidelobe, providing strong flexibility.

The application discloses a satellite navigation receiver signal processing method and system, and belongs to the technical field of satellite navigation. The method comprises the following steps: step 1, initializing the satellite navigation receiver, and establishing a communication link between the satellite navigation receiver and an RTK reference station; step 2, processing received satellite signals by the satellite navigation receiver to obtain satellite ephemeris parameters; then combining the received reference station data to form basic data; step 3, constructing a carrier phase double difference prediction model and a code phase prediction model, combining the basic data, respectively calculating local carrier signal control quantities and local code signal control quantities, and writing the control quantities into a digital control oscillator; and step 4, performing position solving, updating a satellite navigation receiver predicted position by using a new position obtained by solving, and feeding back to step 3 to form a closed loop control of position solving assisted signal tracking. The application can realize high-precision and continuous signal tracking in a complex environment.

The application belongs to the technical field of wireless positioning, and discloses a method and device for wireless positioning and multipath signal generation, frequency, amplitude, modulation and delay data are issued in real time by a host computer, linear interpolation is performed on transmission delay data by a digital processing module, and a signal instantaneous value is generated by using a phase increment calculation combined with a lookup table mode, so that the multipath signal dynamically changing in a wireless positioning scene can be accurately simulated, the carrier phase and delay characteristics are taken into account, the problem that a traditional method only pays attention to pseudo code phase change and ignores the carrier phase delay characteristic is solved, and the signal transmission law in a complex motion scene can be more truly restored; interpolation processing and buffer cache output are used, so that continuous and stable signal output can be realized, accumulated errors caused by the fact that a frequency word cannot be divided by an integer are effectively avoided, the simulation accuracy under long-time operation conditions is improved, and the signal generation stability and reliability are ensured; and continuous signals are directly output through digital-to-analog conversion and signal conditioning.

This utility model provides a geological disaster monitoring and protection network. The monitoring and protection network consists of a mesh sensing unit, a signal processing unit, and an adaptive fixing component. The mesh sensing unit is a grid of continuous signal sensing lines covered with an environmental protection layer. The signal processing unit is electrically connected to both ends of the sensing lines, detects continuity and outputs a level signal. The adaptive fixing component includes anchors and a clamping mechanism. The anchor end is inserted into the geological body, and the mounting end is connected to the base of the clamping mechanism. The clamping mechanism fixes the nodes of the detection network through clamping channels and closures, and the sensing lines remain conductive within the channels. The anchors and clamping mechanism are connected at adjustable angles. The clamping channels are cross-shaped, and the closures are spiral locking caps. Adjacent sensing units are connected in series through plug-in terminals. This monitoring and protection network provides comprehensive monitoring, is stable and reliable, easy to install and maintain, highly adaptable to the environment, and also has a protective function.

The application provides a refrigerant leakage detection method, system, device and medium of an air energy device. The method comprises the following steps: controlling an infrared emitter to emit an initial infrared light with continuous wavelengths into a detection space; continuously receiving a target infrared light by the infrared emitter, the target infrared light being an infrared light formed by attenuation of the initial infrared light through refrigerant energy absorption in the detection space; determining at least one wavelength interval with signal deviation from the initial infrared light due to refrigerant energy absorption according to continuous signal values in the target infrared light; forming corresponding infrared absorption peaks by continuous signal values in each wavelength interval; determining a composition of the refrigerant according to each infrared absorption peak; and determining a leakage risk level of the refrigerant according to the composition. The method realizes accurate species and quantitative analysis and intelligent grading early warning of the refrigerant gas, and improves detection sensitivity and decision efficiency.

A partial ambiguity fixing method applicable to multi-frequency, multi-system RTK includes: S1: Temporal correlation subset screening. When the RTK of the previous epoch is a fixed solution, the set of fixed double-difference ambiguities of the previous epoch is obtained as the first candidate set, and matched with all double-difference ambiguities of the current epoch. The number of unmatched non-correlated satellites is recorded as the first quantity; S2: When the first quantity reaches a first threshold, the satellite with the largest continuous signal lock value is selected as the first candidate satellite to form the first expanded subset. Based on the index position of each double-difference ambiguity in the subset, the corresponding ambiguity floating-point value and its covariance matrix sub-block are extracted, and the ambiguity fixing solution equation is constructed for fixing solution calculation; S3: If there is no fixed solution in the previous epoch, a multi-index fusion iterative screening process is initiated to remove low-quality double-difference ambiguities from the candidate set; S4: Joint removal by multi-dimensional quality assessment; S5: Unified invocation of ambiguity fixing solution calculation; S6: Status information maintenance and update.

A slip arc, which comprises a rotor and a stator with open circumferences, is provided for continuous signal and power transmission during unidirectional rotation. Signal and power are transmitted via arc channels that are disposed on the base of the rotor. Continuous signal and power transmission is achieved by introducing multiple contact groups such that arc channels are connected to at least one of the contact groups at any rotation angle of the rotor. X-ray imaging components can be installed on the rotor of the slip arc to form an x-ray imaging assembly. The x-ray imaging assembly can be further used to develop an x-ray imaging device for nondestructive testing or image guidance and assessment in medical applications.

The method comprises the following steps: using a signal generation master control unit, generating a continuous signal event description word stream in real time based on an electromagnetic scene simulation description file; sending the signal event description word stream to a signal generation execution unit in sequence in a frame as a minimum unit; using the signal generation execution unit, performing frame-by-frame analysis on the signal event description word stream received in real time, and synchronously generating a corresponding IQ signal stream; and modulating and converting the IQ signal in the IQ signal stream to generate a corresponding electromagnetic signal. The method can replace the direct transmission of traditional IQ data with a signal event description word stream, realize software and hardware decoupling and event-driven signal generation, greatly reduce transmission bandwidth and cache pressure, and support long-time and high-density electromagnetic environment simulation.

The disclosure relates to a remapping unit (100) configured to remap a time-continuous signal to one or more time-frequency space coefficients, the remapping unit comprising: a transform unit (110) configured to receive the time-continuous signal and a frequency band of interest, and configured to multiply the received time-continuous signal with a window function having a window size, the window function comprising one or more basis functions; an integrating unit (120) configured to integrate the window function with infinitesimally small increments in the window size to obtain an integral; and wherein the transform unit (110) is configured to remap the time continuous signal to one or more time frequency space coefficients based on the integral. The disclosure further relates to a receiver, an inverse remapping unit, a transmitter, systems, a repeater, methods, computer program products, and a non-transitory computer-readable storage medium.

Examples of a receiver, a controller unit (e.g., for a receiver), and related methods (e.g., for a receiver) are provided. A receiver is provided that includes a tunable sample provider configured to provide samples of an input signal using tunable sample timing, a feedback path configured to provide a feedback signal to the tunable sample provider based on a timing error, wherein the feedback path includes a loop filter configured to provide sample timing information to the tunable sample provider, and a replacement value provider configured to provide replacement sample timing information that replaces the sample timing information provided by the feedback path when the input signal does not satisfy predetermined requirements for feedback-based sample timing adjustment, wherein the replacement value provider is configured to provide the replacement sample timing information taking into account timing error information or a quantity derived from the timing error information over a longer period of time than a period of time taken into account by the loop filter for providing the sample timing information.

This invention relates to the field of intelligent decision-making technology, and discloses a multimodal sleep apnea detection method, device, equipment, and medium. The method includes: acquiring radar signals and the target user's blood oxygenation signal and sleep posture signal; fusing the radar signal, blood oxygenation signal, and sleep posture signal into a multimodal continuous signal; segmenting the multimodal continuous signal window to obtain signal segments; extracting multimodal physiological fusion features from the signal segments; classifying the signal segments into respiratory event types based on the multimodal physiological fusion features; applying rule constraints to correct the respiratory event types to obtain corrected respiratory event types; and using the corrected respiratory event types as the sleep apnea detection result. By classifying the signal segments into respiratory event types, the objectivity and accuracy of the detection results are improved; and by applying rule constraints to correct the respiratory event types, the detection results are made more in line with clinical standards, improving the reliability and practicality of the results.

This invention discloses a low-level logic architecture for AI chips based on continuous proportional spectral computation. It abandons traditional binary 0 / 1 discrete computation and adopts the [0,1] continuous proportional range as the basic computational unit. Through core computational rules such as proportional superposition, proportional enhancement, proportional suppression, and proportional thresholding, a novel continuous logic computation system is constructed. This invention eliminates the loss of binary discretization from the bottom layer, achieves native processing of continuous signals, reduces computational levels and chip power consumption, and improves the generalization, interpretability, and decision quality of AI systems. It can be widely applied to AI large-scale model inference, edge intelligent devices, and multimodal data fusion scenarios.

The invention relates to a method for temperature sensor correction for a motor vehicle, comprising the following process steps. In a first process step, an input signal from a temperature sensor is acquired. In a second process step, the input signal is derived twice, whereby a first derivative and a second derivative of the temperature sensor's input signal are formed, the input signal being a continuous input signal. In a third process step, an offset signal is calculated based on the derived temperature sensor input signal. In a fourth process step, the offset signal is smoothed using at least one filter. In a fifth process step, the offset signal is added to the temperature sensor's input signal, thereby generating a corrected input signal.

The present invention relates to a hybrid wired / wireless lighting dimming control system using a set / reset latch method, and more specifically, to a hybrid wired / wireless lighting dimming control system using a set / reset latch method that significantly improves the stability and reliability of lighting control independently of the communication status by introducing a method of commanding the lighting state with a single pulse signal and permanently fixing (latching) the corresponding state within the control device to solve the lighting instability and flickering problems that occur in the event of communication failures in conventional continuous signal control methods. Through this, unlike conventional technology which relied on continuous control signals and caused the lighting to become unstable or flicker upon communication interruption, the dimming control command is transmitted as a single pulse signal, and the state is permanently latched and maintained within the dimming controller. As a result, even if the communication connection between the transmitter and receiver is temporarily interrupted, the lighting can stably maintain the last commanded brightness level or ON / OFF state.

The application belongs to the technical field of unmanned vehicle attitude fault tolerance, mechanical arm dynamic obstacle avoidance and automatic driving limit regression, and particularly relates to a robust active safety control method, device and medium for a nonlinear system, which can solve the problems of infeasible initial state and non-smooth mutation of constraint boundary faced by a high-order nonlinear system, and proposes a robust active safety control method. The method aims to solve the control singularity and the shaking problem caused by constraint mutation when the initial value exceeds the limit in the prior art. By constructing an autonomous recovery mechanism based on a time-varying virtual parameter, the singularity is eliminated by using dynamic buffering, the system is guided to smoothly converge to a safe envelope from a violation area, a differentiable constraint smoothing transition mechanism is introduced to convert a step constraint into a continuous signal, and the actuator shaking is effectively inhibited, and a recursive feasibility framework of cascaded dynamics is established to prevent the divergence of internal states.

The application provides a pseudo-range measurement system based on resource pool architecture signal processing and relates to the technical field of satellite navigation and positioning.The application adopts a general architecture of "front-end sampling+intermediate switching network+back-end processing": the front end carries out digital sampling on analog signals at fixed time intervals and marks time stamps, so that framing data is formed and transmitted to the back end through the switching network; the back end realizes sub-nanosecond pseudo-range measurement through the cooperative processing of a fast acquisition module and a tracking and ranging module. The application significantly improves the flexibility and expansibility of the pseudo-range measurement system, takes into account the high-precision and high-real-time requirements, and is suitable for large-scale multi-frequency signal processing scenarios of navigation ground operation and control systems. The core innovations include a time stamp driven timing alignment mechanism, a burst signal buffer matching algorithm, a fast acquisition module and a tracking and ranging module data processing method, and a continuous signal second-level observation time alignment method, which provide key technical support for the ground facility construction of the next generation of navigation systems.

The application discloses a kind of amplitude and phase high-precision estimation method and device suitable for fast dynamic change signal, the method of the application includes the discrete signal sequence of continuous signal sampling, constructs Hankel matrix and decomposes left singular matrix U, diagonal matrix D, right singular matrix V;The estimated value of the number of frequency components p is estimated by D, combined with extracting the subspace of right singular matrix V and using least square method to obtain diagonal matrix Q;The damping coefficient of frequency component is calculated by Q and constructs system matrix A;The dynamic phasor coefficient vector S is calculated by A and discrete signal sequence using least square method;The amplitude and phase of continuous signal are calculated by S and damping coefficient.The application aims at solving the problem that the main lobe overlap of dense harmonic / interharmonic with small frequency interval in power system causes spectral leakage interference, extremely serious even can submerge part of main spectrum line, and then lead to the accuracy of spectral leakage affecting the amplitude and phase estimation of dynamic change signal.

This invention provides a capacitive sensor detection circuit that converts the output signal, which responds to changes in capacitance, into a continuous signal over time. [Solution] A capacitive sensor detection circuit 20 used in a sensor element 10 comprising a movable electrode 100 that is displaced, a first electrode 121 that outputs a signal corresponding to the change in a first capacitance Cs1 that changes due to the displacement of the movable electrode 100, and a second electrode 122 that outputs a signal corresponding to the change in a second capacitance Cs2 that changes due to the displacement of the movable electrode 100, includes a control unit 70 that acquires a first input signal Vin1 and a second input signal Vin2, and outputs a signal to a first capacitor 61 and a second capacitor 62 that has a feedback amplitude Vcnt that brings the amplitudes of the first input signal Vin1 and the second input signal Vin2, whose frequency and phase correspond to the frequency and phase of the modulated signal S, close to zero, and whose frequency corresponds to the frequency of the modulated signal and whose phase is inverse to the phase of the modulated signal.

One aspect of this disclosure relates to a terminal comprising: a control unit that applies waveform transformation processing when a waveform transformation-related function or model is activated; and a transmission unit that transmits an uplink signal based on a complex-valued or time-continuous signal that has been shifted, scaled, or clipped via the waveform transformation processing. According to one aspect of this disclosure, waveform transformation based on Artificial Intelligence (AI) technology can be suitably implemented.

A multi-class motor imagery brain-computer interface decoding method combining EEGNet and FBCSP includes: 1) segmenting the continuous EEG signals of the subject into single-test signals and using filter banks for sub-band filtering; 2) using the training data of all subjects to perform transfer learning training on EEGNet, and classifying the test data to obtain classification scores for all tasks; 3) based on the OVO strategy, training the test subjects' training data on FBCSP to obtain spatial filters for each sub-band and each pair of tasks, concatenating the training and test feature signals of all sub-bands for each pair of tasks after spatial filtering, using the former to train an SVM to classify the latter to obtain classification scores for each pair of tasks, and summing all scores for each task; 4) standardizing the score vectors obtained from EEGNet and FBCSP and summing them, with the maximum value corresponding to the task as the test signal label. This invention can improve the classification accuracy of BCI and promote its practical application.

The present application relates to the technical field of electromagnetic compatibility monitoring and transient electromagnetic interference detection, in particular to a static discharge transient signal detection method and device based on software radio, comprising: collecting and digitizing and buffering static discharge transient signals, pre-processing the collected continuous signals, waveform window intercepting and standardizing the burst signals meeting the conditions, sending the standardized data into a double-branch recognition model for recognition processing, splicing the feature vectors of the two branches, and completing signal recognition after processing by a fusion discrimination layer, compared with the prior art, the method can effectively improve the distinguishing ability of ESD signals and interference signals, has high recognition accuracy and good engineering application value.

This invention discloses a continuous signal processing method, system, and storage medium suitable for satellite communication. The method acquires a continuously received signal; performs coarse frequency offset estimation and compensation on the continuously received signal to obtain a frequency offset compensated signal; performs symbol timing recovery on the frequency offset compensated signal to obtain an optimal sampling sequence; performs modulation identification on the optimal sampling sequence to determine the modulation type of the optimal sampling sequence; combines the modulation type to perform fine frequency offset and carrier phase estimation compensation on the optimal sampling sequence to obtain a phase compensated sequence; performs multi-path candidate phase rotation and channel decoding decision on the phase compensated sequence, eliminates phase ambiguity using decoding convergence features, and obtains decoded data; and filters the decoded data based on a preset frame boundary flag to output valid service data. This invention can reduce physical layer frame structure overhead and improve spectrum utilization efficiency and link carrying capacity.

The application belongs to the technical field of signal processing and quality evaluation, and provides a self-adaptive multi-dimensional continuous signal quality monitoring method and system, which comprises the following steps: loading processing parameters matched with the current input continuous signal in a signal characteristic archive, combining the processing parameters to perform multi-stage cascaded signal processing on the current input continuous signal to obtain a preprocessed signal; performing multi-dimensional calculation on the preprocessed signal to obtain multi-dimensional quality indexes; loading weight coefficients corresponding to the multi-dimensional quality indexes in the signal characteristic archive and calculating a comprehensive quality score; performing independent judgment on each of the multi-dimensional quality indexes based on a preset strategy to obtain a point-by-point quality mask; and evaluating the quality of the current input signal according to the comprehensive quality score and the point-by-point quality mask. The application has good universality, strong multi-type noise processing capability, consistent evaluation standard and sufficient self-adaptive capability.

This invention relates to the field of audio processing technology and provides a method and system for individualized noise reduction in Bluetooth headsets. The method includes: acquiring raw time-domain noise signals from outside the headset via an external microphone and error signals from inside the headset via an internal microphone; performing frame-by-frame preprocessing on the raw time-domain noise signals to obtain continuous signal frames; decomposing each signal frame into noise components and their time-domain signals with different time-frequency characteristics; generating corresponding anti-noise signals based on multiple noise components and the error signals; calculating the mixing weights corresponding to each noise component based on the error signals and the time-domain signals; and weighting and synthesizing the anti-noise signals corresponding to multiple noise components into an inverted acoustic wave signal. Through refined processing of external and internal noise signals, the effectiveness and adaptability of noise reduction technology can be significantly improved.