23 results about "Noise immunity" patented technology

This invention belongs to the field of communication technology and discloses a voice communication system based on deep ultraviolet light. The system includes: a voice communication terminal, a transmitting information processing module, an electro-optical conversion module, a transmitting optical system, a receiving optical system, a photoelectric conversion module, and a receiving information processing module. Compared with traditional radio frequency communication, ultraviolet light has excellent anti-interference and anti-interception capabilities; compared with point-to-point communication in the deep infrared band, ultraviolet light has non-line-of-sight characteristics, enabling communication even in jungle warfare. This invention uniquely employs FMCW (Frequency Modulated Continuous Wave) modulation. FMCW encodes bit information as a continuous increase or decrease in frequency. The receiving end obtains the difference frequency signal through mixing, which can be demodulated using matched filtering or Fourier transform, significantly improving processing gain and noise immunity. Even under weak scattered light conditions, signals can be reliably extracted from strong backgrounds, greatly improving communication link margin.

This application relates to a clock tree synthesis method and system for reducing the vertical coupling capacitance of the clock tree, belonging to the field of clock tree synthesis technology. The core of the method lies in the fact that, during the clock tree synthesis process in the physical design phase, by using a preset vertical design of the clock tree and a coupling-aware clock tree synthesis optimization cost function, the parasitic coupling capacitance between clock lines and adjacent signal lines in the vertical metal layer is systematically reduced, thereby improving the noise immunity of the clock network and reducing delay uncertainty and dynamic power consumption.

The useful solution refers to a pump control circuit in water tank systems or water filtration devices with water tanks, including a power supply block, a logic processing block, and an output block, arranged on a compact printed circuit board. It uses relay elements to switch the load, and also includes a power supply protection block, noise immunity, and processing logic to limit control errors when the water level signal or water request signal is fluctuating or constantly changing.

This invention belongs to the field of wireless optical communication technology, specifically a sub-Poisson multi-user photon counting communication system and its design method based on the WMSE criterion. The invention includes constructing a multi-user, multi-input, single-output photon counting communication model and introducing a sub-Poisson photon counting reception mechanism; deriving the mean square error expression for each user under sub-Poisson conditions, introducing the reciprocal of the noise variance as a weighting coefficient, and constructing a noise-aware weighted MSE optimization objective; designing a multi-user precoding scheme using a continuous convex approximation method, and minimizing the system's weighted error and optimizing performance by updating the weighting coefficients in the outer layer and optimizing the precoding matrix in the inner layer. This invention can effectively suppress the impact of heteroscedastic noise on system performance under sub-Poisson noise conditions, significantly reduce the system's average bit error rate, and improve the transmission performance and noise immunity of the multi-user photon counting communication system; it can be applied to scenarios such as UAV networks, satellite-to-ground optical communication, and secure optical transmission.

This invention discloses an adaptive anti-interference demodulation circuit, receiver, and demodulation method, belonging to the field of wireless communication technology. The invention uses a full-wave rectifier module to rectify intermediate frequency or baseband signals, and then transmits the output signal via a splitter. A noise detection module extracts the noise intensity of the rectified signal and outputs a quantized signal. A linkage control module synchronously controls an adaptive DC bias module and an adaptive hysteresis comparator module based on this noise signal, dynamically lowering the decision reference voltage to offset the DC rise caused by noise rectification, while simultaneously adaptively widening the hysteresis window to suppress interference jitter. This invention achieves synchronous and adaptive adjustment of DC bias and hysteresis width without manual calibration, can be implemented entirely in hardware, and features low power consumption, high robustness, and strong environmental adaptability, making it suitable for various wireless communication receiving scenarios requiring low power consumption and anti-interference performance.

The application discloses a kind of based on energy integration and dynamic anti-shake concentration behavior management and control method and system, it is related to mobile terminal man-machine interaction and concentration state management and control technical field.The method real-time acquisition terminal posture sensing data, maintain sliding window and extract acceleration component of vertical screen plane;When meeting posture condition, start concentration management and control, calibrate ambient noise baseline and dynamically generate anti-shake interruption threshold;During concentration state maintenance, real-time calculation deviates from the weighted energy integration of benchmark posture, and if integral is lower than threshold, maintain concentration, reach or exceed threshold, then determine effective interruption;While executing process keep-alive and bottom resource linkage control, take over screen hardware display interface and carry out screen low-power consumption regulation and control.The application can filter environmental vibration noise, effectively reduce misjudgment interruption rate, consider process stability and low power consumption, can improve the anti-interference and immersion of concentration management and control.

To improve the noise immunity of the thermal head in printers. [Solution] A printer according to one aspect of the present invention comprises a thermal head having a heating section having a plurality of heating elements arranged in a line, a drive circuit that drives the heating section to control whether or not to energize each heating element of the heating section during the energizing period based on a signal indicating the energizing period of the heating section during the printing period of one line, and a control unit that controls the drive circuit to perform a stop process to reset the drive circuit by stopping the supply of an operating voltage for operating the drive circuit for a predetermined period.

FIELD: telecommunication systems.SUBSTANCE: method for transmitting information using compressed noise-resistant ternary codes is proposed, which consists in the fact that a sequence of bits is subjected to the first stage of structural-algorithmic transformations (SAP-1), the results of which are presented in the form of a new sequence of bits, subjected to additional noise-resistant coding and randomization, then before recoding into a substitution ternary code, they are subjected to a scrambling operation, wherein the substitution ternary noise-resistant code is considered as the main ternary symbols, and the symbols represented by amplitude-pulse modulation, as duplicates, represented in the form of signals with pulse-width modulation (PWM), are converted at the second stage of modulation into phase manipulation with two opposite values of phase 0° and 180° frequencies that are used as a phase marker indicating the beginning and end of signals with a PWM signal, as a result of which the phase markers simultaneously become the carrier of the transmitted information.EFFECT: increasing the noise immunity index of transmitted information and in detecting errors.5 cl, 17 dwg

Embodiments of the present application relate to the field of microseismic monitoring, and disclose a microseismic first arrival picking method, device, equipment and storage medium. The center time point of the time window of the microseismic signal is calculated according to the propagation path of the microseismic signal and the preset layer velocity, and the length of the time window is determined according to the center time point and the preset number of time sampling points, so as to constrain the time window of the first arrival point of the microseismic signal picked by the Akaike information criterion method, and the layer velocity is constantly updated in an iterative manner, and the time window is further updated, so as to determine the best first arrival point of the microseismic signal. Compared with the traditional Akaike information criterion method, the application has better noise immunity, can avoid the "multi-peak" phenomenon of the Akaike information criterion method under the condition of low signal-to-noise ratio, and thus avoids the misjudgment of the first arrival point.

This application discloses a motor anti-interference protection circuit based on relay-based high-voltage control, relating to the field of industrial motor control technology. By connecting a 220V AC relay module to the output of the motor protector, low-voltage control is upgraded to high-voltage control, and an independently wired 220V AC current control circuit drives an AC contactor. This solution utilizes the high noise immunity of the 220V high-voltage signal and the physical isolation effect of the relay to completely solve the signal distortion problem caused by electromagnetic interference in traditional motor protection, while maintaining compatibility with the original protector's functions. It has low modification costs and is suitable for anti-interference retrofitting of industrial motor control systems.

This invention relates to the field of power distribution network fault detection technology, and particularly to a method, system, computer equipment, and medium for selecting high-resistance grounding faults in low-resistance grounding systems. The method includes: acquiring the bus zero-sequence voltage and the zero-sequence current of each feeder to obtain a set of characteristic parameters; identifying the main noise frequency band and determining the target high-frequency detection frequency band; when preset start-up conditions are met, controlling the neutral point-to-ground bypass branch to switch between at least two different impedance levels; constructing a normalized energy response sequence for each feeder to obtain the matched filter output value for each feeder; and identifying the feeder with the largest matched filter output value that meets preset significant conditions as the faulty feeder. This approach solves the technical problem of insufficient fault feature extraction accuracy in environments with strong noise interference, improving the accuracy, anti-interference capability, and adaptability to complex operating environments for selecting high-resistance grounding faults.

This invention relates to the field of voice interaction and audio stream processing technology, specifically to an audio stream control method based on voice interaction. It employs a microphone array composed of 3-6 piezoelectric pickup units to synchronously acquire user voice signals and environmental noise signals in real time. The signal amplitude is normalized to 0.1V-0.5V, and then preliminary noise reduction is performed using an adaptive interference cancellation algorithm to remove some fixed-frequency noise. This invention combines dynamic threshold configuration with adaptive noise reduction to transform environmental noise from an interference source into a signal source that cancels out interference, while simultaneously recovering noise vibration energy. This results in higher recognition accuracy and a lower false trigger rate, effectively balancing the high sensitivity and anti-interference capabilities of voice interaction, and solving the problem of a sharp drop in recognition accuracy in noisy scenes caused by fixed thresholds in existing technologies.

The invention discloses a sensor signal waveform multi-dimensional feature recognition method, which belongs to the technical field of rail transit, and comprises the following steps: acquiring an original signal of an axle counting sensor; carrying out noise reduction processing on the original signal by adopting a Kalman filtering algorithm, and outputting a filtered signal; processing and distinguishing are conducted through an amplitude distinguishing algorithm, a single-waveform symmetry distinguishing algorithm, a single-pulse curve slope distinguishing algorithm, a single-pulse curve slope distinguishing algorithm and a double-pulse waveform similarity distinguishing algorithm, if distinguishing results all meet the requirement, the pulse waveform is finally judged to be an effective pulse waveform, and if any one of the distinguishing results does not meet the requirement, the pulse waveform is judged to be an effective pulse waveform. And finally determining the pulse waveform as an invalid pulse waveform. In the output signal identification of the axle counting sensor, a method based on multi-feature identification is provided for the first time, so that the signal identification accuracy is greatly improved, and the anti-interference performance of equipment is enhanced; meanwhile, signal quality can be identified, interference signal types can be judged, and a basis is provided for signal monitoring.

The application discloses a partial discharge detection method based on multi-modal feature and multi-model ensemble learning, relates to the technical field of power equipment detection, and comprises the following steps: collecting partial discharge data; constructing a multi-modal feature data set; building a deep learning and machine learning model; building a multi-model ensemble learning framework CMELF; and predicting and evaluating results. Compared with the prior art, the method breaks through the limitation of traditional single modal feature extraction, comprehensively captures partial discharge signal features by constructing three types of complementary multi-modal feature systems, namely time-frequency images, spectrum statistics and down-sampled spectrum, avoids detection deviation caused by information loss or noise interference under a single mode, realizes adaptive fusion of multi-scale features through the designed MSA-FuseNet network, efficiently processes high-dimensional text features through the LightGBM model, and fully utilizes the prediction confidence information of each model through the confidence weighted ensemble learning framework, thereby avoiding the defects of weak generalization ability and poor anti-interference of a single model, significantly improving the generalization ability and detection precision of the model, and improving the accuracy and reliability of partial discharge detection of power grid equipment.

This invention discloses a low-power FFT chip for real-time spectrum analysis of electroencephalogram (EEG) signals and its usage method. The chip includes an analog front-end module, a digital processing module, an interface and control module, and a low-power management and clock control module. The analog front-end module amplifies, filters, performs power frequency notch filtering, and performs analog-to-digital conversion on the input microvolt-level analog EEG signals. This invention integrates a low-noise analog front-end, a dedicated digital processing module, and a fine-grained power management module into a single chip, constructing a dual anti-interference link that combines analog and digital processing. While ensuring signal purity, the digital processing module accelerates real-time processing speed, and the overall power consumption is controlled through fully custom circuitry and dynamic power management. This solves the three major problems of poor real-time performance, high power consumption, and weak noise immunity in general-purpose processor solutions for EEG spectrum analysis, thus meeting the demanding requirements of wearable devices.

This invention relates to a method, system, medium, and device for Q-value estimation based on the attenuation function integral, comprising the following steps: acquiring a reference wavelet and a received wavelet; performing calculations based on the reference wavelet and the received wavelet to obtain the reference wavelet amplitude spectrum and the received wavelet amplitude spectrum; selecting a frequency band based on the reference wavelet amplitude spectrum and the received wavelet amplitude spectrum to obtain a calculation frequency band; determining the center frequency and the attenuation function frequency based on the calculation frequency band; calculating an expression for the attenuation function with respect to the wavelet amplitude spectrum before and after attenuation based on the center frequency, the attenuation function frequency, and a seismic wave attenuation constant Q model; calculating the attenuation function integral within a given frequency band based on the expression; and calculating the formation Q-value based on the attenuation function integral. Compared to the traditional spectral ratio method, this invention avoids amplified noise interference, has higher noise immunity, and significantly enhanced stability.

The application discloses a power grid super-harmonic efficient and accurate detection method and device based on compressed sensing and LSTM reconstruction, and relates to the technical field of power system power quality monitoring and signal processing. The method comprises the following steps: constructing a power grid super-harmonic data set; preprocessing the power grid super-harmonic data set and dividing the power grid super-harmonic data set into a training set and a verification set according to a certain proportion; constructing a power grid super-harmonic sparse coefficient vector prediction model based on an LSTM network; training the model through the training set data; verifying the trained model through the verification set data; compressively sampling real-time signals of power grid voltage or current; predicting the predicted sparse coefficient at the current time; obtaining the optimal sparse coefficient through an optimization solver; restoring the original super-harmonic signal and extracting the frequency and amplitude characteristics. The application reduces the sampling rate and hardware cost, improves the reconstruction accuracy and noise immunity by using the time series prediction capability of the LSTM, and realizes efficient, accurate and real-time detection of the power grid super-harmonic.

A binary receiver combines a fast amplifier with a relatively slow amplifier for noise rejection. Both the fast and slow amplifiers employ hysteresis. The fast amplifier has relatively lower hysteresis, meaning that its sensitivity is a less effected by prior data values but more susceptible to glitch-induced errors. Conversely, the slow amplifier has relatively higher hysteresis and rejects glitches but introduces undesirable signal-propagation delays. A state machine taking input from both amplifiers allows the receiver to filter glitches without incurring a significant data-propagation delay.

The application relates to the technical field of smart homes, and discloses a smart home anti-interference human body existence detection method and system based on a 24GHz radar, which comprises the following steps: collecting intermediate frequency signals in a front space of a smart home based on a 24GHz FMCW radar front-end module integrated in the smart home, and performing filtering processing on the intermediate frequency signals; extracting a distance-velocity matrix of the filtered signals in a motion detection channel, so as to generate a motion mark in the front space through the motion detection channel and the distance-velocity matrix; outputting breathing harmonic energy in the front space through a vital sign channel; sampling a noise spectrum baseline in the front space, and converting the noise spectrum baseline into a noise interference mark through a frequency domain mutual exclusion verifier; and detecting whether a human body exists in the front space according to the motion mark, the breathing harmonic energy and the noise interference mark, so as to obtain a human body existence detection result. The application can achieve both static human body detection reliability and anti-interference performance.

The application discloses a kind of based on energy integration and dynamic anti-shake concentration behavior management and control method and system, it is related to mobile terminal man-machine interaction and concentration state management and control technical field.The method real-time acquisition terminal posture sensing data, maintain sliding window and extract acceleration component of vertical screen plane;When meeting posture condition, start concentration management and control, calibrate ambient noise baseline and dynamically generate anti-shake interruption threshold;During concentration state maintenance, real-time calculation deviates from the weighted energy integration of benchmark posture, and if integral is lower than threshold, maintain concentration, reach or exceed threshold, then determine effective interruption;While executing process keep-alive and bottom resource linkage control, take over screen hardware display interface and carry out screen low-power consumption regulation and control.The application can filter environmental vibration noise, effectively reduce misjudgment interruption rate, consider process stability and low power consumption, can improve the anti-interference and immersion of concentration management and control.