8 results about "Power line interference" patented technology

The invention relates to a power line interference signal identification method and device and electronic equipment, and the method comprises the steps: firstly obtaining the peak position feature of a to-be-identified power line communication signal, then determining the fading signal type of the power line communication signal based on the peak position feature, and when the fading signal type of the power line communication signal is an interference fading signal, identifying the power line interference signal. The method comprises the following steps: acquiring peak joint characteristics, determining the interference probability of an interference signal at each peak position in a power line communication signal based on the peak joint characteristics, and finally determining the peak position of the interference signal in the power line communication signal according to the interference probability. According to the invention, through cooperative work of the classification model and the positioning model, a serial processing flow of first classification and second positioning is adopted, so that a pure fading signal and a fading signal of a superimposed interference signal can be accurately distinguished, and a frequency point of the interference signal is accurately positioned; the method has the advantages of realizing high-precision identification of interference signals and frequency point positioning in a power line fading channel.

The invention discloses a power line PLC communication adaptive optimization method based on a multi-carrier signal, and relates to the technical field of power line communication optimization, and the method comprises the steps: carrying out fusion alignment processing on an adaptive candidate frequency band set and a power line interference mean value spectrum, generating an interference constraint frequency band vector set, carrying out interference sensing clustering, and generating a clustering optimal carrier group set; executing a dynamic link analysis operation on the path optimization guide set, dynamically constructing a wireless networking forwarding path, and outputting a multi-carrier networking diagram in combination with optimal carrier distribution information matched with each hop link; and extracting a carrier distribution result, link state characteristics and interference association information from the multi-carrier networking diagram, and generating a multi-carrier modulation control parameter set. By constructing the scheduling priority graph based on the signal-to-noise ratio and the interference condition and combining the frequency domain sparsity rule, the adaptive candidate frequency band set is screened out, and efficient screening and utilization of spectrum resources in the interference environment are achieved.

A system for shielding components used to detect neuromuscular signals is disclosed. The system includes a circuit board that includes a bottom surface coupled with a neuromuscular sensor, a top surface, positioned opposite the bottom surface, coupled with at least one analog component for processing neuromuscular signals detected by the neuromuscular sensor. The first side surface disposed between the top and bottom surfaces, and a second side surface, positioned opposite the first side surface, disposed between the top and bottom surfaces. The system further includes an electromagnetic (EM) shield that is shaped to surround (i) at least part of the first side surface of the circuit board, (ii) at least part of the second side surface of the circuit board, and (iii) the at least one analog component, the EM shield being configured to mitigate power line interference present in the neuromuscular signals.

The application belongs to the technical field of medical signal processing, and in particular to a method for detecting coronary heart disease based on time-frequency fusion of heart sound and electrocardiogram, comprising the following steps: S1: data preprocessing of PCG and ECG original signals, including noise reduction, baseline drift elimination, power line interference elimination, etc., and normalization processing of the PCG and ECG signals, generation of power spectrum signals of heart sound and electrocardiogram by using the Welch method, and segmentation of the time domain signals and power spectrum signals of PCG and ECG into equal-length segments. In order to effectively solve the problem of inaccurate diagnosis caused by poor quality of single-mode data, a heart sound and electrocardiogram dynamic fusion module is constructed based on the time-frequency fusion results of the two signals, dynamic weight distribution is performed, and a suitable classifier is selected for classification, the frequency domain information is supplemented, and the weights are distributed according to the contributions of the heart sound and electrocardiogram signals, so that the detection and classification results of coronary heart disease are more accurate.

The invention belongs to the technical field of medical signal processing, and particularly relates to a coronary heart disease detection system for heart sound and electrocardio correlation analysis, which can perform data preprocessing, including noise reduction, baseline drift elimination, power line interference and the like, on PCG and ECG original signals, perform normalization processing on the PCG and ECG signals, and improve the accuracy of data processing. Performing wavelet transform on the processed heart sound and electrocardiosignals to generate a two-dimensional time-frequency image, performing feature extraction on the processed signals and the time-frequency image by using a 1D CNN and a 1D CNN, performing feature splicing on 1D CNN features and 2D CNN features in the same mode through global pooling, generating fusion features with discriminant lines by using a discriminant correlation analysis method, and performing feature fusion on the fusion features with discriminant lines. Performing multi-classification on the diseases through a support vector machine; in order to effectively utilize the correlation between different modal signals, a discriminant correlation analysis method is adopted to maximize the correlation between modal features, eliminate the inter-class correlation and retain the intra-class correlation, the inter-modal correlation features are enhanced, and multi-classification of the coronary heart disease is realized.

A system for shielding components used to detect neuromuscular signals is disclosed. The system includes a circuit board that includes a bottom surface coupled with a neuromuscular sensor, a top surface, positioned opposite the bottom surface, coupled with at least one analog component for processing neuromuscular signals detected by the neuromuscular sensor. The first side surface disposed between the top and bottom surfaces, and a second side surface, positioned opposite the first side surface, disposed between the top and bottom surfaces. The system further includes an electromagnetic (EM) shield that is shaped to surround (i) at least part of the first side surface of the circuit board, (ii) at least part of the second side surface of the circuit board, and (iii) the at least one analog component, the EM shield being configured to mitigate power line interference present in the neuromuscular signals.

This invention discloses a method and system for identifying and suppressing narrowband power line interference, belonging to the field of power line carrier communication technology. The method includes: segmenting the power line signal output by an ADC; performing time-frequency transformation on each segment; converting the amplitude of the frequency domain signal to obtain converted data and differential data; performing dual judgment to obtain multiple narrowband interference prediction frequency points; calculating the correlation ratio for each of the multiple narrowband interference prediction frequency points; identifying the narrowband interference prediction frequency point corresponding to the maximum correlation ratio as the narrowband interference frequency point when the maximum correlation ratio exceeds a correlation ratio threshold; performing single-frequency suppression on the power line signal based on the narrowband interference frequency point to obtain a suppressed power line signal; iteratively performing the above steps on the suppressed power line signal to obtain the final suppressed power line signal. This method and system solve the problems of signal distortion, high bit error rate, and decreased stability caused by narrowband interference to the transmission system, improving the reliability of the transmission system.

The application provides a kind of HPLC communication module fault information detection method and system, it is related to data processing technical field, the method includes: step 1, through main transmission channel and redundant transmission channel acquisition power line carrier signal physical layer dynamic parameter, including carrier signal attenuation, noise interference spectral density, instantaneous error rate and channel impedance anomaly identification;Step 2, the physical layer dynamic parameter is decoupled to multidimensional fault feature, and generates quantized fault feature set;Step 3, based on quantized fault feature set, according to signal attenuation gradient distribution and noise energy space correlation, dynamically divide interference scope range.The application accurately identifies and targets the treatment of complex power line interference, effectively improves the reliability and communication quality of HPLC communication module.