6results about How to "Reduce bandwidth" patented technology

A highly efficient 5G mobile phone signal jamming system includes one 5G signal receiving link and multiple jamming transmission links. The receiving link performs polling and time-division multiplexing of downlink signals from various 5G frequency bands and GSCN frequency points. The signal receiving link receives downlink signals from airborne 5G base stations and GSCN frequency points via an antenna. After passing through filters, low-noise amplifiers, mixer downconversion, analog-to-digital conversion, and digital downconversion frequency selection, it performs PSS signal detection and determines whether the jamming transmission link should send signal interference SSB blocks. Compared with existing technologies, this invention detects whether there are PSS synchronization signals on 5G frequency bands and GSCN frequency points, and sends interference signals at the corresponding frequency and time of SSB to disrupt the UE's periodic measurement and reporting of SSB, thereby preventing the mobile phone from camping or accessing the 5G system. It greatly reduces the bandwidth and time of sending interference signals, significantly reducing the power consumption and radiation of the 5G signal jamming system.

The application discloses a direct positioning method and system based on a single-bit signal, and the method comprises the following steps: a single-bit model and a space sparse model of a received signal are established; a probability density function of a single-bit received signal in the single-bit model of the received signal is obtained according to a prior distribution of noise, a prior distribution of observation data and a Laplace prior distribution; a mean value and a variance expression of a space sparse signal and a maximum posterior probability density function of a target radiation source position are obtained; an optimal target function of a hyperparameter is obtained; the optimal target function of the hyperparameter is solved to obtain an updating expression of the hyperparameter; the updating expression of the hyperparameter and the mean value and the variance expression of the space sparse signal are alternately iterated and solved to obtain the mean value and the variance of the space sparse signal, and the space position of the target radiation source is obtained according to the mean value of the space sparse signal. The application can reduce signal transmission cost and effectively improve the positioning speed and precision of multi-target radiation sources.

This invention discloses a method and system for optimizing the aeroacoustic performance of a cooling fan system, relating to the field of data processing technology. The method includes: real-time acquisition of multi-dimensional dynamic data during the operation of the cooling fan system; construction of aerodynamic state feature vectors and identification of flow topology states; establishment of a mapping relationship between flow topology units and sound source contributions; calculation of sound source contribution weights to extract dominant sound source types; analysis of their aerodynamic excitation spectrum distribution characteristics; calculation of spectral coupling risk values ​​using acoustic modal risk channels; and finally, output of an optimized speed control strategy. This invention solves the technical problems of existing technologies, such as difficulty in adapting to complex dynamic conditions, inability to accurately identify and quantify multi-source aerodynamic noise sources in real time, and lack of dynamic monitoring of multi-physics field coupling resonance risks. It achieves the technical effects of improving the adaptive optimization capability of the fan system's aeroacoustic performance under dynamic operating conditions, significantly reducing broadband and discrete noise, and enhancing system operational reliability.

This invention discloses a vehicle violation monitoring method based on edge and cloud collaboration, comprising: real-time acquisition of video streams of a designated area via cameras; real-time reception of the video streams by an edge computing device, performing target detection on vehicles within the streams, and determining whether a preset event has been triggered based on the vehicle's status; if a preset event is triggered, capturing the corresponding video slice and uploading it to a central server; the central server performing semantic analysis on the video slices to generate a structured sequence of vehicle behavior events, matching the sequence of vehicle behavior events with preset violation rules; if a match is successful, determining that a violation has occurred, and generating an alarm message. This achieves a leap from "target detection" to "behavior understanding," facilitating traffic management.

This invention discloses a live stream image mirroring correction method, system, and medium based on multi-channel video fusion. The method includes the following steps: transmitting the original screen content of a mobile terminal as a first signal to a screen hardware device via a wired connection; transmitting the original screen content of the mobile terminal as a second signal to the screen hardware device via a wireless connection; performing horizontal mirroring processing on the received second signal; identifying and cropping a target UI area from the mirrored second signal; overlaying the cropped target UI area onto the corresponding area of ​​the wired first signal; and displaying the final synthesized image on the screen hardware device. This invention solves the technical problem of inconsistency between the displayed direction of a person's movement and the actual direction of their movement when using a rear camera in live streaming.

The present application belongs to the technical field of intelligent detection, and particularly relates to a method for fault detection and isolation of an intelligent power distribution system based on edge computing. The method is cooperatively executed by edge nodes and edge aggregation nodes, and comprises the following three steps: Step 1, data construction and graphization preprocessing on the edge node side are executed, wherein edge nodes are arranged at each segmented position of the intelligent power distribution system, and a switch state table and a controllable switch list corresponding to a graph signal frame are formed; Step 2, graph wavelet local anomaly focusing processing, BOCPD online confirmation processing and set member estimation processing are continuously executed on the edge aggregation node side to form a minimum suspicious segment set; and Step 3, isolation and power restoration control based on the minimum suspicious segment set is executed. The present application has the characteristics of high detection accuracy, fast response speed and strong fault tolerance, and can realize millisecond-level autonomous fault isolation and power restoration control under the conditions of limited communication and complex topology, thereby effectively improving the safety, reliability and recovery efficiency of the power distribution system.