4 results about "Distortion free" patented technology

The application relates to a design method of a robust vector array differential beamformer, belonging to the field of sound signal processing, which comprises the following steps: setting system working parameters; transmitting a detection signal; judging whether a target signal is detected; receiving and preprocessing array signals; reconstructing full-array steering vectors by using Kronecker product operation; selecting an ideal differential beam pattern form, setting target direction distortionless response constraints and non-target direction response constraints; decoupling the system total weight vector into the Kronecker product form of spatial weight and channel weight by using the Kronecker product property, taking the white noise gain maximization as an objective criterion, and solving the optimal channel weight; constructing a weight approximation model based on the Maclaurin series expansion, solving the optimal spatial weight by using the least square method, synthesizing the system total weight vector, and realizing the design of a differential beamformer of any order. The application can significantly improve the robustness of the differential beamformer and effectively suppress spatial white noise.

This invention claims protection for a mixed-frequency time-difference amplification flow measurement method based on an improved ultrasonic time-difference method, belonging to the field of ultrasonic fluid velocity measurement technology. Addressing the problem of insufficient time-difference resolution in low-frequency ultrasonic flow measurement, this invention constructs a flow measurement architecture that deeply coordinates fiber optic sensing and heterodyne mixing: 1) An interferometric fiber optic sensor is used to acquire upstream and downstream ultrasonic signals, whose high signal-to-noise ratio and phase fidelity provide a distortion-free signal basis for subsequent time-difference amplification; 2) The two signals are digitally mixed with a reference signal and low-pass filtered. Utilizing the complete phase information retained by the fiber optic sensor, the microsecond-level original time difference is losslessly converted into a significantly amplified apparent time difference on the difference frequency signal; 3) The apparent time difference is extracted by cross-correlation and then the amplification factor is used to inversely deduce the actual propagation time difference; 4) The flow velocity and flow rate are calculated. In this invention, fiber optic sensing ensures the measurability and phase accuracy of weak low-frequency signals, while heterodyne mixing breaks through the traditional time-domain resolution limit. The two complement each other and work synergistically to significantly improve the accuracy and stability of flow measurement under complex river conditions.

This invention discloses an online intelligent detection and early warning system for metal processing quality based on AI vision, specifically relating to the field of metal processing quality inspection. The system employs a distributed industrial camera and intelligent light source in its image acquisition module, combined with FPGA synchronous control, to ensure clear and distortion-free images on high-speed production lines. The data preprocessing module enhances image quality through adaptive median filtering, distortion correction, and GPU acceleration. The AI ​​vision detection module accurately outputs defect locations, bounding boxes, and confidence scores based on an improved YOLOv3 model. The defect classification module uses a CNN-Transformer dual-branch network to determine five types of defects: cracks, scratches, dents, dimensional deviations, and surface deposits, and integrates dual-reset confidence verification. The early warning response module triggers graded audible and visual alarms and notifications based on defect levels, and coordinates with the PLC to execute shutdowns, marking and diverting processes, or continuous monitoring, achieving closed-loop management of "detection-classification-disposal."

This application provides a sound perception and localization method for humanoid robots, relating to the field of robotics. It constructs a basic three-dimensional sampling array by scientifically arranging four microphones, employing high-precision omnidirectional condenser microphones to achieve distortion-free acquisition of environmental sound signals. Simultaneously, it outputs raw sound signal data, precise sound pressure amplitude data, and related identification information. The raw sound signal is preprocessed using A-weighted sound levels that conform to human hearing characteristics, while filtering out DC components and high-frequency interference noise to output a human-like sound signal. Then, based on the theory of pulsating spherical source radiation sound field and a point source approximation model, combined with the human-like sound pressure data acquired by the microphone array and preset coordinates, the three-dimensional spatial coordinates of the sound source are accurately calculated. Multiple sound source coordinate results are obtained through multi-microphone array combination calculations, thereby achieving accurate judgment and high-precision localization of the environmental sound source and its location.