Explore MATLAB source code curated for "信号" with clean implementations, documentation, and examples.
MATLAB simulation of channel coding implementation, featuring improved bit error rate characteristics through enhanced encoding/decoding algorithms, with complete signal processing chain: signal generation → outer encoding → inner encoding → channel transmission → inner decoding → outer decoding
MATLAB implementation of TDOA (Time Difference of Arrival) for signal time delay estimation, featuring concise code structure, experimentally verified performance, and detailed algorithm analysis including cross-correlation computation and peak detection methods.
Calculate power spectral density for two signals using spectral correlation coefficients to determine frequency point inclusion in superposition calculations, enabling quality control of PSD results through spectral similarity analysis.
Multiscale one-dimensional wavelet decomposition for signal analysis, with customizable wavelet bases that can be substituted according to application requirements. This implementation supports flexible parameter configuration for different decomposition levels and wavelet families.
MATLAB Implementation of Frequency Domain-Based Signal Double Integration for Converting Acceleration Signals to Displacement Signals
Two MATLAB reference programs demonstrating signal resampling techniques for converting signals between different sampling frequencies, featuring linear interpolation and nearest-neighbor interpolation methods with implementation details.
Ambiguity function plotting software designed for visualizing ambiguity functions of various signal types with comprehensive signal simulation capabilities.
DOA estimation of signals using uniform circular arrays with azimuth and elevation angle estimation, visualized through 3D graphical representations. Includes implementation details for array signal processing algorithms and coordinate transformation methods.
The same principle applies to singularity detection in signals. Wavelet transform is widely used for singularity detection. Programmer: Wei Sha from Anhui University (ws108@ahu.edu.cn). Implementation typically involves signal decomposition, wavelet coefficient analysis, and threshold-based detection algorithms.
This toolbox implements the KSVD algorithm for adaptively achieving sparse signal representations with optimized sparsity characteristics through dictionary learning and sparse coding techniques.