Explore MATLAB source code curated for "信号处理" with clean implementations, documentation, and examples.
This MATLAB M-file implements Wiener filtering primarily for signal and image processing applications, featuring two practical implementation examples with code-level demonstrations of noise reduction and enhancement techniques.
Wavelet applications in signal processing, including signal decomposition and reconstruction using wavelet transforms, along with noise thresholding techniques for signal enhancement.
This MATLAB code implements advanced adaptive beamforming and adaptive nulling techniques for signal processing applications.
This is a demonstration of cyclic spectral density in signal processing, which some literature refers to as the composite slices of cyclostationary signals.
Signal processing implementation including modulation type recognition and demodulation debugging procedures, with key algorithmic and functional enhancements.
Polyphase filtering is a fundamental technique in signal processing that enables efficient multi-rate signal processing and is widely used for applications such as audio processing, image manipulation, and communication systems.
MATLAB implementations for angle and time delay estimation algorithms in array signal processing, featuring key functions like MUSIC, ESPRIT, and generalized cross-correlation methods.
Complete MATLAB wavelet analysis source code with practical case studies, featuring chapter-by-chapter implementations from the book. Includes: wavelet toolbox usage, signal processing via wavelet transforms, applications in fault diagnosis/biomedical/image processing, wavelet matrix solutions, lifting wavelet transforms with implementations, multi-signal wavelet analysis, and VC environment integration with wavelet toolbox.
This collection contains 16 files implementing core SAR radar signal processing algorithms including FFT, range compression (CRANGE), and other essential functions. These implementations provide beginners with practical understanding of radar signal processing workflows, target information extraction methods, and algorithm application scenarios.
Implementation of beamforming algorithms for uniform circular arrays (UCA) with code optimization techniques and steering vector calculations