Explore MATLAB source code curated for "信号处理" with clean implementations, documentation, and examples.
MATLAB program for signal-to-noise ratio calculation, designed to analyze signal purity with beginner-friendly implementation featuring clear functions like SNR computation using power ratio methods and waveform visualization tools.
MATLAB implementation of S-transform along with multiple signal examples demonstrating its practical applications. S-transform is an advanced time-frequency analysis technique gaining traction in signal processing, seismic exploration, and speech recognition research. The code includes implementation details showing how to perform time-frequency decomposition, analyze signal characteristics, and extract meaningful features from various data types.
Wavelet denoising program using heursure threshold algorithm for signal noise reduction, featuring implementation of threshold selection and signal reconstruction functions.
ICALAB for Signal Processing Toolbox provides implementations for Blind Source Separation (BSS), Independent Component Analysis (ICA), Complex-valued ICA (cICA), Recursive ICA (ICA-R), Sparse Component Analysis (SCA), and Morphological Component Analysis (MCA)
This routine demonstrates signal processing using wavelet analysis, providing valuable learning material for understanding wavelet applications with practical code implementation examples.
Independent Component Analysis (ICA) has evolved over the past two decades as a blind source separation method. This statistical technique aims to recover statistically independent source signals from mixed signals collected by sensors, with applications spanning speech recognition, telecommunications, and biomedical signal processing. This article systematically examines ICA's development, fundamental principles, implementation approaches, and major algorithms including FastICA, with enhanced technical descriptions of computational methods and practical applications.
Adaptive array signal processing code implementations by Zhang Xiaofei (Nanjing University of Aeronautics and Astronautics), including MUSIC algorithm, ESPRIT algorithm, ROOT-MUSIC algorithm, and other essential techniques for modern signal processing applications.
A channel processing implementation for OFDM systems in signal processing applications, featuring compensation, equalization, and demodulation algorithms.
Time-Frequency Entropy, applicable in signal processing and image analysis with implementation approaches for calculating entropy in time-frequency representations
Companion programs and code examples for signal processing textbooks