Professional MATLAB source code with comprehensive 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.
A MATLAB wavelet analysis program for bearing fault vibration signals, capable of extracting fault characteristic frequencies using multi-resolution analysis and time-frequency decomposition techniques.
Implementation of fan-beam filtered back projection reconstruction algorithm using MATLAB for 3D medical imaging
A comprehensive implementation of the full EMD decomposition process, featuring Hilbert spectrum and marginal spectrum generation. The provided MATLAB source code is ready-to-use by direct copy-paste into the MATLAB environment, offering complete alg
Knowledge-Based Constant False Alarm Rate Detection - KB-CFAR Detector: Includes simulations for KB-CFAR detection on target-free signals with pure noise, and KB algorithm simulations for target-containing signals in Rayleigh clutter backgrounds. Som
Designed for extracting specific frequency signals using harmonic wavelets, with additional applications in filtering, noise reduction, and spectral analysis.
MATLAB implementation of 2D dyadic wavelet transform with code examples and algorithm explanation
Compute key electromyography signal parameters including integrated EMG (iEMG), root mean square (RMS), median frequency, and mean power frequency with corresponding algorithm implementations
Simulation design of a three-level hysteresis active power filter (APF), including harmonic detection and current tracking components with Z-domain analysis
1. FFT Analysis of Binary Images - Implementation with MATLAB's fft2 function for spectral analysis. 2. Display frequency spectrum with zero-frequency component shifted to center using fftshift. 3. Matrix padding comparison using padarray function to
Research on time-frequency characteristics of time series including Fourier transform and inverse transform, fast Mellin transform and inverse transform, short-time discrete Fourier transform for instantaneous frequency extraction. Implementation of
EMD Empirical Mode Decomposition is a signal processing technique commonly used with Hilbert-Huang Transform for signal feature extraction and noise reduction applications. The implementation involves iterative sifting processes to extract Intrinsic
MATLAB source code for designing FIR digital filters with four window functions (Hanning, Hamming, Blackman, Kaiser), including algorithm explanations and implementation details
This MATLAB-developed adaptive filter file serves as an excellent reference for students studying modern signal processing!
Multiscale Permutation Entropy Algorithm with Code Implementation Details
Matched filter design in radar signal processing achieves maximum signal-to-noise ratio output through impulse response optimization and correlation-based signal detection algorithms.
Digital Signal Processing LMS (Least Mean Squares) algorithm processes the error between input signal and reference signal, displaying convergence characteristics with implementation insights
This document reports on radar systems implementing pulse compression through matched filtering with a sampling frequency of fs=420MHz, simulating radar echoes, and plotting pulse compression waveforms before and after Hamming window application. Add
MATLAB toolbox library functions implementation for multiwavelet transformation with signal processing applications
Implementation of DVB-T standard components including inner interleaving, inner coding, convolutional interleaving, and radix-4 FFT 1024 point computation. All algorithms are implemented in MATLAB with special emphasis on efficient FFT twiddle factor