Radix-4 FFT Implementation in MATLAB
MATLAB implementations of radix-4 FFT algorithms featuring three distinct approaches including fixed-point and floating-point arithmetic methods
Professional MATLAB source code with comprehensive documentation and examples
MATLAB implementations of radix-4 FFT algorithms featuring three distinct approaches including fixed-point and floating-point arithmetic methods
MATLAB implementation for extracting ECG signals from the MIT-BIH arrhythmia database
System identification approach employing both full-update and partial-update variants of the Affine Projection Algorithm for adaptive filtering, featuring code implementation insights and performance optimization techniques.
MATLAB-based license plate recognition, noise removal techniques using image stacking and filtering, color image processing, and histogram equalization methods with implementation insights
The most classic frequency domain filtering algorithm in SAR filtering, known for its excellent performance in noise reduction and signal enhancement.
MATLAB routines from Chapter 6 of "Optimal Array Processing" featuring comprehensive simulations of various optimal beamforming algorithms, including implementation details and key function descriptions.
Implementation of spectral analysis techniques for random signals, including spectral estimation and quality assessment. Methods for estimating power spectral density of system responses when discrete random signals pass through linear time-invariant
Implementation of signal Kolmogorov entropy calculation using time series analysis and phase space reconstruction techniques to quantify signal complexity and predictability.
A classic small-signal stability benchmark featuring two-area, four-machine system with three oscillatory modes - originally from "Power System Stability and Control"
This program implements adaptive filtering algorithms using MATLAB, featuring dynamic parameter adjustment for optimized signal processing performance.
A comprehensive collection of MATLAB-implemented programs for common brain signal processing algorithms, featuring signal visualization techniques and practical examples for neuroscience and engineering students.
Custom-developed SNR calculation tool snr2.m with function signature: snr2(s2ana, fs, f0, fl, fh, bl, bh). Parameters: s2ana - input signal for analysis, fs - sampling frequency, f0 - fundamental signal frequency, [fl, fh] - signal energy distributio
ECG Signal Peak Detection with Algorithm Implementation Insights
SAR imaging processing extracts the 2D distribution of scattering coefficients from echo data, which is fundamentally a 2D correlation process. While the most direct approach involves 2D matched filtering, its computational intensity combined with SA
Given a signal x(t), sampling it to obtain x(n), will spectral aliasing occur? This project uses FFT to analyze its spectrum. The implementation involves: 1. Programming to plot the signal waveform; 2. Performing FFT on x(n) with N=16 and plotting th
Incorporating Hidden Components into Mid-Frequency Information for Audio Data
MATLAB program for SVD that enables noise removal operations on one-dimensional signals, featuring matrix decomposition and signal processing capabilities
Analyzing feature vectors and power spectra of frequency components for two signals through wavelet packet transform implementation
Implementing homomorphic signal filtering in the MATLAB programming environment, covering the homomorphic filtering algorithm with practical code examples and implementation details
Deconvolution and signal restoration represent theoretically challenging branches in signal processing technology. Due to their extensive applications, they remain hot research topics. Relevant research reports are scattered across various profession