Professional MATLAB source code with comprehensive documentation and examples
A MATLAB implementation of a matched filter algorithm, available for download. This code demonstrates signal correlation techniques using cross-correlation functions and template matching for applications in signal detection and target identification
This routine demonstrates signal processing using wavelet analysis, providing valuable learning material for understanding wavelet applications with practical code implementation examples.
Calculation of classical CFAR binary detection threshold for radar detection under additive white Gaussian noise criterion with specified false alarm probability, including implementation considerations for signal processing algorithms.
This example demonstrates a MATLAB implementation of Short-Time Fourier Transform (STFT) simulation, providing beginners with practical insights into STFT processing through code analysis and visualization of time-frequency representations.
Implementation of Gabor wavelet filter for texture feature extraction in image processing
MATLAB implementation of ridgelet transform for wavelet analysis, featuring image denoising, reconstruction capabilities, and accompanying research paper for reference. Includes detailed algorithm explanations and key function descriptions.
A comprehensive comparison of prevalent denoising techniques including Median Filtering, Mean Filtering, Wiener Filtering, Gaussian Filtering, and three morphological filtering approaches (standard, improved, and multi-structural element morphologica
Function Signal Generator for generating square waves, triangular waves, and sine waves with oscilloscope observation capabilities
A Fourier Transform Approach for Solving Linear Shift Register Generating Polynomials with Implementation Considerations
MATLAB implementation for generating random signals, calculating correlation functions, and estimating power spectral density with code-level explanations
A ready-to-use implementation of the 2D discrete fractional Fourier transform algorithm for digital image processing applications, featuring robust computational performance and mathematical accuracy.
MATLAB-based scrambling and descrambling simulation system enabling observation of time-domain and frequency-domain waveforms before and after signal scrambling, facilitating understanding of scrambling concepts and descrambling processes with config
MATLAB-based image compression implementation using wavelet transforms, featuring detailed explanations for each subroutine including key algorithm implementations and function descriptions.
The Mallat pyramid multi-level decomposition and reconstruction algorithm in wavelet transform is an effective method for signal denoising, involving hierarchical frequency decomposition and reconstruction processes.
1. Research on FPGA implementation of FIR digital filters (programmed using VHDL language with optimized filter architecture design) 2. Design of multi-functional microcontroller download development hardware and software (implemented using VB/VC++ a
MATLAB algorithm simulation featuring an adaptive notch filter that effectively removes single-frequency interference with adjustable frequency capability, implementing adaptive signal processing techniques with supplementary lecture materials.
Prony Algorithm Toolbox - An implementation of Prony's method which approximates equally spaced sampled data using linear combinations of exponential terms, enabling analysis of signal amplitude, phase, damping factors, and frequency components. Key
Mathematical morphology effectively removes noise from signals while preserving signal disturbance characteristics through morphological filtering operations
A comprehensive implementation featuring: 1. Universal functions for high-pass, low-pass, band-pass, and band-stop filtering 2. Multiple filter types including Ideal, Butterworth, and Exponential implementations 3. Pseudocolor processing with include
Spatial spectrum estimation algorithms analyze signal-to-noise ratio (SNR) performance with practical effectiveness in signal processing applications.