Professional MATLAB source code with comprehensive documentation and examples
OS-CFAR Detector with Ordered Statistics: Includes simulations of OS-CFAR detection for noise-only signals without targets, and OS algorithm simulations for target-containing signals in Rayleigh clutter environments. Some programs focus on visualizat
FFT spectrum analysis enables effective extraction of EEG signals from different frequency bands. The extracted EEG waveforms (α, β, θ, δ) can be utilized for diagnosing neurological disorders and analyzing brain electrical activity and functional st
Generate a sinusoidal signal, add white noise to create a mixed signal, and process the white noise using a low-pass filter. Key parameters such as sine wave frequency, amplitude, noise intensity, and spectral characteristics can be configured for cu
MATLAB code implementation for computing Fourier transform of images in polar coordinate system with detailed algorithm explanation
This provides MATLAB implementation of wavelet algorithms with code examples and explanations, designed to assist fellow developers and researchers in signal processing applications.
Grid-connected inverter utilizing LCL filter for enhanced power quality and stability, with code implementation strategies for harmonic suppression and power factor correction
Detailed explanation of notch filter algorithm principles and design methodology, accompanied by MATLAB implementation. A thoroughly tested and reliable code example with comprehensive technical descriptions.
MATLAB implementation of power spectral density estimation algorithm with detailed code comments and comprehensive documentation
Classical wavelet packet decomposition with computation of frequency band energy, energy ratios, and related parameters
Implementation of Gabor filter algorithm in MATLAB featuring distinctive optimization approaches, accompanied by relevant research references and code implementation details.
MATLAB blind source separation is a highly useful tool that serves as an excellent assistant for signal separation tasks, featuring robust algorithms and built-in functions for effective implementation.
This program performs power spectral density simulation comparisons using three signal sources described in "Introduction to Modern Digital Signal Processing" Volume 1, Page 202, Exercise 5. The implementation employs three spectral estimation method
The Contourlet Transform Toolkit includes comprehensive documentation and MATLAB implementation, enabling users to perform contourlet transforms with similar workflow as wavelet transforms after integration.
Comprehensive source code for comb filter design implementation, featuring practical signal processing algorithms and filter coefficient calculation methods suitable for digital signal processing applications.
Comprehensive evaluation of DCT, SVD, LSB, and wavelet-based video watermarking techniques using MATLAB with VIPMEN test video. Implementation includes discrete cosine transform for frequency domain embedding, singular value decomposition for matrix
Performing a three-level wavelet decomposition of signal f(x) to obtain wavelet coefficients d1, d2, d3 and approximation coefficient a3, then calculating energy distribution across frequency bands (energy = sum of squared wavelet coefficients) - a p
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 rec
A MATLAB conversion utility for MIT-BIH ECG database format, enabling direct data processing and analysis in MATLAB environment through structured data transformation
Simulation of stepped frequency continuous wave signal compression, featuring detailed analysis of signal model characteristics and implementation algorithms.
SAR imaging backprojection algorithm for clear radar imaging of point targets with MATLAB code implementation details