Professional MATLAB source code with comprehensive documentation and examples
Implementation of direction estimation algorithms using uniform circular arrays (UCA) with simulated power spectrum visualization. Comparative analysis with uniform linear arrays (ULA) demonstrates superior estimation performance of circular configur
MATLAB programs and technical resources for detecting phase differences through Hilbert Transform and Wavelet Transform methods, including algorithm explanations and key function implementations
Power System Toolbox (PST) is a widely-used electrical power system analysis tool that enables professionals to perform load flow calculations, transient stability analysis, small-signal analysis, and other critical power system simulations with robu
Implementation of FFT Accumulation Method (FAM) in MATLAB for advanced spectral analysis with enhanced frequency resolution through iterative FFT processing and result accumulation
MATLAB-based implementation of wavelet function construction using B-spline functions, verified through simulation for correctness. Includes parameter adjustment capabilities and detailed code documentation.
MATLAB program for computing box-counting dimension. This implementation follows the box-counting principle to calculate the fractal dimension of 1D curves. The function FractalDim(y, cellmax) takes a 1D signal as input and returns its box-counting d
The EMD Toolbox and usage methodology for Empirical Mode Decomposition (EMD) is a signal analysis technique developed by Dr. Norden E. Huang at NASA. This method decomposes signals based on their intrinsic time-scale characteristics without requiring
Least Mean Squares adaptive filter with two fundamental processes: filtering and adaptation, commonly implemented using gradient descent algorithms for coefficient updates.
Simulation of polyphase filter implementation using MATLAB programming, including algorithm design and performance testing
This MATLAB package provides wavelet analysis implementation for ECG signal processing. The zip file contains MATLAB script files (.m format) and ECG signal data files (.mat format) for comprehensive wavelet-based ECG analysis.
Estimating the frequency of a sinusoidal signal contaminated with additive white Gaussian noise via FFT involves computing the Fourier transform of x(n) to obtain the spectrum, identifying the frequency corresponding to the maximum magnitude, and cal
A comprehensive STFT example with duration 1000, sampling rate 250, demonstrating Short-Time Fourier Transform (STFT) signal processing technique for time-frequency analysis
MATLAB code for converting Radarsat2 polarimetric SAR image data into scattering matrix and coherency matrix T3, including image files extracted and saved using ENVI View software containing real and imaginary components of each channel, along with t
Gabor Wavelet Transform for facial expression recognition, generating features across 5 scales and 8 directions. This implementation references the paper "Gabor feature classification using enhanced FLD model facial recognition" and involves convolut
This MATLAB program simulates radar clutter scenarios, providing implementation examples for signal processing and environmental modeling to support radar system analysis and research.
Estimating the power spectrum of sequences using the periodogram method with a Hamming data window. The scenario involves resolving three sinusoidal signals of different frequencies embedded in white noise, where phases are independent random variabl
A custom-developed feature extraction algorithm implementing Empirical Mode Decomposition (EMD) - a method that transforms non-stationary signals into combined stationary components through adaptive signal decomposition.
MATLAB implementations of fundamental DSP functions including FFT, Chirp Z-transform, DCT, Delta Function, and Hilbert Transform with signal processing applications.
The maximum negentropy-based independent component analysis algorithm enables effective separation of mixed signals into their independent source components, with implementations typically involving optimization techniques for non-Gaussianity maximiz
Implementation of fundamental frequency extraction using autocorrelation method with center-clipping technique for signal preprocessing, providing a reference implementation approach.