Image Preprocessing - Image Denoising Filters
Image Preprocessing - Denoising Filters - MATLAB Implementation with Detailed Code Examples and Algorithm Explanations
Design and Simulation of Sidelobe Suppression Filters Using Second-Order Cone Programming
Design and simulation of sidelobe suppression filters based on second-order cone programming, incorporating m-sequence generation, mismatch filter design, and consideration of gain processing loss. Includes MATLAB implementation examples for algorithmic optimization.
Butterworth and Chebyshev Filters
Implementation of Butterworth and Chebyshev bandpass filters for audio processing, featuring input/output WAV file handling with 300-3300Hz frequency retention, widely applicable in audio filtering applications with MATLAB/Python code examples
Maximum Correlated Kurtosis Deconvolution (MCKD)
Maximum Correlated Kurtosis Deconvolution (MCKD) is a method for designing filters to extract impact components under noisy background conditions.
Fast Computation of Tower Spectral Kurtosis Map for 1D Signals
Rapidly compute the tower spectral kurtosis map for 1D signals and identify the maximum spectral kurtosis interval, facilitating determination of optimal filter center frequency and bandwidth for enhanced signal analysis.
Digital Signal Processing Simulation System
Implementation of a comprehensive digital signal processing simulation system featuring: a GUI for generating and selecting various digital signals (sine, square, triangular waves, speech, noise, and their combinations); DFT and DCT transformation capabilities; customizable filter designs for low-pass, high-pass, and band-pass filtering with output signal analysis in both frequency domain and time series
Kalman Filter Signal Sampling for Object Motion Trajectory with Random Acceleration
Signal sampling, filtering, and estimation for object motion trajectories with random acceleration using Kalman filter technology, including algorithm implementation and key function descriptions to enhance motion tracking accuracy.
Speech Feature Extraction Using Gammatone Filters
GFCC (Gammatone Frequency Cepstral Coefficients) employs gammatone filterbanks for speech feature extraction, implementing auditory-inspired frequency analysis through optimized filter design and spectral processing.
MATLAB Implementation of Various Filter Algorithms with Code Examples
Original source code implementations of multiple filter types including LMS, RLS, Wiener, Kalman, and Median filters, featuring algorithm explanations and key function descriptions
Signal Spectrum Analysis
A comprehensive collection of MATLAB .m files developed over extensive period, covering signal simulation, spectral analysis, and various filter implementations with detailed algorithm explanations.