Fundamental Concepts and Implementation Approaches for Homomorphic Filter Design
Basic principles and implementation strategies for homomorphic filter design in digital signal processing, including practical coding considerations
Radar Digital Signal Processing Using MATLAB
Designing classical radar digital signal processing systems using MATLAB. This system processes radar target echoes, detects targets from noise, and extracts target range, velocity, and angle information. The tutorial is organized into five sections: 1) Radar LFM Signal Analysis, 2) Pulse Compression Processing, 3) Coherent Integration Processing, 4) Constant False Alarm Rate (CFAR) Processing, and 5) Target Information Extraction. Implementation includes MATLAB code for signal generation, filtering algorithms, and parameter optimization techniques.
Multi-Rate Sampling Conversion in Digital Signal Processing
Implementation of multi-rate sampling conversion in digital signal processing using MATLAB, with corresponding design of sample rate conversion filters based on the underlying principles.
Advanced Digital Signal Processing for Graduate Students: Time-Frequency Analysis, Filter Banks, and Wavelet Transform with MATLAB Implementations
This textbook serves as an advanced course material for graduate-level digital signal processing. Organized into 13 chapters, it systematically covers three core knowledge systems in modern signal processing: time-frequency analysis, filter banks, and wavelet transforms. The content emphasizes the integration of theoretical foundations with practical applications, featuring MATLAB 6.5 implementations with 100+ code examples and data files. These programs demonstrate key algorithms and reproduce book illustrations, enabling hands-on learning through executable examples that clarify complex theoretical concepts.
IIR Butterworth Low-Pass Filter Design
Design of IIR Butterworth Low-Pass Filters - A Course Project for Digital Signal Processing Students, Featuring Algorithm Implementation and MATLAB Code Examples
Fractional Fourier Transform MATLAB Implementation
A MATLAB program implementation of Fractional Fourier Transform for direct application in digital signal processing workflows, featuring optimized algorithms for efficient computation.
Modern Digital Signal Processing MATLAB Simulations
MATLAB simulations for modern digital signal processing featuring 5 classic exercises covering LMS algorithm, RLS algorithm, SVD algorithm, and MVDR algorithm with practical implementation examples
Digital Signal Processing: Design of Various Filters
Digital Signal Processing: Design of Various Filters - Complete source code and lab reports from the junior-year course project in Electronic Information Engineering at Central South University. Features implementations of FIR/IIR filters, windowing techniques, frequency response analysis, and filter design algorithms. Available for download!
MATLAB Digital Signal Processing Toolbox
The MATLAB Digital Signal Processing Toolbox provides a comprehensive collection of signal processing functions for implementing various algorithms and applications.
MATLAB Implementation of Burg Algorithm for Digital Signal Processing
This is an efficient MATLAB implementation of the Burg algorithm for digital signal processing, featuring adjustable parameters that deliver excellent performance in spectral analysis and parameter estimation.