MATLAB Implementation of Wavelet Transform Applications
MATLAB programs based on wavelet transform applications, featuring image enhancement, image decomposition, image denoising, and image fusion with comprehensive code implementation details
Niche Particle Swarm Optimization Algorithm Programming
Implementation of niche particle swarm optimization algorithms with 20 supporting research papers covering theoretical studies and practical applications of niche PSO techniques
Application of Power Flow Calculation in Electrical Reactive Power Optimization
Implementation of power flow calculation for reactive power optimization using MATLAB programming environment, featuring detailed explanations and comprehensive source code with algorithm descriptions.
CoSaMP Algorithm: Applications in Compressed Sensing Theory
Introduction to the CoSaMP algorithm and its practical applications in compressed sensing theory with code implementation insights
Generation of OVSF Codes for WCDMA Spreading Applications
This MATLAB-based program generates OVSF (Orthogonal Variable Spreading Factor) codes used for WCDMA spreading, featuring straightforward implementation and practical utility. The implementation utilizes MATLAB's matrix operations and recursive algorithms to efficiently create orthogonal code sequences with variable spreading factors.
Simulation of Channel Coding Using Cyclic Codes
MATLAB Applications in Communication Principles: Simulation of Channel Coding with Cyclic Codes - A Practical Implementation Guide with Code Examples and Algorithm Explanations
Application of EKF Filtering in Navigation Systems
Implementation of EKF filtering for navigation applications with relatively high accuracy, including algorithm explanations and parameter optimization techniques
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.
System Identification for Second-Order Systems Using Least Squares Method
Implementation of least squares method for second-order system identification to extract damping ratio and natural frequency parameters with code-oriented algorithmic explanations
Source Code Routine Examples from "Kalman Filter Principles and Applications - MATLAB Simulation"
Source Code Routine Examples from the book "Kalman Filter Principles and Applications - MATLAB Simulation"