Data Polarization Processing Program
Modulation data polarization program that polarizes binary 0 and 1 data before modulation transmission, implementing digital signal conditioning through polarization algorithms
Construction of Girth-Twelve Column-Weight QC-LDPC Codes with Program Implementation
This program constructs quasi-cyclic low-density parity-check (QC-LDPC) codes with girth twelve and specified column weight. The code rate can be adjusted by modifying the row weight parameter (k), while the code size is controlled through the sub-matrix dimension parameter (m). The implementation involves combinatorial optimization algorithms and careful matrix construction to maintain the required girth properties.
Highly Useful Mutual Information Computation Programs
A comprehensive collection of highly practical mutual information computation programs with demonstrative examples and implementation guidelines
Element Stiffness Matrix and Mass Matrix for Planar Triangular Shell Elements
MATLAB Implementation for Calculating Element Stiffness and Mass Matrices of Planar Triangular Shell Elements with Code Implementation Details
Aircraft Climbing Simulation
A sophisticated aircraft climbing simulation program that generates various flight attitudes with comprehensive parameter outputs
MATLAB Implementation of Cholesky Decomposition Algorithm
A MATLAB program implementing Cholesky decomposition with detailed code explanations and applications in linear algebra problems
FDTD Method for Three-Dimensional Structure Computation
A MATLAB-implemented FDTD program for 3D structural analysis featuring high versatility, modular architecture, and comprehensive electromagnetic simulation capabilities
For Loop Programming in MATLAB
A basic MATLAB program demonstrating for loop implementation - essential foundation every programmer should master, featuring practical code examples and execution patterns
Signal Processing Code Implementation
Companion programs and code examples for signal processing textbooks
Probability Density Function Estimation Using Parzen Windows
Implementing probability density function estimation with Parzen windows, accompanied by simulations using easily understandable code. The implementation demonstrates how kernel functions and bandwidth parameters affect density estimation accuracy.