LDPC_pr

说明：  经典卡尔曼滤波器代码。对初学者十分有帮助。(Classic kalman filter code, for beginners introduction is very helpful.)

改进型的MUSIC算，该算法主要用于阵列的DOA估计(modified music method)

MATLAB codes for blind forgery systems

利用该源码程序可在归一化频率轴上绘出归一化的功率谱曲线。(Use of the source program can be in the normalized frequency axis mapping normalized power spectral curve.)

对雷达多脉冲回波进行匹配滤波处理后，再进行相参积累，提高检测信噪比(Coherent matched filter radar multi-pulse echo, to improve the detection signal to noise ratio)

对不理想环境下信号DOA（求根MUSIC算法）的性能仿真分析。并分析其与ＭＵＳＩＣ算法的优越之处。(The signal is not an ideal environment for DOA (Roots MUSIC algorithm) of the performance simulation. And its relationship with the strength of MUSIC algorithm.)

基于matlab 的动态阈值 的白平衡算法，实现分区处理；(Dynamic threshold of the white balance algorithm based on matlab)

Simulate MIMO system with BER and capacity

基于粒子群优化的无线MESH网信道分配算法通用MATLAB源码，本算法基于冲突图的粒子群优化算法而来。(Particle Swarm Optimization for Wireless MESH Network Channel Assignment General MATLAB source code, the algorithm is based on the conflict graph from PSO.)

In numerical linear algebra, the Gauss–Seidel method, also known as the Liebmann method or the method of successive displacement, is an iterative method used to solve a linear system of equations. It is named after the German mathematicians Carl Friedrich Gauss and Philipp Ludwig von Seidel, and is similar to the Jacobi method. Though it can be applied to any matrix with non-zero elements on the diagonals, convergence is only guaranteed if the matrix is either diagonally dominant, or symmetric and positive definite.