fft_matlab

matlab的一些应用性文章(some application articles about matlab)

STATISTICAL SIGNAL PROCESSING Homework and their Solutions too.

基于matlab实现ldpc码的编解码和性能分析(Encoding and decoding and performance analysis of LDPC codes based on MATLAB)

cutoff frequency for cylindrical wave guide

The Haar transform can be expressed in the matrix form as T = HIHT (inverse transform HTTH) where I is an NxN image matrix, H is an NxN transformation matrix and T is the resulting NxN transform. For Haar transform, the transformation matrix H contains the Haar basis functions hk(x). They are defined on a continuous, closed interval, x -[0, 1] for k = 0,1,2 ...,N -1 where N = 2n.( The Haar transform can be expressed in the matrix form as T = HIHT (inverse transform HTTH) where I is an NxN image matrix, H is an NxN transformation matrix and T is the resulting NxN transform. For Haar transform, the transformation matrix H contains the Haar basis functions hk(x). They are defined on a continuous, closed interval, x-[0, 1] for k = 0,1,2 ...,N-1 where N = 2n.)

根据混合粒子群算法原理，在MATLAB中编程实现基于粒子群算法的TSP搜索算法，给出了适应度函数，粒子初始化，交叉操作，变异操作，最后给出了仿真结果。有图可以看出，混合粒子群算法能够较快找到连接各个城市的最优路径，谢谢，希望能够给大家带来帮助。(According to the principle of hybrid particle swarm algorithm, programmed in MATLAB Based on Particle Swarm TSP search algorithm given fitness function, particle initialization, crossover and mutation operation. Finally, the simulation results. There can be seen, hybrid particle swarm algorithm can quickly find the optimal path to connect each city, thank you, hope to be able to give us help.)

图像处理 直方均衡等 最完整版本 包括VC++及其matlab实现 而且根据代码可以直接用matlab进行GUI界面编程(Image processing, such as straight balanced side including the most complete version of VC++ and matlab code to achieve and can be directly used in accordance with matlab interface to GUI programming)

说明：  和数字信号处理有关的MATLAB程序，应该会大家有用的(And digital signal processing the MATLAB program, we should be useful)

Allan方差的源代码，可计算Allan方差(Allan variance)

给一个受污染的声音文件用滤波器用matlab消除噪声(Give a contaminated audio files using filter to remove noise)