Input_filter

Simulation of BPSK modulation

说明：  基于优化算法的bp神经网络，用于解决分类问题，可以给大家提供两种编程思路，亲测有效。(BP neural network based on optimization algorithm, used to solve classification problems, can provide you with two programming ideas)

face recognition with lda+pca

基于灰色理论的粒子群优化算法，在matlab7上进行了试用(Based on Grey Theory PSO, a trial on the matlab7)

关于系统和信号的处理方面关系的重要应用之类的(On the system and signal processing aspects of the relations of important applications like)

estimation of channel

K means implementation

说明：  扩展卡尔曼滤波程序，直接运行，本程序为 衰减记忆卡尔曼滤波再目标跟踪中的应用 这一论文的复现，百度即可。(The extended Kalman filter program is directly run. This program is used for attenuating memory Kalman filter and then target tracking.)

BP算法例子：用一个五层的神经网络去逼近函数(example_bpnetronetwork_5layers)

face recognition program using eigenface approach and euclidean distance method.