第10章 判别分析

基于matlab的智能材料-记忆合金的应用，是个不错的源代码，具有一定的价值(Matlab-based smart materials- the application of shape memory alloy, is a good source code, has a certain value)

ofdm三个信道的matlab仿真代码，功能强大，能显示各个部分功能，有误码率(three-channel ofdm matlab simulation code, powerful, and can display various parts function, bit error rate)

电力电子、电机控制的仿真模型，异步电机无速度传感器控制(The simulation model of power electronics, motor control, induction motor speed sensorless control)

基于matlab编写的SCCPM、LDPC+CPM仿真，涉及到LOG-MAP算法，SOVA算法，LOG-BP算法等，全是本人自己编写性能超强。代码过长，每个都几百行，如果疑问联系我Q905432530。用着好一定要给好评！！(Based matlab prepared SCCPM LDPC+CPM simulation involves LOG-MAP algorithm, SOVA algorithm, LOG-BP algorithm, all my own preparation super performance. Code is too long, a few hundred lines each, contact me if doubt Q905432530)

通信原理实验 数字信号2ask2psk2fsk调制与解调(Communication Theory Digital Signal 2ask2psk2fsk experimental modulation and demodulation)

introduce install omnet by video

Rosenblatt感知机Matlab实现算法线性分类器的第一个迭代算法是1956年由Frank Rosenblatt提出的. 这个算法被提出后, 受到了很大的关注. 感知器在神经网络发展的历史上占据着特殊的位置: 它是第一个从算法上完整描述的神经网络. 在20世纪60年代和70年代, 受感知器的启发, 工程师, 物理学家以及数学家们纷纷投身于神经网络不同方面的研究. (Rosenblatt perceptron Matlab algorithm linear classifier, an iterative algorithm is proposed by Frank Rosenblatt in 1956. The algorithms have been proposed, there have been a lot of attention. Perceptron in the history of the development of neural network occupies a special Location: It is the first complete description of the algorithm neural network in the 1960s and 1970s, was inspired by the perceptron, engineers, physicists and mathematicians have engaged in different aspects of the neural network .)

系统辨识及其MATLAB仿真,M序列产生程序(System Identification and MATLAB, M sequence generator)

提供matlab的所有命令及相关的函数介绍(The matlab command and related functions)

说明：  此代码是用matlab软件仿真PAM4信号的传输，自动生成传输数据，在接收端做基本的信号处理，计算出误码率。(This code uses MATLAB software to simulate the transmission of pam4 signal, automatically generate the transmission data, do basic signal processing at the receiving end, and calculate the bit error rate.)