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ReBEL is a Matlabtoolkit of functions and scripts, designed to facilitate sequential Bayesian inference (estimation) in general state space models. This software consolidates research on new methods for recursive Bayesian estimation and Kalman filtering by Rudolph van der Merwe and Eric A. Wan. The code is developed and maintained by Rudolph van der Merwe at the OGI School of Science & Engineering at OHSU (Oregon Health & Science University). (ReBEL is a Matlabtoolkit of functions and s cripts. designed to facilitate in sequential Bayesian ference (estimation) in general state space mo dels. This software consolidates research on n ew methods for Bayesian estimation a recursive nd Kalman filtering by Rudolph and van der Merwe Eric A. Wan. The code is developed and maintaine d by Rudolph van der Merwe at the OGI School of Sci ence)

基于matlab simulink 的六连杆模型，可以对速度，加速度，位移进行仿真，不用推倒数学公式，仿真容易实现(Based on the six linkage matlab simulink model, for speed, acceleration, displacement simulation, do not tear down the mathematical formulas, easy to implement simulation)

This is my simulation of PMSM. Hope you can edit and use it to your exercise. It is not actually correct but I think it will be useful for you.

Linear Discriminant Analysis

常用分形算法的mablab实现，包括递归算法、L系统算法、IFS迭代和逃逸时间算法(Fractal algorithm mablab commonly realized, including recursive algorithm, L system algorithm, IFS iteration and escape time algorithm)

2ASK的链路仿真，信号源的产生，PCM编码，调制解调以及加燥(2 ask link simulation signal source, PCM coding and modulation demodulation and dry)

AN INTRODUCTION TO MATRIX MANIPULATION IN MATLAB The power that MATLAB brings to digital image processing is the extensive set of functions that are available in MATLAB for processing multidimensional arrays, of which matrices (two dimensional numerical arrays) have a one to one correspondence with digital images. This tutorial discusses and illustrates a number of ways used to manipulate matrices. Usually, this is the first step in learning how to apply MATLAB tools to image processing applications.

这是考虑光信道色散，对输入信号的影响，结果仿真了功率谱密度(This is to consider chromatic dispersion of the optical channel, the input signal, the results of simulation of the power spectral density)

stanford大学deep learning在线课程课后练习代码，我自己写的，可以参考一下。(Excercise of deep learning online course from http://deeplearning.stanford.edu/wiki. It is written by myself, aiming to help other students who is confused in the course.)

Simulate "BER for BPSK in Rayleigh channel" use simulink(mathlab)