Simulation_of_a_variety_of_LMS_Algorithm

this source code is very good

naive bayesian classification

AWGN、单径、多径无线信道MATLAB仿真程序(AWGN, single path, multipath radio channel MATLAB simulation program)

盲源分离（BSS: Blind Source Separation），又称为盲信号分离，是指在信号的理论模型和源信号无法精确获知的情况下，如何从混迭信号（观测信号）中分离出各源信号的过程。盲源分离和盲辨识是盲信号处理的两大类型。盲源分离的目的是求得源信号的最佳估计，盲辨识的目的是求得传输通道混合矩阵。(Blind signal separation (BSS), also known as blind source separation, is the separation of a set of source signals from a set of mixed signals, without the aid of information (or with very little information) about the source signals or the mixing process. This problem is in general highly underdetermined, but useful solutions can be derived under a surprising variety of conditions. Much of the early literature in this field focuses on the separation of temporal signals such as audio. However, blind signal separation is now routinely performed on multidimensional data, such as images and tensors, which may involve no time dimension whatsoever.)

A generalized Richardson extrapolation routine that can perform multiple extrapolation steps, can accommodate arbitrary leading error terms, can handle any uniform refinement scheme (e.g. h/2, h/3, h/5, etc), and can report a full extrapolation table including comparing against a known good solution. Able to handle vector inputs. Compatible both with MATLAB and Octave. Includes Octave-style unit tests.

用matlab的m函数实现pid控制的silulink模型，实现了m语言和simulik模型的结合(Matlab m-function to the pid control the silulink model to achieve the combination of the m language and simulik of model)

用matlab实现三维情况下波的传播仿真，带有PEC边界.！(realize the propogation of electromagnetic under 3-D situation，with respect to the perfect electronic condutor.)

A MATLAB book which will be helpful for beginners

MATLAB实现截屏的小程序,能够进行部分截取(MATLAB implementation applet screenshot)

里面有三个二维模糊调节器分别实现PID控制器的参数Kp，ki，Kd，的调节。其控制原理：根据前面的偏差e和偏差变化ec将三个模糊控制器FC1,FC2,FC3分别进行模糊化，模糊逻辑推理，解模糊化。最后得到pid控制器参数调节量。(There are three-dimensional fuzzy regulator PID controller parameters Kp, ki Kd, adjust. The control principle: the front of the deviation e and error change ec three fuzzy controllers FC1 has FC2, FC3, fuzzification, fuzzy logic inference, defuzzification. Finally, get the pid controller parameter adjustment.)