BSM

运用免疫算法中的克隆免疫算法来解决生产调度过程中的零等待问题，经运行后效果较好，放在这里让大家指正。(The use of immune algorithm in the cloning of immune algorithm to solve the production scheduling in the process of zero-wait problem, after running better-placed here so that everyone correction.)

This program grabs the "glass brain" Maximum Intensity Projection (MIP) from an SPM99 results plot, makes the voxels orange-ish instead of gray, and offers the option of saving the separate brain images into EPS files, which are good for distilling into PDFs or for loading directly into Adobe Illustrator. By the way, the EPS files are large (around 192K), but they shrink into nice compact 8K PDF files.

The paper deals with the fuzzy control of a wastewater treatment process in which the organic substances are removed. The process is treated as a multivariable process having as control inputs the dilution rate, the aeration rate and the recycling rate and as output variables the dissolved oxygen and the substrate concentrations in the effluent. The process sensitivities with respect to the control inputs in the case of indirect control through the control of dissolved oxygen concentration and of the direct control of substrate were studied. In all cases fuzzy controllers were used. It was also shown that fuzzy control provides good results in the presence of disturbances and parametric uncertainties of the model.

lms source code for adaptive filtering the acoustic noise.

matlab应用于数学认真阅读然后直到其具体功能(applied mathematics matlab read until its specific function and then)

Euler方法解 程序，使之适用于任意右端函数f,任意步长h和任意区间[to,T]。用h=1/4,1/8,1/16分别计算初值问题 (Euler method Solutions program, which applies to arbitrary subguadratic function f, arbitrary step h and arbitrary interval [to T]. With h = 1/4, 1/8, 1/16 were calculated initial value problems)

语音识别的matlab仿真，有文档详细说明，MFCC特征提取，DTW算法识别。对10个简单语音命令进行识别(Speech recognition matlab simulation, documentation detailed description, MFCC feature extraction, DTW algorithm to identify. On 10 simple voice command recognition)

simulation synchronous motor

为IEEE TRANSACTIONS ON SIGNAL PROCESSING 的信号源被动定位与跟踪领域的经典文章“Alleviating Sensor Position Error in Source Localization Using Calibration Emitters at Inaccurate Locations”的实现程序。(For the IEEE TRANSACTIONS ON SIGNAL PROCESSING passive source localization and tracking areas of classic article " Alleviating Sensor Position Error in Source Localization Using Calibration Emitters at Inaccurate Locations" implementation process.)

这个是以fuzzy特征为例采用HMM方法进行分类的程序，里面用到的一些子函数都可以在HMM Toolbox里面找到(This is a classification code using HMM and taking fuzzy as example.the subfunctions in it can be find in the HMM toolbox.)