PSO

matlab的元胞自动机程序的源代码,胞自动机程序状态演化规则 ①如果一个元胞的状态是0,则当它有状态为1的邻元时,该元胞的状态以概率a×b变为1,并且当它的临域中状态为1的邻元越多,其状态转变为1的概率越大 ②如果一个元胞的状态是1,则该元胞的状态保持不变。初始传播者位于中心单元格25×25处 取50×50的网格，临域为Moore型，经过50个仿真时钟,知识传播结果的模拟图 (matlab Cellular Automata procedure source code, cellular automata evolution rules of procedure state ① If a cell' s state is 0, then when it has a status of one element of the neighborhood, the cellular state to the probability of a × b into one, and when it' s Pro domain status is one more element of the neighborhood, its status into a greater probability of 1 ② If a cell' s state is 1, the cellular status remains unchanged. Initial spreaders center cell 25 × 25 obtain 50 × 50 grid, the Pro domain for the Moore-type, after 50 simulation clock, the dissemination of knowledge of the simulation results of Figure)

name: UTKARSH DESHMUKH guide: A.S.ABHYANKAR SIR this code is for wavelet transform using the lifting scheme. this code does inplace computations and is hence memory efficient.

测量角度：读取图像并选择含有角度的区域，求取角的直线边界，计算直线间的角度。(Measuring angles: read image and choose contain Angle of regional and calculating the Angle between the line, line border calculation.)

需要参考图像的图像质量评测算法(MS-SSIM)(Multi-Scale Structural Similarity Index (MS-SSIM). )

北邮一个老师的讲义，还有作业和实验，是学习matlab和数学建模的辅导材料(Beijing University of Posts and Telecommunications a teacher' s lecture notes, there are operations and experiments, and mathematical modeling to learn matlab counseling materials)

柱体 TE_TM 波散射 采用的方法为矩量法由于基函数和权函数选取的是相同的，故称为伽略金(Galerkin)法。

工程测试信号 信号发生器 可产生多种波形并绘制，还可播放声音(Engineering test signal generator can produce a variety of signal waveforms and plot, but also play a sound)

matlab implementation of color guided fitler

基于Matlab的一MMSE的噪声PSD的执行跟踪的语音增强算法。这个包是一所描述的算法实现在“基于MMSE的低噪声PSD的跟踪与复杂性”，由理查德亨德里克斯，理查德Heusdens和Jesper詹森，IEEE国际会议声学，语音和信号处理，03/2010，达拉斯，德克萨斯州，p.4266 - 4269，（2010年）。 该算法具有较低的复杂性，但能够准确地估计非平稳的延迟相当低噪声PSD的跟踪噪声。(Matlab implementation of an MMSE based noise PSD tracking algorithm for speech enhancement. This package is an implementation of the algorithm described in "MMSE BASED NOISE PSD TRACKING WITH LOW COMPLEXITY", by Richard C. Hendriks, Richard Heusdens and Jesper Jensen, IEEE International Conference on Acoustics, Speech and Signal Processing, 03/2010, Dallas, TX, p.4266-4269, (2010). The algorithm has rather low complexity, but is able to accurately estimate the noise PSD for non-stationary noise with rather low tracking delay. )

it is working of induction motor of machine which is degine process of induction motor