FastICA

802.11a 很详细的说明 软件硬件都有 大家好好学习吧(802.11a very detailed description of software and hardware you have everyone study hard)

现代数字信号处理中的lms及kalman算法的源代码(Lms and kalman modern digital signal processing algorithm source code)

混沌时间序列多步自适应预测方法，非常有用，采用自适应算法，比局部算法要准确(chaos time series prediction)

matlab LMA仿真自适应滤波 关于LMS自适应滤波器的MATLABA实现 (Simulation of adaptive filtering matlab LMA on the LMS adaptive filter to achieve the MATLABA)

主成分分析是设法将原来众多具有一定相关性（比如P个指标），重新组合成一组新的互相无关的综合指标来代替原来的指标。(Principal Component Analysis，PCA)

说明：  MATLAB_stepper_motor_control.zip

P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化 P0305：模拟图像受高斯白噪声和椒盐噪声的影响 P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波 P0309：运用5种不同的梯度增强法进行图像锐化 P0310：图像的高通滤波和掩模处理 P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理 P0312：利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理(P0301: digital image data display matrix and its Fourier transform P0302: Two-dimensional discrete cosine transform image compression P0303: gray-scale transformation of the methods used to enhance image contrast P0304: Histogram of homogenization P0305: simulated images by the Gaussian white noise and salt and pepper noise P0306: A two-dimensional median filter function medfilt2 by the salt and pepper noise to the image filtering P0307: the use of MATLAB function in the noise interference of filter2 images mean filter P0308: Wehner adaptive image filtering P0309: the use of five kinds of different gradient enhanced image sharpening method P0310: the image of the high-pass filter and mask to deal with P0311: the use of Butterworth (Butterworth) low pass filter on the subject of the image noise smoothing P0312: the use of Butterworth (Butterworth) high-pass filter for sharpening images)

经典的功率谱和 双谱估计，很好，看看能用上的。(Classic power spectrum and dual spectrum estimation, well, look at can be used on.)

The above matlab code include the simulation of dipole antenna and current distribution using standard algorithm

Lattice Boltzmann sample in Matlab Copyright (C) 2006-2008 Jonas Latt