ISA_book_example

1) Pls note that the input sequence shall be a power of 4. 2) Output bits are reversed in Quaternary System. MATLAB release MATLAB 7.5 (R2007b)

相信做PWM的同学看见这个比较高兴，希望可以对您有帮助，谢谢支持。(PWM do believe that the students see the comparison that he hopes can be helpful to you, thank you support.)

卡尔曼滤波的Matlab实现，有理论，有程序，一步步引导完成卡尔曼滤波的学习。(This conference includes a description of the standard Kalman filter and its algorithm with the two main steps, the prediction step and the correction step.)

LZ compression LZ decompression

用matlab实现简单的图像的放大和缩小(use matlab)

该文件详细介绍了MATLAB进行矩阵的各种运算，内容丰富，浅显易懂(For matrix operation with MATLAB)

本文简要介绍了语音信号采集与分析的发展史以及语音信号的特征、采集与分析方法，并通过PC机录制自己的一段声音，运用Matlab进行仿真分析，最后加入噪声进行滤波处理，比较滤波前后的变化。(This paper introduces the voice signal acquisition and analysis of the history and characteristics of speech signals, sampling and analysis methods, and through a PC, record your own voice, use of Matlab simulation and analysis, and finally adding noise filtering, comparing before and after filtering change.)

二维FDTD仿真soft source入射到有限区域边界后的传播，区域中间放置了一块pec，并且设定了ABC边界条件，可以自动生成关于Ez，Hx和Hy的.avi文件，播放脉冲动态传输。(Dimensional FDTD simulation soft source is incident to spread limited area boundary after placing a piece of the middle region pec, and set the ABC boundary conditions, can automatically generate .avi files on Ez, Hx and Hy, and play dynamic pulse transmission.)

Manages the interaction between the secure system setting for default geolocation.

说明：  盲源分离FastICA、matalab程序，(FAST KERNEL ICA | |--------------------| Version 1.0- February 2007 Copyright 2007 Stefanie Jegelka, Hao Shen, Arthur Gretton This package contains a Matlab implementation of the Fast Kernel ICA algorithm as described in [1]. Kernel ICA is based on minimizing a kernel measure of statistical independence, namely the Hilbert-Schmidt norm of the covariance operator in feature space (see [3]: this is called HSIC). Given an (n x m) matrix W of n samples from m mixed sources, the goal is to find a demixing matrix X such that the dependence between the estimated unmixed sources X *W is minimal. FastKICA uses an approximate Newton method to perfom this optimization. For more information on the algorithm, read [1], and for more information on HSIC, refer to [3]. The functions chol_gauss and amariD are taken from and based on, respectively, code from Francis Bach (available at http://cmm.ensmp.fr/~bach/kernel-ica/index.htm). The derivative is com)