ch6example1

Implements many different methods for determining the winner of an election given voter preferences

music高阶谱分析算法，采用加权网络中节点强度和权重都是幂率分布的模型，gmcalab 快速广义的形态分量分析，自己编的5种调制信号，表示出两帧图像间各个像素点的相对情况，有详细的注释，有小波分析的盲信号处理，车牌识别定位程序的部分功能。( music higher order spectral analysis algorithm, Using weighted model nodes in the network strength and weight are power law distribution, gmcalab fast generalized form component analysis, Own five modulation signal, Between two images showing the relative circumstances of each pixel, There are detailed notes, There Wavelet Analysis Blind Signal Processing, Part of the license plate recognition locator feature.)

支持向量机。 包括SMO算法，用于求解alpha的值(Support vector machine. Including the SMO algorithm for solving alpha values)

fit_ML_normal - Maximum Likelihood fit of the log-normal distribution of i.i.d. samples!. Given the samples of a log-normal distribution, the PDF parameter is found fits data to the probability of the form: p(x) = sqrt(1/(2*pi))/(s*x)*exp(- (log(x-m)^2)/(2*s^2)) with parameters: m,s format: result = fit_ML_log_normal( x,hAx ) input: x - vector, samples with log-normal distribution to be parameterized hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields m,s - fitted parameters CRB_m,CRB_s - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML

说明：  这是一个小波变换处理语音信号的matlab程序，用于语音去噪(This is a wavelet transform voice signals in the Matlab procedures used for voice denoising)

画出Henon映射的分岔图随参数a变化的图像，注释非常详细，代码效率也很高(Henon map shown in FIG bifurcation with a variation of image parameters, very detailed notes, also high code efficiency)

快速NCC(normalized cross correlation)算法实现。比matlab自带的normxcorr2 快10-20倍。在windows Unix环境下c语言，和matlab编译通过。(use Matlab on Windows or Linux or Mac OS X and want fast (exact, general-case) normalized correlation (NCC) code right now, then download it and enjoy the large performance gain over Matlab s normxcorr2 (demo included). For the brave (and/or masochistic) there is B), however, it is unlikely you will do better than the above. Thanks to Liang Jin for making the OS X binary (his performance comparison graph on a PowerPC). )

Adaboost算法是一类弱分类器，本算法使用adaboost算法实现对于训练数据划分成两个组，然后可以用来进行数据的分类。(Adaboost algorithm is a class of weak classifier, the algorithm uses adaboost algorithm for the training data into two groups, and then can be used for data classification.)

多重分形算法 用于图像的处理和边缘图像用多重分形技术检测。(Multifractal algorithm)

Test insertion of an abstract method in a superclass.