PV_Array_diff_irrads

彩色图像质量评价程序，用于评价彩色图片的清晰度(Color image quality assessment procedures for resolution of color images)

使用小波包变换分析信号的MATLAB程序(The use of wavelet packet transform analysis of signals in MATLAB program)

说明：  基于遗传算法的机械故障诊断，可以更好的对故障进行分离，使得结果更准确。使用该程序优化效率更高，相对于传统的优化算法，该算法运算速度更快。(Mechanical fault diagnosis based on genetic algorithms, you can better separate the fault, making the results more accurate. More efficient use of the optimization program, as opposed to traditional optimization algorithm computing faster.)

语音增强算法，基于LsA-MMSE方法，并对其先验信噪比估计器进行了修改，具体过程参看Isal的论文。语音间隙间的音乐噪声也消除了。(speech enhancement algorithms, based on LsA- MMSE, and signal-to-noise ratio of its prior estimate for the changes, See specific process Isal theses. Voice gap between the music also eliminate the noise.)

Wiley, Introduction To Digital Signal Processing And Filter Design (2005) Ling Lotb [use of Matlab]

Basic matlab problems

基于PCA的人脸特征抽取，首先将200幅人脸图像转换成向量形式，进而进行组成样本矩阵。(The PCA-based facial feature extraction, first 200 face images into a vector format, then the composition of the sample matrix.)

Matlab For Communication

GSCALE Scales the intensity of the input image. G = GSCALE(F, full8 ) scales the intensities of F to the full 8-bit intensity range [0, 255]. This is the default if there is only one input argument. G = GSCALE(F, full16 ) scales the intensities of F to the full 16-bit intensity range [0, 65535]. G = GSCALE(F, minmax , LOW, HIGH) scales the intensities of F to the range [LOW, HIGH]. These values must be provided, and they must be in the range [0, 1], independently of the class of the input. GSCALE performs any necessary scaling. If the input is of class double, and its values are not in the range [0, 1], then GSCALE scales it to this range before processing. The class of the output is the same as the class of the input. Copyright 2002-2004 R. C. Gonzalez, R. E. Woods, & S. L. Eddins Digital Image Processing Using MATLAB, Prentice-Hall, 2004 $Revision: 1.5 $ $Date: 2003/11/21 14:36:09 $

灰色预测是一种对含有不确定因素的系统进行预测的方法。灰色预测通过鉴别系统因素之间发展趋势的相异程度，即进行关联分析，并对原始数据进行生成处理来寻找系统变动的规律，生成有较强规律性的数据序列，然后建立相应的微分方程模型。(Dissimilarity trends, namely, correlation analysis, and generate raw data processing system to find the law changes, generate a strong regularity of the data sequence, then the corresponding differential equation model.)