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在Matlab中用处理数字图像的算法来处理图像 自己可以运行一下，这里边是书上的源代码，很难找到的，我找到了，贡献给大家(In Matlab by processing digital image processing algorithms to the image)

说明：  MATLAB_stepper_motor_control.zip

采用脉冲响应不变法和双线性变换法设计IIR数字滤波器。 (Using impulse response method and bilinear transform IIR digital filter design. )

说明：  马尔科夫链蒙特卡洛方法的一个小例子,给了具体的数据和示例(a matlab code for MCMC application)

matlab pso toolbox 工具箱。 pso算法的matlab实现。 其中有几个经典的测试函数。(toolbox matlab pso toolbox. PSO algorithm matlab realize. Several of the classic test function.)

说明：  本程序适用于一阶超静定问题，是一种三赶简单问题.(This procedure applies to first-order indeterminate problems is a three time for simple questions.)

基于Wiener滤波的语音消噪Matlab源程序 调用方式： output=WienerScalart96(signal,fs,IS) signal－－输入含噪语音 fs－－－－语音信号采样率 IS－－－－起始静音端，用来估计噪声方差（秒做单位，默认是0.25秒） (Wiener filter-based de-noising of the voice call Matlab source code the way: output = WienerScalart96 (signal, fs, IS) signal- voice input with noise fs---- voice signal sampling rate IS---- Start mute end used to estimate the noise variance (units of seconds to do, the default is 0.25 seconds))

基于小波分析和主成分分析的人脸识别研究随着社会的发展，社会各个方面对快速有效的身份验证的要求日益迫切。由 于生物特征是人的内在属性，具有很强的自身稳定性和个体差异性，因此是身份 验证的理想依据。其中利用人脸特征又是最自然直接的手段，相比其他生物特征， 它具有直接、友好、方便的特点，易于为用户接受。从而，人脸识别吸引了越来 越多来自计算机视觉和信号处理等领域的关注，成为模式识别、图像处理等学科 的研究热点。(Based on wavelet analysis and principal component analysis of the Face Recognition With the social development of all aspects of society in his capacity as quickly and efficiently verify the requirements of increasingly urgent. Biological characteristics as a result of the inherent human attribute, has a strong individual differences in their stability and, therefore, is an ideal basis for authentication. The use of facial features which is the most natural means of direct, compared with other biological characteristics, it has a direct, friendly, convenient and easy for users to accept. Thus, face recognition has attracted more and more from the computer vision and signal processing and other areas of concern, as a pattern recognition, image processing, such as the research subjects.)

马克维茨有效边界检验，分为有无风险利率和有无风险利率两类(Markowitz efficient frontier inspection, into whether the interest rate risk interest rate risk and the availability of two types of)

介绍了小波变换的基本应用，采用小波滤波的方法实现对一组数据的处理，处理结果表明，选取合适的小波基函数以及分解层数才能够达到理想的效果(The basic application of wavelet transform, wavelet filtering method to achieve a set of data processing, processing results show that selecting the appropriate wavelet basis function and decomposition level to be able to achieve the desired results)