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本设计采用了一种基于三参数组合的方法对语音信号进行了清/浊音判决。在传统两参数（短时能量和过零率）算法基础上增加了自相关函数作为判决参数，减少了清/浊音信号误判率。(This design uses a combination of methods based on three parameters of the voice signals of the Qing/voiced sentence. In the traditional two parameters (short-term energy and zero crossing rate) algorithm based on the increase since the correlation function as a decision parameter, reducing the clearance/voiced signal false positives.)

A database of facial expression images was collected. Ten expressors posed 3 or 4 examples of each of the six basic facial expressions (happiness, sadness, surprise, anger, disgust, fear) [4] and a neutral face for a total of 219 images of facial expressions.

matlab6.5图形图像处理源程序 是初学matlab的好帮手。。(matlab6.5 graphics image processing source code beginner matlab good helper. .)

说明：  DC Motor Speed Modeling in Simulink with input step

说明：  迭代法 matlab 数值计算 jacobi (Numerical jacobi iteration matlab)

10*10*10最小二乘三位定位算法matlab源代码(10* 10* 10 least-squares three positioning algorithm Matlab source code)

基于matlab的gmsk的调制解调，对于通信专业有很大用处(The gmsk based modulation and demodulation matlab, very useful for communications professionals)

说明：  采用案例形式，以智能算法为主线，讲解了遗传算法、免疫算法、退火算法等多种最常用的智能算法的matlab实现，共30个案例，每一个案例都是使用智能算法解决问题的具体案例。所有案例均有理论、背景、程序实现代码和扩展阅读四个部分。(In the form of cases, taking the intelligent algorithm as the main line, this paper explains the matlab implementation of genetic algorithm, immune algorithm, annealing algorithm and other most commonly used intelligent algorithms, a total of 30 cases, each case is a specific case of using intelligent algorithm to solve the problem. All cases have four parts: theory, background, program implementation code and extended reading.)

用折叠算法来进行检测及进行参数估计是在跳频信号领域里行之有效的办发(With a folding algorithm to detect and estimate the parameters of frequency hopping signals in the field of effective hair do)

若不希望用与估计输入信号矢量有关的相关矩阵来加快LMS算法的收敛速度，那么可用变步长方法来缩短其自适应收敛过程，其中一个主要的方法是归一化LMS算法（NLMS算法），变步长 的更新公式可写成 W（n+1）=w（n）+ e（n）x（n） =w（n）+ （3.1） 式中， = e（n）x（n）表示滤波权矢量迭代更新的调整量。为了达到快速收敛的目的，必须合适的选择变步长 的值，一个可能策略是尽可能多地减少瞬时平方误差，即用瞬时平方误差作为均方误差的MSE简单估计，这也是LMS算法的基本思想。 (Want to estimate if the input signal vector and the relevant matrix to speed up the convergence rate of LMS algorithm, then the variable step size method can be used to shorten its adaptive convergence process, one of the main method is normalized LMS algorithm (NLMS algorithm) , variable step-size update formula can be written W (n+ 1) = w (n)+ e (n) x (n) = w (n)+ (3.1) where, = e (n) x (n) the right to express filter update vector iterative adjust the volume. In order to achieve the purpose of fast convergence, we must choose the appropriate value of variable step size, a possible strategy is as much as possible to reduce the instantaneous squared error, which uses the instantaneous squared error as the mean square error MSE of the simple estimate, which is the basic LMS algorithm思想.)