PsoConstrained_ELD

采用模糊PD控制的系统仿真，提供了设计方案，(The fuzzy PD control system simulation, provides design,)

现代通信系统（实用MATLAB)第三章程序(Modern communication systems (useful MATLAB) Chapter III of the procedure)

感知器感知器算法训练二元线性分类器。结构体数据使用感知器学习规则 找到给定的二分类标签数据超平面。 (PERCEPTRON Perceptron algorithm to train binary linear classifier. Synopsis: model = perceptron(data) model = perceptron(data,options) model = perceptron(data,options,init_model) Description: model = perceptron(data) uses the Perceptron learning rule to find separating hyperplane from given binary labeled data. model = perceptron(data,options) specifies stopping condition of the algorithm in structure options: .tmax [1x1]... maximal number of iterations. If tmax==-1 then it only returns index (model.last_update) of data vector which should be used by the algorithm for updating the linear rule in the next iteration. model = perceptron(data,options,init_model) specifies initial model which must contain: .W [dim x 1] ... normal vector. .b [1x1] ... bias of hyperplane. .t [1x1] (optional) ... iteration number. Input: data [struct] Labeled (binary) training data. .X [dim x num)

matlab动态波浪图并带有功能键，点击可调节波浪的跳动快慢(Dynamic wave graph MATLAB and a function key, click on the wave speed can be adjusted. )

在自适应噪声对消中的，周期信号和噪声信号的分离，利用了噪声延时后的非相关性。(In the adaptive noise canceller, the periodic signal and the noise signal separation, the use of the noise delayed non-correlation.)

用jacobi迭代方法来求解方程组的解的程序(With Jacobi iterative method to solve the solution of system program)

recognizing fingerprint image

AP-FFT频谱校正方法,需要自己改进一部分。(AP-FFT spectrum correction method, need to improve their own part.)

在一定的约束条件下，其输出与一给定函数（通常称为期望输出）的差的平方达到最小，通过数学运算最终可变为一个托布利兹方程的求解问题。维纳滤波器又被称为最小二乘滤波器或最小平方滤波器，目前是基本的滤波方法之一。维纳滤波是利用平稳随机过程的相关特性和频谱特性对混有噪声的信号进行滤波的方法，1942年美国科学家N.维纳为解决对空射击的控制问题所建立，是40年代在线性滤波理论方面所取得的最重要的成果。(Under some constraint conditions, the output with a given function (often referred to as expected output) the square of the difference between the minimum, through mathematical operation can be turned into a final taub Leeds equation to solve the problem.Wiener filter is also known as least squares filter or least square filter, is now one of the basic filter method.Wiener filtering is to use the related characteristics of stationary random process and spectrum characteristics of mixed with noise signal filtering method, scientists in the United States in 1942 n. wiener established to solve the control problem of empty shooting, is 40 s in the theory of linear filtering is the most important results.)

说明：  codes for MSST, which improved the sst (swt)