HarmoniousWavelet

PROJECT 02-02 Reducing the Number of Intensity Levels in an Image (a) Write a computer program capable of reducing the number of intensity levels in a image from 256 to 2, in integer powers of 2. The desired number of intensity levels needs to be a variable input to your program. (b) Download Fig. 2.21(a) from the book web site and duplicate the results shown in Fig. 2.21 of the book. Laboratory Projects_DIP3E 的02-02項目(PROJECT 02-02 Reducing the Number of Intensity Levels in an Image (a) Write a computer program capable of reducing the number of intensity levels in a image from 256 to 2, in integer powers of 2. The desired number of intensity levels needs to be a variable input to your program. (b) Download Fig. 2.21(a) from the book web site and duplicate the results shown in Fig. 2.21 of the book.)

使用5个隐含节点的ANN模型对污水生化处理中的沉速进行拟合，matlab调试通过。(The five hidden ANN fit the model of the settling velocity of the sewage biochemical treatment)

说明：  试编写一程序，要求比较数组ARRAY中的三个16位补码数，并根据比较结果在终端上显示如下信息：1如果三个数都不相等则显示0；2如果三个数有两个不相等则显示1；3如果三个数都相等则显示2。(Try to write a procedure that requires more in the array ARRAY complement of three 16-bit number, and the terminal on the basis of comparative results show the following information: 1 if the three numbers are not equal, display 0 2 if two of three the number of Showing 1 are not equal 3 If three numbers are equal, displays 2.)

用matlab实现ami/cmi/hdb3编码(achieving ami/cmi、hdb3 using matlaa)

说明：  本程序为将最小均方自适应算法用于二阶横向滤波器，实现权向量分析(This program is the least mean square adaptive algorithm for second-order transversal filter to achieve the right of vector analysis)

％ EM algorithm for k multidimensional Gaussian mixture estimation ％ ％ Inputs: ％ X(n,d) - input data, n=number of observations, d=dimension of variable ％ k - maximum number of Gaussian components allowed ％ ltol - percentage of the log likelihood difference between 2 iterations ([] for none) ％ maxiter - maximum number of iteration allowed ([] for none) ％ pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) ％ Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) ％ ％ Ouputs: ％ W(1,k) - estimated weights of GM ％ M(d,k) - estimated mean vectors of GM ％ V(d,d,k) - estimated covariance matrices of GM ％ L - log likelihood of estimates ％( EM algorithm for k multidimensional Gaussian mixture estimation Inputs: X (n, d)- input data, n = number of observations, d = dimension of variable k- maximum number of Gaussian components allowed ltol- percentage of the log likelihood difference between 2 iterations ([] for none) maxiter- maximum number of iteration allowed ([] for none) pflag- 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) Init- structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) Ouputs: W (1, k)- estimated weights of GM M (d, k)- estimated mean vectors of GM V (d, d, k)- estimated covariance matrices of GM L- log likelihood of estimates)

这5个源程序均用于matlab编程，且都是在matlab环境下运行成功的代码。(This 5 source are used for matlab programming, and are run under matlab environment, the success of the code.)

说明：  隐马尔可夫模型工具箱使用说明，以HMM工具箱的一个例子作为使用示范。(Hidden Markov Model Toolkit for use to HMM toolbox as an example of a demonstration.)

《Experiments with MATLAB》这本书的程序源码，附中文注释，简单易懂，是学习MATLAB编程语言的极好方式。(" Experiments with MATLAB" This book is Open Source, with Chinese notes, easy to understand, is an excellent way to learn MATLAB programming language.)

说明：  这是一个pcnn实现的程序，据说是不错的，希望对大家有用，呵呵(This is a pcnn implementation process, is said to be good, we want to be useful, huh, huh)