genetic-algorithm

Image processing: MAP and DCT implementation in Matlab

SVM using matlab processing

M序列脉冲响应辨识，系统辨识，采用5级移位寄存器产生M序列作为输入信号，辨识该系统的脉冲响应(M-sequence impulse response identification, system identification, a 5-stage shift register generates M sequence as the input signal, identify the system impulse response)

说明：  MATLAB图像处理源程序汇总2：程序代码说明 P0201：MATLAB赋值 P0202：MATLAB中的for循环 P0203：MATLAB中的for循环和if条件 P0205：MATLAB图像处理的基本操作 P0206：MATLAB高级图像处理操作 P0207：根据RGB图像创建一幅灰度图像 P0208：二值图像的取反操作 P0209：用imshow函数显示图像 P0210：在同一个窗口内显示两幅图像(MATLAB image processing source Rollup 2: Description p0201 code: MATLAB assignment P0202: for loop P0203 in MATLAB: MATLAB in the for loop and if conditions P0205: MATLAB image processing operations P0206: MATLAB Advanced image processing operations P0207: RGB images to create a grayscale image P0208: binary image inverted operation P0209: imshow function to display the image P0210: two images displayed in the same window)

％ 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)

自适应算术编码的框架，可以直接用来直接开发，用C语言编写的(adaptive arithmetic coding framework that can be directly used to direct development, using the C language)

对实验数据的FFT分析，可以显示时域和频域的结果(FFT analysis of the experimental data, can display the results of the time domain and frequency domain)

声子晶体的源程序：圆柱形散射体呈正三角排列的ＸＹ模的程序(Phononic crystal source: cylindrical scattering lanes are arranged in triangular XY model program)

<神经网络理论与Matlab7实现>内的代码文件!各种神经网络的实现程序基本都有!CMAC除外(<Neural Network Theory and the realization of Matlab7> within the code files! Various neural network realization of the basic procedures have! CMAC except)

matlab-zuisuxiajiang实现matlab上的最速下降法(Matlab- Matlab zuisuxiajiang achieve the steepest descent method)