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MATLAB程序设计线性规划经典教程Classical linear programming MATLAB programming tutorial(Classical linear programming MATLAB programming tutorial Classical linear programming MATLAB programming tutorial)

说明：  自己编的制作红色小球沿一条带封闭路径的下旋螺线运动的实时动画。(their series produced a small red ball with a closed along the path under the rotating spiral movements of real-time animation.)

这个一个MATLAB的编写的模拟退火算法程序！希望对大家有帮助！(the preparation of a MATLAB simulated annealing procedures. We want to help!)

matlab TSVQ 樹狀結構向量量化編碼(matlab for TSVQ Tree-structured Vector Quantization )

help for GUI based on matlab

text to speech using the matlab

主程序arma2Ddemo是对模拟图像的2DAR和ARMA参数估计。(arma2Ddemo: See and run the demo arma2Ddemo for an example of 2D AR and ARMA parameters estimation from simulated images. - sim_ar2d: generation of simulated 2D AR process. - sim_arma2d: generation of simulated 2D ARMA process. - ar2d: solves 2D yule walker to estimate AR parameters - arma2d: estimation of 2D ARMA parameters. First step: estimation of the gaussian input by inv_ar2d, Second step: linear system solution to estimates simultaneously AR and MA parameters, as explained in [1]. - inv_ar2d: first step in arma2d. Filters through inverse filter 1/AR an AR process, to generate its innovation Gaussian signal. It is used here to estimate the Gaussian noise input to the ARMA 2D process, approximating the ARMA model to a high order AR model. - poles2coeff: converts poles chosen by user to AR or MA coefficients (support function) )

一个使用数学方法生成波形声音文件的源代码，可以载入预置数学公式，保存8位和16位单声道声音文件，可以设置振幅、频率、持续、采样等参数，可以调整波形斜面，回声。 这个代码值得推荐！(The use of mathematical methods to generate a waveform sound files of source code, can load preset mathematical formula, save 8 and 16-bit mono sound files, you can set the amplitude, frequency, continuous, sampling and other parameters, you can adjust waveform slope, echo . It is recommended this code!)

fit_ML_normal - Maximum Likelihood fit of the laplace distribution of i.i.d. samples!. Given the samples of a laplace distribution, the PDF parameter is found fits data to the probability of the form: p(x) = 1/(2*b)*exp(-abs(x-u)/b) with parameters: u,b format: result = fit_ML_laplace( x,hAx ) input: x - vector, samples with laplace distribution to be parameterized hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields u,b - fitted parameters CRB_b - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML

一段关于root_music的仿真程序，程序中对结果进行绘图(root_music algorithm simulation program)