msdesim

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

说明：  们讨论图像的重构。我编写的重构程序中，为了比较分解图像和重构图像，首先绘出经过小波分解的图像，然后再进行重构。在绘制分解图像和重构图像的过程中，要注意数据格式的转换。(Image Reconstruction discussed. I prepared reconfiguration process, in order to compare decomposition of images and reconstruction of images, first of all draw after a wavelet decomposition of the image, and then reconstructed. Decomposition in the rendering image and reconstructed image of the process, attention should be paid to data format conversion.)

清华大学电子系随机过程运用鞅和停时仿真博弈的大作业。详细注释，代码已调试(stop-time gambling random process)

MUSIC算法[1] 是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。MUSIC算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。(algorithm MUSIC is a method based on matrix feature space decomposition. From a geometric point of view, the signal processing of the observation space can be decomposed into signal subspace and noise subspace, it is clear that these two spaces are orthogonal. Signal subspace by the array received data covariance matrix and signal corresponding to the feature vector and noise subspace is by the covariance matrix of all minimum feature values (noise variance) corresponding to the feature vectors are composed. MUSIC algorithm is to use the orthogonal characteristics of these two complementary space to estimate the azimuth of spatial signals. All vectors of the noise subspace are used to construct spectral, and the peak position in all spatial azimuth spectra correspond to the direction of arrival of the signal. MUSIC algorithm greatly improves the direction finding resolution, and at the same time it is suitable for the antenna array of any shape, but the prototype MUSIC algorithm requir)

matlab code is used the many purpose

svm支持向量机训练数据并试验、数据采集方法为主元分析法(svm matlab)

元胞自动机模型 森林灭火 matlab程序(the program for ca model)

matlab 构建AWGN 信道的构建，并且详细分析了BER 和信噪比(simulation on OFDM AWGN channel compute BER AND SNR perfermance)

matlab实现的感知机应用上的实例，对其具体功能的加深认识(matlab implementation of Perceptron application examples to deepen understanding of their specific functions)

this is FIR-filter with wavelet method for mode estimation of system for ambient data