RotMatrix654654654

ICA算法的提出者Aapo Hyvarinen提供的FastICA算法，经典中的经典。(Author Aapo Hyvarinen ICA algorithm FastICA algorithm is available, the classic of classics.)

matlab大学matlab实训题目1答案(matlab test 1 anwser)

Compressive sensing (CS) has been proposed for signals with sparsity in a linear transform domain. We explore a signal dependent unknown linear transform, namely the impulse response matrix operating on a sparse excitation, as in the linear model of speech production, for recovering compressive sensed speech. Since the linear transform is signal dependent and unknown, unlike the standard CS formulation, a codebook of transfer functions is proposed in a matching pursuit (MP) framework for CS recovery. It is found that MP is efficient and effective to recover CS encoded speech as well as jointly estimate the linear model. Moderate number of CS measurements and low order sparsity estimate will result in MP converge to the same linear transform as direct VQ of the LP vector derived the original signal. There is also high positive correlation between signal domain approximation and CS measurement domain approximation for a large variety of speech spectra.

本压缩包提供了本人课程教学期间课堂演示的PCM编码与解码、2FSK、2ASK、2PSK调制、基带升弦系统。每个模块达到参数都作了优化，以求获得良好的演示效果，对于学习通信原理课程、本科课程或毕业设计同学非常有用。(The folder include the code for PCM ,2ASK,2PSK,2FSK, base-band raised cosine System. All this was did in the matlab7.0/simulink 。 the parameters in every module prefer in order to get the excellent result .the folder is very useful for students in learning the communication theory and simulink .especially for lesson tasks .)

有借鉴意义哦，均值便宜跟踪的示例，各种kalman滤波器的设计。( There are reference Oh, Example tracking mean cheap, Various kalman filter design.)

说明：  matpower电网潮流计算工具下载，功能强大(Mapower power grid power flow calculation tool download, powerful function)

说明：  matlab 遗传算法求解tsp，有详细的交叉，变异说明，适合初学者(matlab genetic algorithm tsp, detailed crossover, mutation description, suitable for beginners)

Audio Inpainting Toolbox By Valentin Emiya, INRIA, France Amir Adler, The Technion, Israel Maria Jafari, Queen Mary University of London, UK Contact: valentin.emiya@inria.fr ------------------------------------------------- Requirements The code has been developped in Matlab (R2010a). The CVX toolbox is required by solvers. Installation Just unpack the archive and ensure that you have CVX installed

非线性最小二乘法Matlab实现 f=x(1)*K^x(2)*L^x(3)-b Cobb-Douglas生产函数(Matlab nonlinear least square method to achieve f = x (1)* K ^ x (2)* L ^ x (3)-b Cobb-Douglas production function)

该程序用实现寻找钼靶图像中乳腺轮廓。在医学图像处理当中，找到乳腺轮廓有助于简化后绪处理。(This code is used for finding the boudary of the breast in a mammogram.)