voiceandMatlab

Matlab數位影音處理 影像方面的處理(Matlab image processing digital audio-visual aspect has been dealt with)

anoda great matlab source code.. use at ur free willl

A matlab program that illustrates the occurance of aliasing in a digital signal. if the sampling frequency is not sufficient then aliasing occurs.

说明：  相关向量机（Relevance Vector Machine，简称RVM）是Micnacl E.Tipping于2000年提出的一种与SVM（Support Vector Machine）类似的稀疏概率模型，是一种新的监督学习方法。 它的训练是在贝叶斯框架下进行的，在先验参数的结构下基于主动相关决策理论（automatic relevance determination，简称ARD）来移除不相关的点，从而获得稀疏化的模型。在样本数据的迭代学习过程中，大部分参数的后验分布趋于零，与预测值无关，那些非零参数对应的点被称作相关向量（Relevance Vectors），体现了数据中最核心的特征。同支持向量机相比，相关向量机最大的优点就是极大地减少了核函数的计算量，并且也克服了所选核函数必须满足Mercer条件的缺点。(Relevance Vector Machine (RVM) is a sparse probability model similar to SVM (Support Vector Machine) proposed by Micnacl E. Tipping in 2000. It is a new supervised learning method. Its training is carried out under the Bayesian framework. Under the structure of prior parameters, it is based on Automatic Relevance Determination (ARD) to remove the irrelevant points, so as to obtain the sparse model. In the iterative learning process of sample data, the posterior distribution of most parameters tends to zero, which is independent of the predicted value. The points corresponding to non-zero parameters are called Relevance Vectors, which represent the most core features of the data. Compared with support vector machine, the biggest advantage of correlation vector machine is that it greatly reduces the computation amount of kernel function, and also overcomes the shortcoming that the selected kernel function must meet Mercer's condition.)

衰落信道下的盲估计研究不同信噪比下典型相关分析(snr)

compressive sensing 新版本MMA14( This is an example using the Subspace Pursuit Algorithm of Wei Dai and Olgica Milenkovic "Subspace Pursuit for Compressive Sensing: Closing the Gap Between Performance and Complexity" and the Re-weighted algorithm of Rick Chartrand and Wotao Yin "Iteratively Reweighted Algorithms for Compressive Sensing" In order to run this example you need to install all these m.files in the same directory and type trialSP2 at the prompt. Written by Igor Carron http://nuit-blanche.blogspot.com Creative Commons Licence with attribution)

用于编写分段函数，方便实用，简单，可以直接复制套用。(Preparation of sub-function)

基于全相位傅立叶变换apFFT的特征提取程序，可用于光纤扰动特征向量提取(Based on all phase of Fourier transform apFFT feature extraction procedures, can be used for optical fiber disturbance eigenvector extraction)

说明：  压缩感知重构信号的实例 压缩感知（Compressed sensing），也被称为压缩采样（Compressive sampling）或稀疏采样（Sparse sampling），是一种寻找欠定线性系统的稀疏解的技术。(An example of compressed sensing reconstruction signal)

draw region of interest