voice_prcossing

standard winner channel

【MATLAB GUI设计学习手记】源代码,比较全([Notes] learning MATLAB GUI design source code, compare the whole)

由一个隐马尔可夫模型产生一个观测值序列和一个状态序列(Consists of a hidden Markov model to generate a sequence of observations and a state sequence)

基于RLS 的麦克风阵列自适应语音降噪 算法及matlab 实现(The method abstracting the desired signal from strong background noise through RLS.)

PWM for Buck converter download from mathwork forum

宽带信号协方差矩阵稀疏表示DOA估计算法仿真(The broadband signal covariance matrix sparse said DOA estimation algorithm simulation)

贝叶斯压缩感知，一种新的压缩感知，主要是解决信号的重构问题(Bayesian compressed sensing, a new compressed sensing, mainly to resolve the signal reconstruction problem)

KDD99的属性约简，国外高人写的代码。(KDD99 of attribute reduction, foreign Gaoren to write code.)

ASM是由Cootes和泰勒推出的多分辨率方法的一个例子。 基本思想： 在ASM模型训练，训练从手工绘制的图像轮廓。发现的ASM模型在训练使用主成分分析（PCA），使该模型自动识别数据的主要变化是，如果可能的轮廓/好的对象的轮廓。还包含了ASM模型的协方差矩阵描述行垂直纹理口岸时，在正确的位置。 (Description This is an example of the basic Active Shape Model (ASM) as introduced by Cootes and Taylor, with multi-resolution approach. Basic idea: The ASM model is trained from manually drawn contours in training images. The ASM model finds the main variations in the training data using Principal Component Analysis (PCA), which enables the model to automatically recognize if a contour is a possible/good object contour. Also the ASM models contains covariance matrices describing the texture of the lines perpendicular to the control points when in the correct positions. After creating the ASM model, an initial contour is deformed by finding the best texture match for the control points. This is an iterative process, in which the movement of the control points is limited by what the ASM model recognizes from the training data as a "normal" object contour. Literature: - Ginneken B. et al. "Active Shape Model Segmentation with Optimal Features", IEEE Transactions on Medical I)

说明：  此资料实现了ADABOOST和HAAR的特征提取和从弱分类到强分类的具体步骤(The data achieved ADABOOST and HAAR of feature extraction and classification from weak to strong category specific steps)