learnmatlabcode

display heart sound and apply block framing, windowing fucntion

MATLAB曲面拟合（注：本例参考他人）(MATLAB surface fitting (Note: in this case a reference to others))

实现粒子群算法，里面有代码，大家可以放心的使用，里面程序是可以用的 。(fgfggfg)

可以产生测距的超声多普勒信号，为测距回波信号提供素材(could have Doppler signal in order to Echo Ranging provide material)

生成环形有限元网格，可改变网格系数程度，可用于达特茅斯NIRFAST软件包。(gengerates ring-shape finite element mesh with variable mesh density,applicable to NIRFAST by Dartmouth.)

ofdm channel estimation based on pilot symbols

face recognition system in matlab...

hht可以实现希尔伯特黄变换，对信号进行包络分解...(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)

这是一个基于DTW的语音识别算法，由matlab实现，相信对大家有帮助。(This is a DTW-based speech recognition algorithm by matlab to achieve, I believe that everyone has to help.)