rotatewheel

说明：  此程序实现构造Daubechies小波基,求解小波尺度函数离散整数点的值和实现尺度函数经伸缩后的离散值采用双尺度方程求解小波基函数(The Program for Daubechies wavelet construction, solving the discrete wavelet scaling function and implementation of an integer point value after scaling function by the expansion of discrete values using the two-scale wavelet basis function equation)

耳蜗实质上相当于一个滤波器组，耳蜗的滤波作用是在对数频率尺度上进行的，在1000HZ下，人耳的感知能力与频率成线性关系；而在1000HZ以上，人耳的感知能力与频率不构成线性关系，而更偏向于对数关系，这就使得人耳对低频信号比高频信号更敏感。Mel频率的提出是为了方便人耳对不同频率语音的感知特性的研究。频率与Mel频率的转换公式为(Cochlear substantially equivalent to a filter set, cochlear filter is used on logarithm frequency scale, under the 1000 hz, the perception of the human ear and a linear relationship with frequency In more than 1000 hz, the perception of the human ear does not constitute a linear relationship with frequency, and prefer to logarithmic relationship, which makes the human ear is sensitive to low frequency signal is better than high frequency signal. Mel frequency is put forward in order to facilitate the ear of the study of speech perception characteristics of different frequency. For frequency and Mel frequency conversion formula )

an adaptive quite general fast multipole method in 2 dimensions with a nice Matlab-interface.

QualNet-5.0.2-APIReferenceGuide.ita software manual.QualNet-5.0.2

随意用MATLAB制作宋词，DIY...............(Song produced using MATLAB random, DIY ...............)

matlab 先进行图像处理，然后可以以图像像素的形式进行手势识别(matlab image processing first, then you can make the gesture recognition in the form of image pixels)

关于系统辨识的一些仿真程序，里面包括各种经典算法(On system identification of a number of simulation procedures, which include a variety of classic algorithms)

permutar matriz y generador de arreglo de numeros aleatorios irrepetibles

变模式分解（Variational Mode Decomposition），实现非线性、非平稳信号处理，解决经验模式分解（emd）缺陷，包含代码和对应的文章(Variational Mode Decomposition,non-station, non-linear signal processing, decompose a signal into different modes,improved emd method. include code and its corresponding paper)

BACKSAMP Backsampling the subband images of the directional filter bank y = backsamp(y) Input and output are cell vector of dyadic length This function is called at the end of the DFBDEC to obtain subband images with overall sampling as diagonal matrices See also: DFBDEC