Lagrange-algorithm

This is a matlab code for fast fourier transformation using gaussian filter

说明：  功能:在彩色图片上令肤色区域为白色,其余为黑色,并用矩形将各连通区域标志出来,用matlab实现(Function: to make color in the color picture on the white area, the rest is black, and will each connected region with a rectangular logo out to achieve with matlab)

用基本小波97进行变换wavecdf97(x=imread)(the basic wavelet transform wavecdf97 97 (x = imread))

卡尔曼滤波 卡尔曼滤波 卡尔曼滤波 卡尔曼滤波(kaerman kaerman ekf ekf )

this is matlab simulink simulation. it implies m-ary FSK with convolutional coding under AWGN channel.

根据前辈教的方法编写的呼吸信号的分析程序，希望能够给大家提供参考(According to the written respiratory signal analysis program the predecessors to teach the method, want to be able to provide a reference for everyone)

实现双三次插值图像缩放算法，修改k值，即可修改放大倍数或缩小倍数！(To achieve bi-cubic interpolation algorithm for image scaling, modified k values can be modified to enlarge or shrink the multiples of multiples!)

针对差分进化算法的程序，基于matlab，(Procedures for the differential evolution algorithm, based on matlab,)

mtlab code for finding protein coding region in DNA strand

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.