shanon-fano

inmatrix函数创建一个与x矩阵同等大小的二、十进制换算对应表，所生成的换算对应表的第一行到末行依次对应二进制的高位到低位；并用此生成的换算对应表进行其他如求列和、列和代表的字符的运算；(inmatrix function creates a matrix of equal size with x 2, corresponding to decimal conversion table, the generated conversion table corresponding to the last line the first line of a high order corresponding to the low binary and use the resulting conversion table corresponding to the other, such as seeking out and , columns, and the representative character of the operation )

Shows a 3d shape and its centerline

三次样条插值法,图像的块操作,图形的过滤操作(In the same coordinate, can draw three concentric circles, and coordinate control.)

I am uploading a file of Turbo Coded OFDM with Large Number of Subcarriers. Plz accept it. Thanks and Regards, salman

计算视频图像中每一帧的能量,matlab 代码，可以用于分析图像原能量与编码解码后，误差与原图像能量的倍数关系(computing the energy of each frame in image processing)

matlab code for Kernel graph cut image segmentation

无约束条件的粒子群优化算法代码，简单实用！(No constraints PSO algorithm code, simple and practical!)

MATLAB，紋理分析，利用GLCM來得到Entropy、homogenity、itensity、correletion、IDM、ENRGY...十多種紋理特性(MATLAB, texture analysis using GLCM to get Entropy, homogenity, itensity, correletion, IDM, ENRGY ... more than ten kinds of texture features)

小波降噪、时频分析等方法，系统地研究航天电子设备多余物噪声检测过程中各操作变量和微粒物理参数对声波频谱的影响。通过单因素试验，详细分析了微粒粒径、振动力学条件中加速度和频率等3因素对声音信号频谱分布的影响规律，比较了短时傅里叶变换和小波变换的特点。该结果为进一步识别多余物微粒的参数提供了指导依据(the complexity of the material interaction and the properties of the particles themselves make the received signal difficult to analyse. This paper based on particle collision sound wave mechanism, using the methods of wavelet de-noising, time-frequency analysis and so on, this paper systematically studies the influence of various operating variables and particle physics parameters on the sound spectrum in the process of detecting the noise of aerospace electronic equipment. Through the single factor test, the influences of the three factors such as acceleration and frequency on the spectral distribution of the sound signal are analyse in detail, and the characteristics of the short-time Fourier transform and the wavelet transform are compared. The result provides a guideline for further identification of the parameters of the extraneous particles.)

遗传算法估计参数 模型y=a1+a2*exp(-t) 参数a1,a2∈[0,10] (Parametric estimation of model y=a1+a2*exp(-t))