rx-sm

WaveLab is a library of Matlab routines for wavelet analysis, wavelet- packet analysis, cosine-packet analysis and matching pursuit. The library is available free of charge over the Internet. Versions are provied for Macintosh, UNIX and Windows machines.

PSK信号的产生并且基于NANDI经典算法的信号识别的程序(Generating and signal recognition based on classical algorithm NANDI program PSK signals)

一个用matlab编写的时钟程序，包含了数字钟和传统显示的圆形中，背景是可爱图片。运行时和电脑同步。(a program on a clock which contains a traditional clock and a numerical one，with a lovely background picture。when the program runs ，the clock will keep the pace with the correct time of the computer。)

画电偶极子等势面，电偶极子的三维等势面，可以改变x，y值(Painting equipotential surface dipole)

运用matlab语言基于极大似然估计法对非负二项进行拟合的小程序(Matlab language use based on maximum likelihood estimation method for two non-negative small-fitting procedures)

用BP网络逼近某曲线函数，在神经网络中邮广泛的应用 是系统辨识的基础。 通过反馈来不断的调整系数，限制了最大循环次数 防止进入死循环，当然如果想要得到更精确的系数可以增大循环次数。 (Using BP network function approximation to a curve, mail is widely used in neural network is the basis of system identification. Through feedback to constantly adjusted factor, limit the maximum cycle times to prevent into dead circulation, and of course if you want to get a more accurate coefficients can increase the cycles.)

短时傅里叶变化的程序， 可以2d显示，也可以3d显示，短时傅里叶变化的结果。(Short-time Fourier transform of the process, can be 2d show can also be 3d shows the result of short-time Fourier transform.)

求线性方程组的列主元Gauss消元法，基于MATLAB开发(Linear Equations of the column pivot Gauss elimination method, developed based on MATLAB)

计算SENSE重建图像中的g-factor,这是并行磁共振成像SENSE算法的关键一步(G-factor is the metric to quantify the amplificaiton of noise power in reconstructing SENSE accelerated image. The detail was presented in Pruessmann s 1999 Magn. Reson. Med. paper. In theory, g-factor is the pixel-by-pixel ratio of the image variance between the SENSE reconstructed image and un-accelerated image. And g-factor depends on: (1) the k-space data trajectory (2) coil sensitivit profiles (3) noise covariance matrix of the array coil)

BER versus SNR performance for wireless communications