The Booth Tolls for Thee

可逆跳跃马尔科夫蒙特卡洛贝叶斯模型选择，主要用于神经网络(Reversible Jump MCMC Bayesian Model Selection This demo demonstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar-xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.)

search in array by binary search

压缩感知算法，里面有大量压缩感知训练算法(AMP1235675432134564321)

一般非线性规划的算法，适合于不使用矩阵的情况。(General nonlinear programming algorithm, for the case without matrix.)

640*480 256 色 .BMP 文件显示程序，可以浏览、同时显示 4 幅图象，也可以 在屏幕上开 一个窗口显示 .BMP 图象，并可以使用上下左右箭头键、PageUp/PageDown、Ctrl+Left、Ctr l+Right键浏览整幅图象，在S3、ATI等VGA卡上 调试通过(640* 480256 color. BMP file display program can browse, also showed four images on the screen can also open a window on the show. BMP images and can be used above and below the arrow keys, and Page/Prompt, Ctrl Left, Right keys Ctr l View the entire images in S3, ATI VGA cards such as debugging through)

《现代信号处理教程》中全部例子的Matlab仿真实现(" Modern signal processing tutorial example Matlab Simulation)

This paper helps in Blind Identification and Equalization of MIMO FIR Channels Based on Subspace Decomposition and Independent Component Analysis

说明：  小波阈值去噪的基本思想是先设置一个临界阈值λ，若小波系数小于λ，认为该系数主要由噪声引起，去除这部分系数;若小波系数大于λ，则认为此系数主要是由信号引起，保留这部分系数，然后对处理后的小波系数进行小波逆变换得到去噪后的信号。(The basic idea of wavelet threshold denoising is to set a threshold value of lambda first. If the wavelet coefficient is less than lambda, it is considered that the coefficient is mainly caused by noise and this part of the coefficient is removed. If the wavelet coefficient is larger than lambda, it is considered that the coefficient is mainly caused by signal, and this part of the coefficient is retained. Then the denoised signal is obtained by inverse wavelet transform of the processed wavelet coefficient.)

能够对所俩种采集的数据，把他们精确的区分开(Can to two of the data collected, and their precise separate)

包含wcdma的上下行链路仿真，适用于无线通信仿真开发和学习(Contains wcdma uplink and downlink simulation, simulation development for wireless communication and learning)