test_1

计算三元一次方程组 12x+41y+52z=132 23x+12y+32z=113 76x+37y+15z=176 (The calculated ternary equations 12x+41y+52z = 132 23x+12y+32z = 113 76x+37y+15z = 176)

demonstration of viterbi decoding using trace-back

针对二值图像的广泛应用，嵌入鲁棒性水印，测试其抵抗结合攻击的能力。(value against the wider use of images, embedded watermark robustness testing their resistance combination attacks.)

车牌定位原代码，具有较好的定位功能，实时性较好(License plate location of the original code, and has good positioning capabilities, better real-time)

This demo nstrates 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. (This demo nstrates 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. )

画poincaremap and bifurcation 图(Draw images of various differential equations and poincaremap image, bifurcation images, gui form)

一维波动方程的反演，和成图以及其他功能。(One-dimensional wave equation inversion, and mapping and other features.)

不同的ESPRIT算法，包括总体最小二乘ESPRIT算法，最小二乘ESPRIT算法。(different ESPRIT algorithm,including TLS-ESPRIT algorithm and LS-ESPRIT algorithm.)

程序用matlab实现了模糊c均值聚类问题。将大量数据分成几种类型(Program using matlab realize the fuzzy c-means clustering problem. The large amounts of data into several types of classes)

digital signal processing labs