JIN

helps to code using the lossless and lossy forms of rle coding. is specially helpful for fast algorithmic development. there are 2 codes provided.

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. )

说明：  代码主要实现超分辨率图像恢复，采用图形界面，可自主选择要处理的图像(Code key to achieve super-resolution image restoration, using a graphical interface, could choose to deal with image)

matlab中求解一维薛定谔方程中函数随时间的演化情况。(Selected to solve the one-dimensional Schrö dinger equation)

prob of detection vs prob of false alarm

三相逆变器空间矢量脉冲调制变换matlab仿真(Three-phase inverter space vector pulse modulation transform matlab simulation)

用BP神经网络优化模糊控制器，进行学习，系统有两个输入，输出误差曲线和期望曲线，BP学习误差曲线(BP neural network to optimize the fuzzy controller learning system has two inputs, the output error curve and expectations of the curve, the BP learning error curve)

雷达的一些基础函数，关于测距，DOPPLER频移计算，距离计算（雷达方程）(Basic function of the radar, ranging, DOPPLER frequency shift calculated distance calculation (radar equation))

晶闸管三相调压仿真模型，可用于tcr型svc。(Thyristor three phase voltage regulator simulation model can be used to the tcr type svc.)

数字水印在linux下面运行的代码，内有详细的注释说名(a watermarking program which can run under Linux. Attached with clear instructions.)