TE_HORN

3 plane wave to solve band structure

this is matlab code for perceptron

turbo码的matlab仿真程序，可以参考看看，希望对您有用(turbo codes matlab simulation program, you can reference to see the hope that useful to you)

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.)

乘子迭代过程，五个文件,实现迭代运算，有效提高性能(Multiplier iteration process ONE，Implement iterative operation, effectively improve the performance to realize iterative operation, effectively improve the performance)

采用时频聚集性较好的线性调频信号作为线性时不变系统输入激励，采用Gabor字典作为过完备原子库。在利用传统系统辨识法之前先利用稀疏分解算法将输出信号进行去噪处理，显著提高系统辨识精度。 具体包括互谱算法，信号的Gabor稀疏分解的详细代码(Space can be a time for sparse decomposition to solve the problem of huge memory needed。This approach, combined with the rapid decomposition of FFT for signal ,so as to achieve satisfactory results.)

这个程序是我做“化工过程综合与优化”课程设计时编写的。主要用于换热器设计的计算，含有注释。 (This code can be used to design the heat exchanger.)

topsis代码我看了没有什么问题如果有问题请与我联系(topsis code I saw no problem if you have questions please contact me)

使用主成分分析法（PCA, Principal Component Analysis）进行颜色转换(Color Transfer)的Matlab程序(Function to implement the Color Transfer using PCA (Principal Component Analysis).)

选择五个不同频段的信号对其进行频谱分析，根据信号的频谱特征设计五个不同的数字滤波器，将五路信号合成一路信号，分析合成信号的时域和频域特点，然后将合成信号分别通过设计好的五个数字滤波器，分离出原来的五路信号，分析得到的五路信号的时域波形和频谱，与原始信号进行比较，说明频分复用的特点。(To select one of five different band signal spectrum analysis and design of five different digital filter based on the spectral characteristics of the signal, the the Rd signal synthesizing all the way to the signal analysis in time domain and frequency domain characteristics of the synthesized signal, and then the synthesis signal by five digital filter designed, separated original signal Rd, the time-domain waveform and spectrum analysis the Rd signal is obtained, to be compared with the original signal, the frequency division multiplexed with the characteristics.)