bpskm

This is amatlab code fo compression with psychoacoustique

切比雪夫滤波器，可以很好的实现滤波功能。(Chebyshev filter, can achieve very good filtering.)

基于matlab的ccir传播模型的路径损耗的仿真的程序，此程序可以在matlab上清晰的看见仿真的图形。(Based on the matlab ccir propagation models of path loss of simulation program, the program can clear to see in matlab simulation graphics.)

说明：   该程序在matlab-simulink环境下执行，名为classpiddistb2.mdl，(经典PID的扰动测试)，本人发前期发.m格式文件(NNPIDDistub2.m为神经网络动态pid抗绕程序)，本程序为前期程序的比较程序，已发于本人论文，可供借鉴和学习。(The program matlab-simulink environment, implementation, called classpiddistb2.mdl, (classical PID disturbance test), I made pre-made. M format (NNPIDDistub2.m for the neural network dynamic pid anti-around program), this procedure pre- The Comparative procedures have been made in my paper, for reference and learning.)

caalcul fourier series in matlab

lms和rls自适应算法的均衡器的设计，包括原理和仿真结果(lms and rls adaptive equalizer algorithm design, including schematics and simulation results)

Toeolitz矩阵的相乘程序，实现Toeplitz矩阵的相乘操作(matlab program for toeplitz matrix multiplication)

flexible sigma delta adc

文章展示了基于高斯混合模型的语音频谱预测方法。频谱预测可能在传包过程中预防丢包这方面起到大作用。期望最大化算法用两倍或三倍的连续语音因素来测试模型。模型被用来设计第一，儿等指令预测量。预测表用频谱分配状态来估计并和一个简单的参考模型对比。最好的预测表得到一个平均频率扭曲值是0.46dB小于参考模型(This paper presents methods for speech spectrum prediction based on Gaussian mixture models. Spectrum prediction may be useful in a packet transmission system where the sensitivity to packet losses is a major problem. Models of speech are trained by the Expectation Maximization algorithm using pairs, triples etc. of consecutive cepstral vectors. The models are used to design first, second etc. order predictors. The prediction schemes are evaluated using the spectral distortion criterion and compared to a simple reference method. The best prediction scheme obtains an average spectral distortion that is 0.46 dB less than for the reference method. )

本文件中包含的代码是使用Bayesian compressive sensing 理论对图像降噪，修复的程序(his package includes 4 folders. Folder toydata contains core code and demo of the original BRPCA Model Folder MarkovDependency contains core code and demos of the modified BRPCA Model with Markov dependency employed Folder NonstationaryNoise contains core code and demos of the modified BRPCA Model with Markov dependency employed and the noise variances are different from contuguous frames. Folder Videodata contains the video data used by the experiment.)