LMSFLMS

matlab code for satelite simullation

K-SVD SPARSE REPRESENTATION 基于学习的稀疏表示图像分析方法，以去噪为例。(K-SVD SPARSE REPRESENTATION)

用迭代法求解线性方程组：主要是Jacobi迭代法和Gauss-Seidel迭代法关于MATLAB源程序(Iterative method for solving linear equations: Jacobi iteration, and is mainly Gauss-Seidel iteration method on MATLAB source code)

"ALGaE" A toolbox to generate LTE signals. Toolbox Version: 0.14 released 30-Oct-2011 (Stable) ReadMe.m version: 0.1 released 31-Oct-2011

DCT + DWT algorithm for data encrytion hiding

The state space model is nonlinear and is input to the function along with the current measurement. The function performs the extended Kalman filter update and returns the estimated next state and error covariance

Digital signal processing, Find peaks on ECG using threshold

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.)

用极点配置方法设计间接自校正控制系统，系统是已知结构已知参数，给定期望传递函数分母多项式(Indirect self-tuning control system design with pole placement method, the system is known structures known parameters, given the desired transfer function denominator polynomial)

matlab code on optimization