matlab

the ESPRIT DOA estimation program

通过仿真和分析对比SCFDMA的性能和算法。This is a very simple baseband simulator for SC-FDMA system. This simulator is part of the upcoming book “Single Carrier FDMA: A New Air Interface for Long Term Evolution” (Wiley, Nov. 2008) which I co-authored with professor David J. Goodman at Polytechnic University. The purpose of this simulator is to give some concrete idea of how SC-FDMA system works. It does lack many realistic and sophisticated features such as channel coding, time-varying fading channel model, soft decision decoding, etc. Regardless, I am hoping that it will help you understand SC-FDMA which is a fairly new development in 3GPP LTE. For information on SC-FDMA, go to SC-FDMA resource website at http://hgmyung.googlepages.com/scfdma. If you have any question, comment, or feedback, please visit the SC-FDMA discussion forum at http://scfdma.freeforums.org/ and leave your comment.(This is a very simple baseband simulator for SC-FDMA system. This simulator is part of the upcoming book “Single Carrier FDMA: A New Air Interface for Long Term Evolution” (Wiley, Nov. 2008) which I co-authored with professor David J. Goodman at Polytechnic University. The purpose of this simulator is to give some concrete idea of how SC-FDMA system works. It does lack many realistic and sophisticated features such as channel coding, time-varying fading channel model, soft decision decoding, etc. Regardless, I am hoping that it will help you understand SC-FDMA which is a fairly new development in 3GPP LTE. For information on SC-FDMA, go to SC-FDMA resource website at http://hgmyung.googlepages.com/scfdma. If you have any question, comment, or feedback, please visit the SC-FDMA discussion forum at http://scfdma.freeforums.org/ and leave your comment.)

The archive contains the code is implemented in Matlab one of the most well-known cryptographic symmetric algorithms - Algorithm DES (data encryption standard).

Linera filtr (gaussian smoothing)

Example of use Matlab to implementation Q-Learning.

matlab 中实现一个四叉树的结构,使用递归过程，整合成一次二向遍历(secure yourself with a simple quadtree in matlab)

粒子滤波的matlab程序，下的非常详细，能够直接运行，初学者的福音(particle filter ，can run directly)

matlab仿真的M文件，一个很简单的仿真程序，与大家一起学习。希望能学到更多的东西 (matlab simulink)

独立成份分析（ＩＣＡ）以及ｗｉｎｎｅｒ滤波 Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S + N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...( Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S+ N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...)

simple samples matlab(matlab easy introduction)