fdtd_2d_TM_3

实现带有再采样步骤的rjmcmc算法，并用算例证明其性能。(To achieve with the re-sampling step rjmcmc algorithm, and use examples to prove its performance.)

分形算法与程序设计Visual C++实现完整版。介绍了许多分形算法，并给出了算法实现的关键部分。(To realize the full version of fractal algorithm and program design of Visual C++. Introduced many fractal algorithm, and gives the key part of the algorithm to achieve.)

An ad-hoc network with a sender, a destination and a third station act- ing as a relay is analysed. The channels are modelled containing thermal noise, Rayleigh fading and path loss. Di® erent combining methods and di- versity protocols are compared. The amplify and forward protocol shows a better performance than the decode and forward protocol, unless an error correcting code is simulated. To combine the incoming signals the chan- nel quality should be estimated as well as possible. Information about the average quality shows nice bene¯ ts, and a rough approximation about the variation of the channel quality increases the performance even more. What- ever combination of diversity protocol and combining method is used second level diversity is observed. The relative distances between the relay and the stations has a large e® ect on the performance.

在MATLAB仿真中实现自定义函数rscale的功能实现(mplementing a custom function rscale function realization in MATLAB simulation)

matlab 无功电流检测 ip-iq法(matlab reactive current detection ip-iq method)

相位解缠是INSAR数据处理的重要步骤，本文用基于FFT的最小二乘法实现实现相位解缠(Phase unwrapping)

这是一个非常好的mpsk仿真程序。其中包括BPSk，QPSK，8PSK,16PSK的BER和EB/N0曲线，SER和ES/N0曲线。(This is a very good MPSK simulation program. Including BPSk, QPSK, 8PSK, 16PSK the BER and EB/N0 curve, SER and ES/N0 curve.)

Matlab源程序：MMSE Receiver for DS-SS in AWGN Channel！希望对大家有帮助。(Matlab source : MMSE Receiver for DS-SS in AWGN Channel! We want to help.)

说明：  在MATLAB上所使用的PCA程序，主要應用於過濾相對較不重要的特徵值(dimension)，例如在三度空間的某些點具有(x,y,z)值，因為這些點有共同的一個持徵，就是z值相對於x,y值來得小很多(不明顯)，所以就以X,Y軸來表示這些點。此時就達成去除掉z的特徵值(dimension)。 (MATLAB used in the PCA procedure, mainly used in filtering relatively unimportant eigenvalue (dimension), for example, in some points with three-dimensional (x, y, z) values, because these points have a common one sign holders, that is, z values compared with the x, y values much smaller than (not obvious), so on to X, Y axis to express these points. Reached at this time to get rid of z eigenvalues (dimension).)

利用libsvm在matlab中实现分类功能，简单好记(Libsvm matlab classification function to remember)