matlabcommunicationsimulation

Using Cuk Converter model

该链路仿真了OFDM系统在克服瑞丽多径衰落的影响中性能，并使用了理想信道估计。(The link of the OFDM system simulation Ruili in overcoming the effects of multipath fading in the performance and the use of an ideal channel estimation.)

说明：  合成孔径雷达系统MATLALB模拟实现源码。(Synthetic aperture radar system simulation MATLALB realize source.)

非常适合初学者的的matlab通信原理入门书，很多学校都用这个做教材！(Matlab Communication Theory Primer is ideal for beginners, many schools have done with this material!)

This file includes demodulation example that who is using and studying the matlab simulink. I hope this zip file would be helpful for them.

导入统计套利品种的计算过的残差（要平稳）命名为resid文件，残差低于两个标准差买入，高于两个标准差卖出，计算买入和卖出点、次数以及收益，比较简单的一个小程序。(Calculation of statistical arbitrage varieties imported over residuals (to smooth) file named resid residuals less than two standard deviations to buy, sell higher than two standard deviations to calculate buy and sell points, the number and income , a relatively simple applet.)

数值计算中SOR迭代法的Matlab程序(numerical calculation SOR iteration of the Matlab program)

数字通信系统的t-EBPSK的调制与解调，功率谱密度的绘制，以及误码率曲线(Digital communication system t-EBPSK modulation and demodulation, the power spectral density plotted, and BER curves)

matlab 高校编程技巧与应用：25个案例分析的源代码(matlab college programming skills and application source code: 25 Case Studies)

ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points. Ordinary usage: [R, T] = icp(model,data) INPUT: model - matrix with model points, data - matrix with data points, OUTPUT: R - rotation matrix and T - translation vector accordingly so newdata = R*data + T . newdata are transformed data points to fit model see help icp for more information (ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points. Ordinary usage: [R, T] = icp(model,data) INPUT: model- matrix with model points, data- matrix with data points, OUTPUT: R- rotation matrix and T- translation vector accordingly so newdata = R*data+ T . newdata are transformed data points to fit model see help icp for more information )