SAR-CSA(matlab)

产生两个远程的发送信号,采用归一化处理使其中一个信号有时延,然后求两个接收信号的高阶累积量.(have two long-distance signal transmission, is used to make a treatment in which a signal delay, Then the received signal for the two Cumulant.)

介绍了m 序列和Gold 序列的原理、性能和构造方法，接着在MATLAB 中用M 语言编程实现它们的产生和分析。(Describes the m-sequence and Gold sequence of principle, performance and construction methods, and then using M language in MATLAB programming their generation and analysis.)

OFDM第一版（经典课件）有大量详细的关于OFDM的讲解(OFDM first edition (the classic courseware) a large number of detailed explanation on the OFDM)

说明：  Adaboost集成学习算法 matlab代码(Adaboost)

本书实现了基于Matlab 与Excel 的实验数据自动处理，有助于完成自动化测试(Based on the book to achieve the automatic processing of the experimental data with Excel, Matlab, helps automate the testing)

The channel modeling work package WP1 of IST-WINNER project provided a Matlab implementation of the WINNER Phase II Model (referred as WIM this onward). The main purpose of the WIM channel models is to generate a radio channel realisations for a link and system level simulations. The implementation is based on the earlier implementations of WINNER II interim model [6], WINNER I (interim) model [3], 3GPP/3GPP2 Spatial Channel Model (SCM) [4] and SCM(E) Extension models. For details concerning the WIM model, please refer to [1]. This document describes the SW implementation structure of WIM, its input/output interface and its functionality. Channel model scenarios and parameters are modified to correspond to IMT.EVAL [7] channel model.

routine to take the Fourier transform of a signal and plot both the time and frequency domain representations. Typical use: >> n = 100 number of data points >> dt = 0.01 spacing between samples >> t = 0:dt:(n-1)*dt time vector >> y = sin(2*pi*10*t) 10 Hz sin wave >> fft_plot(y,dt) plot of signal in time and frequency domain

说明：  这是我们学校老师上课时用的课件，其中有一些程序代码(This is our teachers to use the courseware in class, some of which code)

经典应用例子，可以供大家学习参考使用，其中大部分是验证过的(Classic application examples)

包括MATLAB的代码:MIMLSVM+和E-MIMLSVM+(MIMLdros includes the MATLAB codes of MIMLSVM+ and E-MIMLSVM+ which are MIML algorithms that have been applied to drosophila gene expression pattern annotation. The package contains a Readme file which explains how to use it.)