2

雷达系统MTI延迟对消器实现程序，对理解雷达动目标检测很有帮助(MTI radar system delay cancellation in implementation process, is of great help to understand the radar moving target detection )

基于遗传算法的bp神经网络对基因芯片数据进行分类，能进行准确的分类，能运行。很实用(bp svm matlab)

CFAR融合检测程序示例，具体可参见何友的恒虚警检测那本书(The CFAR fusion detection program example)

In this paper, we investigate the timing and carrier frequency offset (CFO) synchronization problem in decode and forward cooperative systems operating over frequency selective channels. A training sequence which consists of one orthogonal frequency-division multiplexing (OFDM) block having a tile structure in the frequency domain is proposed to perform synchronization. Timing offsets are estimated using correlation-type algorithms. By inserting some null subcarriers in the proposed tile structure, we propose a computationally efficient subspace decomposition- based algorithm for CFO estimation. The issue of optimal tile length is studied both theoretically and through simulations. By judiciously designing the tile size of the pilot, the proposed algorithms are shown to have better performance, in terms of synchronization errors and bit error rate, than the time-division multiplexing-based training method and the computationally demanding space-alternating generalized expectation-maximization

说明：  三体问题粒子轨迹图。设正电荷在（-1，0）（1，0）处，电子初始位置根据设定。(three body problem. Positive particle is placed on （-1，0）（1，0）. This program will give the trace of the electron under selected initial position.)

实现curvelet变换的软件包,包括curvelet变换,逆变换等功能(performing curvelet transform and inverse transform)

说明：  本書完整的說明與充分的網路支援，可以使讀者能充分地掌握MATLAB的脈動，擁有解決工程問題的最佳利器,1-10章(A complete description of the book and the full network support, will enable readers to fully grasp the pulse of MATLAB, has to solve engineering problems in the best weapon, 1-10 Chapter)

这是我们的matlab与时频分析工具箱上下的程序，关于处理脑电波谱图与脑电波的源码(This is our Matlab and time-frequency analysis toolbox ish procedures, Regarding the handling of EEG Spectrum plans and the source of brain wave)

用最近邻法对数据进行分类，比较简单和基础的分类方法，可用于图像处理(With the nearest neighbor method for data classification, the classification of simple and basic method can be used for image processing)

Goal of the project was to use numerical methods for solving systems of ordinary differential equations (ODE) using MATLAB software. As in previous assignments first of all I had to research for algorithms, which would be helpful during evaluation of each task, later on I was able to implement and test numerical methods for solving given problems. Each student received electric circuit containing different elements to solve. Each task is presented under separated heading, with its full description, problem discussion, my approach for solving it and explanation.