MFD

《MATLAB 程序设计与实例应用》，一本matlab编程的书籍，比较适合于初学者学习( MATLAB Program Design and examples of application, a matlab programming books, suitable for beginners to learn)

编写一个含QAM传输的发送和接收模块 1)分别采用复基带仿真和实带通仿真两种形式 a) 实带通仿真时, 载波频率为符号率的4倍 b)发端采用滚降系数0.5的根号升余弦滤波器 2)画出Eb/N0=15dB时的接收波形(收滤波前),取100个采样 3)画出发端输出的眼图和收端过匹配滤波后的眼图(画眼图时不加噪声) 统计误符号率和误比特率与Eb/N0的关系,画出曲线, 与理论计算的曲线相对比 (Prepare to send of one with QAM transmission and receiver module 1), respectively, the complex baseband simulation and the real band-pass simulation in two forms a) the real band-pass simulation, the carrier frequency used for the symbol rate of 4 times b) the originator roll-off factor of 0.5 root raised cosine filter, 2) draw Eb/N0 = 15dB when the received waveform (closing filter), take 100 samples) to draw the originator of the output eye diagram and income side of the eye diagram after the matched filter ( draw the eye diagram without noise) statistics symbol error rate and bit error rate and Eb/N0, draw a curve calculated with the theoretical curve compared)

语音的端点检测 噪声可以自己加 使用阈值进行检测 能量的阈值跟据经验来进行决定(Speech endpoint detection noise can add to the threshold detection energy threshold according to experience to the decision)

一维声波动 采用FDTD进行编程，代码超简单(1D FDTD)

with or without modification, are permitted provided that the following conditions are met

人工神经网络实例，我运行结果正确。可用于RBF数值预测(Artificial neural network example, I run the correct result. Numerical forecast for RBF)

小波阈值去噪的程序，实现对图像的去噪，也可以用于对简单的语音和其它信号(Wavelet threshold denoising procedures)

说明：  利用模拟信号对能量法进行验证，主要求解振幅值，能量值，频率包络值(Analog signal on the energy method used to verify, mainly to solve the amplitude value, energy value, the value of the frequency envelope)

This package was used was aircraft landing simulation. Its code implements algorithms, that detect objects on planes runway: vehicles, people, animals. Analizes black&white image from infrared camera (folder containes just Photoshop images), detects objects, highlights them and informs pilot of possible risks.

王兴刚和白翔合作发表的CVPR2011的文章， Feature Context for Object Detection and Image Classification，可以用于物体检测和图像的分类，用到了特征上下文，Feature Context(PROCEEDINGS and white Xiang cooperation the published CVPR2011 article Feature Context for Object Detection and Image Classification can be used for object detection and classification of the image, to use the features of the context, Feature Context)