One-dimensional-phononic-crystal

simulink的例子 包括源 接收器等 很多 很全哦(simulink examples include the source of the receiver is wide Oh, and many other)

精通MATLAB神经网络 第18章 (part 18 )

自己编写的联合概率数据关联算法，适合研究目标跟踪的朋友，附带算法分析。(JPDA algorirhm written by myself,which is helpful for who study target tracking,and the analysis is also given.)

ofdm系统中LS信道估计，QPSK调制，模拟瑞利信道，能运行出误码率图形。(LS channel estimation in OFDM system, QPSK modulation, analog Rayleigh channel can run a bit error rate graphics.)

介绍利用MATLAB进行电路分析的电子书，Steven T. Karris著，2003年出版(Circuit Analysis II with MATLAB)

说明：  matlab写的用于时间序列预测的AR模型的程序，对于线性的时间序列效果还是可以的。(Matlab written procedures for time series forecasting AR model, the linear effect of time-series.)

介绍一种有关卫星通信信号的快速盲检测方法(satellite communication signals quick blind detection)

有关于图像的区域处理的MATLAB软件,已经上机运行过,对MATLAB编程非常有用(Area on the image processing MATLAB software has been running on the machine before, is very useful for MATLAB programming)

基于matlab编程，仿真。matlab编程百例有助于熟悉matlab基本编程命令，最好成为编程高手。小数据量法求lyapunov指数源程序，可以减轻做混沌控制与同步研究的编程苦恼。(Matlab-based programming, simulation. 100 cases of familiar programming matlab help matlab command of basic programming, preferably as a programming expert. Method of small amount of data source lyapunov index can be done to alleviate study of chaos control and synchronization of programming distress.)

The fusion of images is the process of combining two or more images into a single image retaining important features from each of the images. A scheme for fusion of multi-resolution 2D gray level images based on wavelet transform is presented in this paper. If the images are not already registered, a point-based registration, using affine transformation is performed prior to fusion. The images to be fused are first decomposed into sub images with different frequency and then information fusion is performed using these images under the proposed gradient and relative smoothness criterion. Finally these sub images are reconstructed into the result image with plentiful information. A quantitative measure of the degree of fusion is estimated by cross-correlation coefficient and comparison with some of the existing wavelet transform based image fusion techniques is carried out.