GABOR-(2)

何友教材《多传感器数据融合及其应用》课后仿真经典场景(What Friends of the textbook " multi-sensor data fusion and its applications," Simulation of the classic after-school scene)

说明：  Isomap的改进算法，速度较快。包括了一个瑞士卷生成程序和dijk距离算法。(Improved Isomap algorithm faster. Includes a volume generator and dijk Switzerland distance algorithm.)

使用matlab编写的将图片转换成avi视频的源程序代码，经本人在matlab2013b测试通过，低版本不一定适用，可以更改每秒播放的图片帧数(Using matlab to convert image to avi video source program code, via oneself in matlab2013b tests pass, low version does not necessarily apply, you can change the broadcast pictures of frames per second )

在http://elib.zib.de/pub/Packages/mp-testdata/tsp/tsplib/tsp/上下载eil51地图，以eil51.tsp与源程序存在一起(at http :// elib.zib.de/pub/Packages/mp- testdata/t sp/tsplib/tsp/eil51 download maps, eil51.tsp to exist together with the source)

运用MATLAB编程实现歌曲“最炫名族风”节奏的产生。(Using MATLAB programming song " most unusual family name wind" rhythm generation.)

说明：  经验模态分解（Empirical Mode Decomposition，简称EMD))方法被认为是2000年来以傅立叶变换为基础的线性和稳态频谱分析的一个重大突破，该方法是依据数据自身的时间尺度特征来进行信号分解，无须预先设定任何基函数。这一点与建立在先验性的谐波基函数和小波基函数上的傅里叶分解与小波分解方法具有本质性的差别。(Empirical mode decomposition (EMD) method is considered as a major breakthrough in linear and steady-state spectrum analysis based on Fourier transform since 2000. This method decomposes signals according to the time scale characteristics of the data itself, without setting any basis function in advance. This is essentially different from Fourier decomposition and wavelet decomposition based on prior harmonic basis function and wavelet basis function.)

该算法实现了拉格朗日插值并比较了龙格现象(The Lagrange interpolation algorithm and compared the Runge phenomenon)

An Ant Colony Algorithm for Multiuser Detection in Wireless Communication Systems(An Ant Colony Algorithm forMultiuserDetection in Wireless Communication Systems)

很有用的一本工具书，强烈推荐。 对matlab上手很有用(a very good book to study matlab)

以动画的方式绘制出对数螺线 的图形，并用一个红色小球来跟踪螺线展开轨迹 以及积分过程(Graphics animation way to draw a logarithmic spiral, and a small red ball to keep track of the spiral to expand the track as well as integrating processes)