image-segmentation

Hi Friends. This is simple Image code of Arithmetic mean filtering operation,which results in smoothing of image. Default image size is 256 x 256

本文 主 要 研究的是Gab。:小波神经网络算法及其在灰度图像目标识别 中的应用。研究涉及神经网络理论、小波分析理论和小波神经网络理论及其 它们在目标识别中的应用技术。(This paper is Gab. : Wavelet neural network algorithm and its gray-scale image recognition applications. Research involving neural network theory, wavelet analysis theory and wavelet neural network theory and their recognition in the target application technology.)

说明：  二段桥的搭建方法，简单明了，看了还想看，不看后会…………(Bridge Sec)

本文使用三维FDTD算法实现文献《Application of the three_Dimensional Method to the analysis if Planar Microtrip Circuits》IEEE trans. On MTT 1990 38(7)的一个矩形微带贴片天线的S11参数的计算。采用MATLAB编程完成数值计算，并与文中的结果进行了比较。(This three-dimensional FDTD algorithm using the document " Application of the three_Dimensional Method to the analysis if Planar Microtrip Circuits" IEEE trans. On MTT 1990 38 (7) of a rectangular microstrip patch antenna of the S11 parameter of the calculation. Complete the numerical calculation using MATLAB programming, and with the text of the results were compared.)

新发表论文：一种新的基于二值水平集和形态学的局部分割方法，附源码，欢迎下载。(Published papers: A new local segmentation method based on the binary level set and morphology, with a source, are welcome to download.)

LabView vi as an example

this the ebook which has most of the functions of Matlab.(this the e-book which has most of the funct ions of Matlab.)

turbo 编译码，采用网格编码调制方式，并且成功地在大气激光通信中得到应用。调制部分自己编写，可直接运行，有助于学习turbo-TCM。都是压缩包形式，里面有多个程序和函数。(turbo encoding and decoding, using trellis coded modulation, and successfully applied in atmospheric laser communication. Modulated part of their preparation, can be run directly, will help you to learn turbo-TCM.)

功率谱估计，包括窗口效应的功率谱估计的matlab程序及PPT、及各种估计方法的介绍(Power spectrum estimation, including window effect of power spectrum estimation of matlab and PPT, and the introduction of various estimation methods )

matlab编写的多示例多标记分类程序，采用miSVM算法，svm做分类器，其中附有各个调用函数，和作为例子的数据和主程序，可以运行，可以多多示例多标记样本进行分类。(matlab prepared multi-instance multi-label classification procedures, using miSVM algorithm, svm do classifier, which function with each call, and as an example of the data and the main program, you can run, you can sample a lot of examples of multi-label classification.)