Electronics-a-Communication-Engineering-pdf

Magnetic resonance (MR) images can be used to detect lesions in the brains of multiple sclerosis (MS) patients and is essential for diagnosing the disease and monitoring its progression. An automatic method is presented for segmentation of MS lesions in multispectral MR images. Firstly a PD-w image is subtracted its corresponding T1-w image to get an image in which the cerebral spinal fluid (CSF) is enhanced. Then based on kernel fuzzy c-means (KFCM) algorithm, the enhanced image and the corresponding T2-w image are segmented respectively to extract the CSF region and the CSF combining MS lesions region. A raw MS lesions image is obtained by subtracting the CSF region CSF combining MS region. By applying median filter and thresholding to the raw image, the MS lesions are detected finally. Results are quantitatively uated on BrainWeb images using Dice similarity coefficient (DSC). Finally, the potential of the method as well as its limitations are discussed.

UWB信号的组合操作，该代码是基于MATLAB进行编程的。对UWB信号的combination有指导意义(UWB combination)

This is a pdf filw of the course Nonlinear Programming in MIT

说明：  生成PI的一个小程序 可以精确掉小数点后几百位。 (PI generated a small program can accurately swap places after the decimal point a few hundred.)

基于matlab的一个无线通行系统（Wireless）的csma仿真(Based on the matlab a Wireless traffic system (Wireless)carrier sense multiple access simulation)

files needed to read from text and to update output channels

学进一步了解分类器的设计概念，能够根据自己的设计对线性分类器有更深刻地认识，理解Fisher准则方法确定最佳线性分界面方法的原理，以及Lagrande乘子求解的原理。(school with a better understanding of classification of the design concept, According to the design of linear classification for a more profound understanding, Fisher understood the criteria to determine the best method of linear interface of the theory, Lagrande and multiplier for the principle.)

《信号与系统》计算机练习·《信号与系统》计算机练习：利用MATLAB_7.0()

实现了1D,2D,3D空间自由度下的运动参数的扩展Kalman滤波算法，文章2008 IROS Visual SLAM for 3D Large-Scale Seabed Acquisition Employing Underwater Vehicles的具体实现。(a novel technique to align partial 3D reconstructions of the seabed acquired by a stereo camera mounted on an autonomous underwater vehicle. Vehicle localization and seabed mapping is performed simultaneously by means of an Extended Kalman Filter. Passive landmarks are detected on the images and characterized considering 2D and 3D features. Landmarks are re-observed while the robot is navigating and data association becomes easier but robust. Once the survey is completed, vehicle trajectory is smoothed by a Rauch-Tung-Striebel filter obtaining an even better alignment of the 3D views and yet a large-scale acquisition of the seabed.)

说明：  功率放大器无记忆模型saleh的MATLAB程序(Memoryless Saleh model power amplifier of the MATLAB program)