rbf_1_02

《matlab神经网络43个案例分析》源码26，BP神经网络的分类——乳腺肿瘤诊断 ( Matlab neural network 43 Case Studies Source 26, BP neural network classification- breast cancer diagnosis)

MATLAB在振动信号处理中的应用一书对应章节代码，亲测可用(MATLAB vibration signal processing in the application of a Book corresponding chapter code, pro test available)

matlab 天线和电磁分析工具箱 matlab electromagnetic and anntena(antenna and electromagnetic analysis matlab toolbox matlab electromagnetic and anntena)

基于fht的匹配追踪算法，算法速度要比fft快很多，提高了一个数量级(Fht based matching pursuit algorithm, the algorithm much faster speed than fft, an order of magnitude increase)

sensitivity calculus : output variation vs parameter variation

simple relay placement in wimax will give better results .this source code compare simple relay with norelay.

本书专为大学自动控制、机械电子、机械制造与自动化、电力电气、通信工程等专业大 学本科生、研究生、教师、科技工作者编写。本书力图将信号分析与处理、信号与系统、数字 信号处理、工程测试等有关教学内容和MATLAB语言紧密、有机地结合起来，使学生在 学习基础理论知识的同时学会应用MATLAB，在学习应用MATLAB的同时，加深对基 础知识的理解，增强学生的计算机应用能力，提高教学效果。本书编入大量MATI‘AB应 用程序，每章也有一定的数量习题，供读者能尽快掌握MATLAB的编程技巧。(This book is designed for the University of automatic control, mechanical, electronic, mechanical manufacturing and automation, electrical power, communications, engineering and other professional undergraduates, graduate students, teachers, scientists and write. This book seeks to signal analysis and processing, signals and systems, digital signal processing, engineering, testing and other relevant teaching content and MATLAB language closely, organically combine to make the students learn basic theoretical knowledge at the same time learn to use MATLAB, MATLAB in learning applications at the same time, deepen their understanding of the basics, enhance their computer skills to improve teaching effectiveness. Incorporated into the book a lot MATI' AB applications, each chapter there is a certain number of exercises for the reader can quickly grasp the MATLAB programming skills.)

this program treat image processing and segmentation methods and can help for functions which concern segmentation, snakes (active contours)

对旧金山海岸的极化SAR数据进行分类。根据图像像素点的散射特性采用Freeman分解对图像进行分类，利用wishart聚类算法聚类。最后得到极化sar数据的分类结果。保证了图像的极化特性和散射特性(Polarimetric SAR data to classify the coast of San Francisco. Freeman decomposition using the image classification, clustering clustering algorithm based on the use of wishart scattering characteristics of the image pixels. The last classification results obtained polarization sar data. To ensure that the polarization characteristics of the image and scattering properties)

经验模态分解(Empirical Mode Decomposition,EMD)法是黄锷(N. E. Huang)在美国国家宇航局与其他人于1998年创造性地提出的一种新型自适应信号时频处理方法，特别适用于非线性非平稳信号的分析处理。(Empirical Mode Decomposition)