Antenna-Design

列主元消去法解线性齐次方程组的matlab程序(Column principal component elimination method for solving linear homogeneous equations matlab program)

ksvd字典学习算法和改进的ksvd字典学习算法，并自动计算psnr。(ksvd dictionary learning algorithm and improved ksvd dictionary learning algorithm and automatically calculates psnr.)

Matlab图形图像处理函数，相当有用，对图象处理的朋友帮助很大哦(Matlab graphics image processing function, very useful for image processing friends helped oh)

图像的直方图的表示方法以及其具体matlab实现代码(Histogram representation, and their specific implementation code matlab)

MATLAB案例程序集锦，有助于新手入门学习，起辅助作用(Case Highlights MATLAB programto help beginners learn, play a supporting role)

基于MATLAB的岩体地质2维结构面网络模拟代码。(Based on MATLAB rock geological 2-dimensional network simulation code.)

模拟电缆局部放电simulink仿真。可用于信号特征量提取和分析之用。(Analog cable partial discharge simulink simulation. It can be used to signal feature extraction and analysis.)

说明：  经典书籍 剑桥大学大学出版社： 无线通信基础(Book Description: The past decade has seen many advances in physical layer wireless communication theory and their implementation in wireless systems. This textbook takes a unified view of the fundamentals of wireless communication and explains the web of concepts underpinning these advances at a level accessible to an audience with a basic background in probability and digital communication. Topics covered include MIMO (multi-input, multi-output) communication, space-time coding, opportunistic communication, OFDM and CDMA. The concepts are illustrated using many examples from real wireless systems such as GSM, IS-95 (CDMA), IS-856 (1 x EV-DO), Flash OFDM and UWB (ultra-wideband). Particular emphasis is placed on the interplay between concepts and their implementation in real systems. An abundant supply of exercises and figures reinforce the material in the text. This book is intended for use on graduate courses in electrical and computer engineering and will also be of great interes)

分析灰色预测模型基本原理的基础上，利用MATLAB强大的矩阵功能，用MATLAB实现灰色预测GM(1，1)模型算法，并通过实例分析验证了程序的准确性和可靠性。(Grey forecasting model of the basic principle, using the powerful MATLAB matrix functions, with the MATLAB implementation Grey GM (1,1) model algorithm, and an example of program verify the accuracy and reliability. )

This program alows you to add noise to a source and the remove the noise by filtering.