GMSK信号的产生和解调的MATLAB实现

PEG algorithm for LDPC codes

design and implementation of feedforward neural network with BP training algorithm.(include the GUI)

book for HHT Hilbert—Huang Transform and Its Applications Editors Norden E Huang NASA Goddard Space Flight Center, USA Samuel S P Shen University of Alberta, Canada [p World Scientific Published by World Scientific Publishing Co. Pte. Ltd. 5 Toh Tuck Link, Singapore 596224 USA office: 27 Warren Street, Suite 401-402, Hackensack, NJ 07601 UK office: 57 Shelton Street, Covent Garden, London WC2H 9HE Library of Congress Cataloging-in-Publication Data The Hilbert-Huang transform and its applications / editors, Norden E. Huang, Samuel S.P. Shen. p. cm. — (Interdisciplinary mathematical sciences v. 5) Includes bibliographical references and index. ISBN 981-256-376-8 (alk. paper) (book for HHT Hilbert—Huang Transform and Its Applications Editors Norden E Huang NASA Goddard Space Flight Center, USA Samuel S P Shen University of Alberta, Canada [p World Scientific Published by World Scientific Publishing Co. Pte. Ltd. 5 Toh Tuck Link, Singapore 596224 USA office: 27 Warren Street, Suite 401-402, Hackensack, NJ 07601 UK office: 57 Shelton Street, Covent Garden, London WC2H 9HE Library of Congress Cataloging-in-Publication Data The Hilbert-Huang transform and its applications/editors, Norden E. Huang, Samuel S.P. Shen. p. cm. — (Interdisciplinary mathematical sciences v. 5) Includes bibliographical references and index. ISBN 981-256-376-8 (alk. paper) )

关于信号处理方面的内容，在matlab编程实现时详细解答(Signal processing on the content of programming in matlab to answer in detail)

matlab单枝节阻抗匹配单枝节阻抗匹配单枝节阻抗匹配(One minor impedance matching matlab)

维纳自适应滤波设计及Matlab实现，一份word文档，希望会有用。(We simply analyses the wiener2 () which is a adaptive filter in MATLAB.)

球面尺度空间特征点提取，主要用于全景相机，基于LInux系统。编译环境unbuntu10.04，软件用的是gcc4.1，以及matlab09.Unix 

实现信号的上变频和信号的下变频，经过仿真实验后确定正确。(Signal up-conversion and signal down-conversion, and after a simulation to determine the correct.)

说明：  In this paper, a new scaling-based image-adaptive watermarking system has been presented, which exploits human visual model for adapting the watermark data to local properties of the host image. Its improved robustness is due to embedding in the low-frequency wavelet coefficients and optimal control of its strength factor HVS point of view. Maximum-likelihood (ML) decoder is used aided by the channel side information. The performance of the proposed scheme is analytically calculated and verified by simulation. Experimental results confirm the imperceptibility of the proposed method and its higher robustness against attacks compared to alternative watermarking methods in the literature

求解任意区域上的二元函数的二重积分，功能强大实用方便！(Solving binary function on any area of ​ ​ the double integral, powerful practical and convenient!)