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[其他书籍] Digital-Communications

《数字通信》(第4版)是数字通信领域的一本经典教材,通过对概率论及随机过程的复习,详细介绍了数字和模拟信源编码、数字调制信号和窄带信号与系统的特征、加性高斯白噪声中数字通信的调制和最佳调制与检测方法、基于最大似然准则的载波相位估计和定时同步的方法、不同信道模型的信道容量及随机编码、带限信道的信号设计、受到符号间干扰恶化信号的解调与检测问题、自适应信道均衡、多信道与多载波调制、扩展频谱信号和系统、衰落信道上的数字通信。
" Digital communication" (4th edition) is a digital communications of a classic textbook in the field, through the review process, the probability of randomly addressed, details of the digital and analog source coding, digital modulation signal and the narrowband signal and system characteristics, additive white Gaussian noise in digital communication modulation and the best modulation and detection methods, based on maximum likelihood criterion of carrier phase estimation and time synchronization method, different channel model of channel capacity and random coding, band-limited channel signal design by ISI worse signal demodulation and detection, adaptive channel equalization, multi-channel and multi-carrier modulation, spread spectrum signals and systems, fading channel digital communications. (2010-05-12, Others, 17177KB, 下载218次)

http://www.pudn.com/Download/item/id/1168742.html

[其他书籍] principlesofoptics

本书首次出版于1959年,其前身是诺贝尔奖得主马科斯?玻恩(Max Born)的Optik一书,目前的最新版本是1999年第七版。《光学原理》一书在国外被广泛称为“Born & Wolf”已经销售超过30万册。事实上,每一个科班出身学习光学的人都研读过这本书并深受其影响。近半个世纪以来,“Born & Wolf”一直是物理书架上必不可少的作品,并成为光学领域的奠基性教科书。
This book was first published in 1959, its predecessor is a Nobel Prize winner Marcos? Born (Max Born)' s Optik a book, the latest version of the current seventh edition in 1999. " Optics," a book in foreign countries is widely known as the " Born & Wolf" has sold more than 300,000. In fact, every curriculum, studying optical everyone had this book and studied deeply their impact. Nearly half a century, " Born & Wolf" has always been essential to the physical works on the shelves and become the cornerstone of the field of optics textbook. (2009-11-10, Others, 30698KB, 下载19次)

http://www.pudn.com/Download/item/id/966238.html

[其他书籍] ANewApproachtoObjectVerificationBasedonBayesianThe

一种基于贝叶斯理论的目标验证方法。 提出了一种验证图像中候选目标的新方案. 综合目标的先验知识,将目标验证转化为给定候选目标的条 件下,图像特征观察集合的条件概率问题. 同时,提取图像的短线段特征,利用短线段特征的观察,给出了一种目标 验证方法排除复杂场景图像中虚假建筑物目标. 在自然图像集上进行的实验表明,所提出的方法能有效排除虚假 目标,满足处理自然图像的要求.
Based on Bayesian theory the goal of authentication methods. A candidate for the target image to verify the new program. Comprehensive prior knowledge of the target, the target to verify the candidate into a given target under the conditions of image feature observe the collection of conditional probability problems. At the same time, extract the image characteristics of short-paragraph the use of short-term observation of the characteristics above, given a goal of authentication method to exclude false images of complex scenes building goals. Set in the natural image experiments show that the proposed method can effectively rule out the possibility of false targets, to meet the deal with natural images requirements. (2008-08-18, Others, 457KB, 下载10次)

http://www.pudn.com/Download/item/id/530684.html
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