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Linux Kernel Networking takes you on a guided in-depth tour of the current Linux networking implementation and the theory behind it. Linux kernel networking is a complex topic, so the book won't burden you with topics not directly related to networking. This book will also not overload you with cumbersome line-by-line code walkthroughs not directly related to what you're searching for; you'll find just what you need, with in-depth explanations in each chapter and a quick reference at the end of each chapter. Linux Kernel Networking is the only up-to-date reference guide to understanding how networking is implemented in the latest version of the Linux kernel, and it will be indispensable in years to come since so many devices now use Linux or operating systems based on Linux, like Android, and since Linux is so prevalent in the datacenter arena, including Linux-based virtualization technologies like Xen. What you'll learn * Kernel networking basics, including socket buffers * How key protocols like ICMP are implemented * In-depth looks at both IPv4 and IPv6 * Everything you need to know about Linux routing * How netfilter and IPsec are implemented * Linux wireless networking * Additional topics like Infiniband, BlueZ, the Android API, and network monitoring Who this book is for Software developers and architects, project managers, CTOs, network admins and architects, network security professionals, computer science researchers, and Linux kernel hackers. A basic knowledge of C and networking is required; basic knowledge of the Linux kernel is helpful but not mandatory.

Interpolation in Digital Modems-Part II Implementation and Performance

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Javaweb方面的毕业外文原文，《基于web搜索引擎的java实现问题》，基于web搜索引擎的java实现问题。

音频效果用于广播，电视，电影，游戏和音乐制作。 曾经主要用于提高录音效果和音频产品的修正，现在它应用更具创造性和广泛性。 本书的目的是描述效应背后的理论，解释如何实现它们，并说明了许多使用方式。 本书涵盖的概念与声音工程，数字信号处理，声学，音频信号处理，音乐有关 信息学和相关主题，包括延迟、均衡、混响、压缩、多普勒等效果

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K-SVD算法是一种有效的训练稀疏信号表示过完备字典的方法。在本文中，我们讨论了该算法的一种有效实现，它既加快了算法的速度，又降低了算法的内存消耗，即批处理OMP算法。 批处理OMP（Batch-OMP）是正交匹配追踪（OMP）算法的一种实现，该算法专门针对在同一字典上对大量信号进行稀疏编码而优化。批处理OMP实现对于涉及对大量信号进行编码的各种基于稀疏性的技术非常有用。在报告中，我们讨论了批处理OMP和K-SVD实现，并分析了它们的复杂性。 本文中实现这些技术的Matlabr工具箱，可以去http://www.cs.technion.ac.il/~ronrubin/software.html中进行下载。