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DSP应用开发实用子程序
本书从工程应用的角度出发,介绍了各种数字信号处理算法在DSP上的实现。本书所介绍的子程序内容涉及数学运算、DSP硬件接口程序、经典数字信号处理算法和现代数字信号处理算法,以及DSP在语音、图像、控制和无线通信中的应用。
本书实例丰富、层次清晰、语言通俗,有较强的实用性,既可作为数字信号处理开发人员查询手册,也可作为大中专院校工业自动化、电气技术专业、计算机科学及其他相关专业的参考资料。
-DSP Application Development practi
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Introduction to Information Retrival
The book aims to provide a modern approach to information retrieval from a computer science perspective. It is based on a course we have been teaching in various forms at Stanford University and at the Universit
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這本書提供詳細WINDOW NT IO MANAGER 以及其他資訊-Windows NT File System Internals presents the details of the NT I/O Manager, the Cache Manager, and the Memory Manager from the perspective of a software developer writing a file system driver or implementing a kern
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Introduction to Information Retrieval is the first textbook with a coherent treatment
of classical and web information retrieval, including web search and
the related areas of text classification and text clustering. Written from a
computer sci
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本书适用于那些想要写出更快、更可靠程序的程序员。通过掌握程序是如何映射到系统上,以及程序是如何执行的,读者能够更好的理解程序的行为为什么是这样的,以及效率低下是如何造成的。粗略来看,计算机系统包括处理器和存储器硬件、编译器、操作系统和网络互连环境。而通过程序员的视角,读者可以清晰地明白学习计算机系统的内部工作原理会对他们今后作为计算机科学研究者和工程师的工作有进一步的帮助。它还有助于为进一步学习计算机体系结构、操作系统、编译器和网络互连做好准备。
本书的主要论题包括:数据表示、C程序的机
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Introduction to Information Retrieval is the first textbook with a coherent treatment
of classical and web information retrieval, including web search and
the related areas of text classification and text clustering. Written from a
computer sci
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计算机图像图像学基于OPENGL的简单光源移动以及透视投影程序-OPENGL-based computer graphics image of a simple light source science movement and perspective projection program
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In computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems which can be reduced to finding good paths through graphs.
This algorithm is a member of the
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continuous ACO.
In computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems which can be reduced to finding good paths through graphs.
This algorithm
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In computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems which can be reduced to finding good paths through graphs.
This algorithm is a member of the a
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