Encoding and decoding of the binary extended (24,12,8) Golay code:
An arithmetic decoding algorithm. It is a very close relative of the error-trapping decoding Algorithms developed by Kasami in the 1960s.
The DSP Design Flow workshop provides an introduction to the advanced tools you need to design and implement DSP Algorithms targeting FPGAs. This intermediate workshop in implementing DSP functions focuses on learning how to use System Generator for DSP, as well as HDL design flow, CORE Generator software, and design implementation tools. Through hands-on exercises, you will implement a design from algorithm concept to verification.
The Linux kernel is one of the most interesting yet least understood open-source projects. It is also a basis for developing new kernel code. That is why Sams is excited to bring you the latest Linux kernel development information from a Novell insider in the second edition of Linux Kernel Development. This authoritative, practical guide will help you better understand the Linux kernel through updated coverage of all the major subsystems, new features associated with Linux 2.6 kernel and insider information on not-yet-released developments. You ll be able to take an in-depth look at Linux kernel from both a theoretical and an applied perspective as you cover a wide range of topics, including Algorithms, system call interface, paging strategies and kernel synchronization. Get the top information right from the source in Linux Kernel Development.
C＋＋編寫(xiě)的機(jī)器學(xué)習(xí)算法
Lemga is a C++ package which consists of classes for several learning models and generic Algorithms for optimizing (training) the models
This is a little console mode utility program which is able to
(de-)compress single files with a static Arithmetic compression
algorithm. You could easily add the RLE/BWT/MFT data
transformation Algorithms. Just rip the corresponding classes
out of my HuffComp source code. I won t add these ones in the
next time.
英文版,pdf格式。
詳細(xì)說(shuō)明：
Title: STL Tutorial and Reference Guide: C++ Programming with the Standard Template Library (2nd Edition)
URL: http://www.amazon.com/exec/obidos/tg/detail/-/0201379236/
ISBN: 0201379236
Author: David R. Musser / Gillmer J. Derge / Atul Saini / Gilmer J. Derge
Publisher: Addison-Wesley
Page: 560
Edition: 2nd edition (March 27, 2001)
Catalog: C++
Format: PDF
Size: 3.8M
Supplier: December
Summary: The Standard Template Library was created as the first library of genetic Algorithms and data structures, with four ideas in mind: generic programming, abstractness without loss of efficiency, the Von Neumann computation model, and value semantics. This guide provides a tutorial, a description of each element of the library, and sample applications. The expanded second edition includes new code examples and demonstrations of the use of STL in real-world C++ software development it reflects changes made to STL for the final ANSI/ISO C++ language standard.
It is possible that certain products which can be built using this
software modules might form inventions protected by patent rights in
some countries (e.g. by patents about arithmetic coding Algorithms
owned by IBM and AT&T in the USA). Provision of this software by the
author does NOT include any licenses for any patents.
In those countries where a patent license is required for certain
applications of this software modules, you will have to obtain such
a license yourself.
OpenCV means Intel® Open Source Computer Vision Library. It is a collection of C functions and a few C++ classes that implement some popular Image Processing and Computer Vision Algorithms.
OpenCV has cross-platform middle-to-high level API that consists of a few hundreds (>300) C functions. It does not rely on external libraries, though it can use some when it is possible.
OpenCV is free for both non-commercial and commercial use (see the license for details).
OpenCV provides transparent interface to Intel® Integrated Performance Primitives (IPP). That is, it loads automatically IPP libraries optimized for specific processor at runtime, if they are available. More information about IPP can be retrieved at http://www.intel.com/software/products/ipp/index.htm
--------------------------------------------------------------------------------
本文是opencv的入門(mén)教程
