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matlabusefulexamples3
说明： MATLAB的实用经典程序3，可使初学者在短时间内较快掌握MATLAB中的一些基本函数(MATLAB utility classic program 3 will enable beginners to master quickly in a short time some of the basic function of MATLAB,)
- 2009-08-26 22:19:55下载
- 积分：1
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puguji
说明： 用matlab实现谱估计，包括自相关及burg等(Using matlab to achieve spectral estimation, including autocorrelation and burg, etc.)
- 2008-11-25 22:21:22下载
- 积分：1
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Upload_EZW128
EZW128EZW FOR THE IMAGE of resolution 128X128)
- 2015-02-23 18:39:58下载
- 积分：1
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RealRad2FFT
savonius model simulink
- 2010-07-07 08:41:47下载
- 积分：1
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C
说明： C高级编程，是提高的好书，希望大家认真阅读，我还会陆续发资料(C high-level programming)
- 2010-09-18 01:13:24下载
- 积分：1
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jpeg2000
programme qui fait la comression d image jpeg2000 en langage de programmation matlab
- 2012-04-13 19:52:00下载
- 积分：1
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《高等光学仿真》(第2版)MATLAB源程序
说明： matlab 应用于高等光学，激光仿真计算，程序根据课本安排编版(Matlab is used in advanced optics and laser simulation calculation, and the program is compiled according to the textbook arrangement)
- 2020-07-11 11:37:59下载
- 积分：1
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ControlSystemsSimulationusingMatlabandSimulink
Addison Wesley出版的一本深入讲解c++面向对象编程机理的书，对于c++程序员进一步全面了解面向对象机制的好书。书中有丰富的程序实例和解读。英文版(Inside the C++ Object Model focuses on the underlying mechanisms that support object-oriented programming within C++: constructor semantics, temporary generation, support for encapsulation,
inheritance, and "the virtuals"-virtual functions and virtual inheritance. This book shows how your understanding the underlying implementation models can help you code more efficiently and with greater confidence. Lippman dispells the misinformation and myths about the overhead and complexity associated
with C++, while pointing out areas in which costs and trade offs, sometimes hidden, do exist. He then explains how the various implementation models arose, points out areas in which they are likely to evolve, and why they are what they are. He covers the semantic implications of the C++ object model and how that model affects your programs..)
- 2009-09-06 15:19:01下载
- 积分：1
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Gilbert-Strang4
gilber strang files Computational Science and Engineering
- 2013-11-10 20:14:02下载
- 积分：1
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Beatty-(12)
Reconstruction of magnetic resonance images from
data not falling on a Cartesian grid is a Fourier inversion problem
typically solved using convolution interpolation, also known as
gridding. Gridding is simple and robust and has parameters,
the grid oversampling ratio and the kernel width, that can be
used to trade accuracy for computational memory and time
reductions. We have found that significant reductions in computation
memory and time can be obtained while maintaining high
accuracy by using a minimal oversampling ratio, from 1.125 to
1.375, instead of the typically employed grid oversampling ratio
of two. When using a minimal oversampling ratio, appropriate
design of the convolution kernel is important for maintaining high
accuracy
- 2012-05-27 18:24:56下载
- 积分：1
