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BWT
Burrows-Wheeler转换,也称为块排序，是80年代提出来的一种新型压缩方法，对文本有很好的压缩率。(Burrows-Wheeler Transformation,also called Block Sorting)
- 2010-12-10 03:18:06下载
- 积分：1
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onduleurn
an example of inverter with simulink
- 2012-05-14 08:11:23下载
- 积分：1
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InterPoints
计算分段三次多项式插值的系数,计算三次样条插值函数的系数组M(Calculating the coefficients of piecewise cubic polynomial interpolation, cubic spline interpolation function calculating the coefficients M)
- 2013-10-09 19:58:00下载
- 积分：1
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Matlab-in-system-identification
：首先介绍了系统辨识的基本原理，简要介绍了Matlab中系统辨识
的实现方法。并结合具体的例子，显示Matlab系统辨识工具箱在系统辨
识中的强大功能和辨识快速准确等优点。(This paper introduces the basic theory of System Identification，the
realization method in Matlab and presents the strong function of System
Identification toolbox with the merit of fast，precision and SO 011 by an
example．)
- 2013-10-17 10:12:30下载
- 积分：1
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197
MODELLING OF MOBILE ROBOT DYNAMICS
- 2015-01-11 02:23:42下载
- 积分：1
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harris_method
harris corner detector code in digital image processing
- 2013-12-21 22:59:11下载
- 积分：1
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Graph_all.c
All graph algorithms thats helps to understand the concepts
- 2014-09-05 05:45:53下载
- 积分：1
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Newton_Tay and Picard
Newton-Raphson迭代法是很重要而且比较实用的方法及不动点迭代(Newton-Raphson iteration is a very important and practical method and fixed point iteration)
- 2017-06-19 07:43:59下载
- 积分：1
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StephenJ_Chapman_Matlab
这本电子书是Stephen J. Chapman著，邢树军译，内容简单，讲解详细，并且附有常见的编程错误和好的编程习惯，比较适合初学者。(This eBook is Stephen J. Chapman a, Xing Shujun translation, is simple to explain in detail, and with a common programming errors and good programming habits are more suitable for beginners.)
- 2010-06-17 20:27:48下载
- 积分：1
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HDFaceRecognitionSystemMatlabsourcecode
Advances in data collection and storage capabilities during the past decades have led to an information overload in most sciences. Researchers working in domains as diverse as engineering, astronomy, biology, remote sensing, economics, and consumer transactions, face larger and larger observations and simulations on a daily basis. Such datasets, in contrast with smaller, more traditional datasets that have been studied extensively in the past, present new challenges in data analysis. Traditional statistical methods break down partly because of the increase in the number of observations, but mostly because of the increase in the number of variables associated with each observation. The dimension of the data is the number of variables that are measured on each observation.
- 2009-07-11 13:58:55下载
- 积分：1
