Chi Square Test for Independence: calculuate the chi square of a vector and the critical value.
标签: Independence calculuate the critical
上传时间: 2013-11-29
上传用户:xyipie
This functions returns the variance of vector elements
标签: functions elements variance returns
上传时间: 2015-09-23
上传用户:edisonfather
this some codes for the book <<space-time codes and mimo systerms>>
标签: codes space-time systerms this
上传时间: 2013-12-17
上传用户:aa54
it is very good codes for space-time systerms
标签: space-time systerms codes good
上传时间: 2014-01-22
上传用户:FreeSky
Basic Differential Encoding/Decoding of input vector of numeric values
标签: Differential Decoding Encoding numeric
上传时间: 2013-12-20
上传用户:qiaoyue
by Jay Kadane。Input:a vector with floats.Output:the maximum submatrix.
标签: submatrix maximum Kadane Output
上传时间: 2015-10-13
上传用户:彭玖华
用MATLAB程序实现support vector machine
标签: support machine MATLAB vector
上传时间: 2015-10-17
上传用户:qq1604324866
in this paper,wo propose an extension of the zerotree-based space-frequency quantization algorithm by adding a wedgelet symbol to its tree-pruning optimization.
标签: space-frequency zerotree-based quantization algorithm
上传时间: 2015-10-22
上传用户:yxgi5
Verilog HDL: Magnitude For a vector (a,b), the magnitude representation is the following: A common approach to implementing these arithmetic functions is to use the Coordinate Rotation Digital Computer (CORDIC) algorithm. The CORDIC algorithm calculates the trigonometric functions of sine, cosine, magnitude, and phase using an iterative process. It is made up of a series of micro-rotations of the vector by a set of predetermined constants, which are powers of two. Using binary arithmetic, this algorithm essentially replaces multipliers with shift and add operations. In a Stratix™ device, it is possible to calculate some of these arithmetic functions directly, without having to implement the CORDIC algorithm.
标签: representation Magnitude the magnitude
上传时间: 2013-12-24
上传用户:金宜
(数据挖掘新方法-支持向量机)PDF格式的!知道支持向量机(SVM),肯定知道它是一本非常经典的图书!支持向量机(support vector machine,SVM)是数据挖掘中的一项新技术,是借助于最优化方法解决机器学习问题的新工具.
标签: support machine vector 支持向量机
上传时间: 2013-12-06
上传用户:kr770906