利用容積法從深度圖像來(lái)構(gòu)建復(fù)雜模型----A Volumetric Method for Building Complex Models from Range Images
標(biāo)簽： Volumetric Building Complex Method
上傳時(shí)間： 2014-01-11
上傳用戶：qq1604324866
rls_AR_pred.m - use basic RLS algorithm to predict real-valued AR proce
標(biāo)簽： rls_AR_pred real-valued algorithm predict
上傳時(shí)間： 2015-12-27
上傳用戶：縹緲
The XML Toolbox converts MATLAB data types (such as double, char, struct, complex, sparse, logical) of any level of nesting to XML format and vice versa. For example, >> project.name = MyProject >> project.id = 1234 >> project.param.a = 3.1415 >> project.param.b = 42 becomes with str=xml_format(project, off ) "<project> <name>MyProject</name> <id>1234</id> <param> <a>3.1415</a> <b>42</b> </param> </project>" On the other hand, if an XML string XStr is given, this can be converted easily to a MATLAB data type or structure V with the command V=xml_parse(XStr).
標(biāo)簽： converts Toolbox complex logical
上傳時(shí)間： 2016-02-12
上傳用戶：a673761058
As science advances, novel experiments are becoming more and more complex, requiring a zoo of control devices and electronics executing complicated sequences of steps. Device availability and monetary constrains usually lead to a highly heterogeneous setup with components from several different manufacturers using many different protocols and interfacing mechanisms. This often results in control software being puzzled together to use and provide a multitude of interfacing and control functionality, each using their own calling conventions, data structures, etc. To make matters worse, usually a group of relatively independent programmers is trying to write and maintain the code base. Often this causes extensive duplication of effort as program segments are hard to reuse, since unpredictable changes to the segments by the original authors might compromise other code using these segments.
標(biāo)簽： more experiments requiring advances
上傳時(shí)間： 2013-12-24
上傳用戶：qilin
復(fù)數(shù)運(yùn)算#include<iostream.h> class Complex { public: Complex( double r =0, double i =0 ) Complex(int a) { Real = a Image = 0 } void print() const friend Complex operator+ ( const Complex & c1, const Complex & c2 ) friend Complex operator- ( const Complex & c1, const Complex & c2 ) friend Complex operator- ( const Complex & c ) private: double Real, Image }
標(biāo)簽： Complex double iostream include
上傳時(shí)間： 2016-06-30
上傳用戶：wang5829
complex network復(fù)雜網(wǎng)絡(luò) 基本參數(shù)計(jì)算，度分布。
標(biāo)簽： complex network 復(fù)雜網(wǎng)絡(luò) 參數(shù)計(jì)算
上傳時(shí)間： 2016-09-04
上傳用戶：bakdesec
復(fù)雜網(wǎng)絡(luò)complex netowrk 基本參數(shù) 聚類系數(shù)計(jì)算
標(biāo)簽： complex netowrk 復(fù)雜網(wǎng)絡(luò) 參數(shù)
上傳時(shí)間： 2016-09-04
上傳用戶：372825274
復(fù)雜網(wǎng)絡(luò) complex network基本參數(shù)計(jì)算 邊權(quán)重計(jì)算 根據(jù)定義不同 可以選擇不同的計(jì)算方法
標(biāo)簽： complex network 復(fù)雜網(wǎng)絡(luò) 參數(shù)計(jì)算
上傳時(shí)間： 2016-09-04
上傳用戶：jichenxi0730
復(fù)雜網(wǎng)絡(luò)complex network 生成冪律分布的網(wǎng)絡(luò)矩陣或者鄰接矩陣
標(biāo)簽： complex network 矩陣 復(fù)雜網(wǎng)絡(luò)
上傳時(shí)間： 2013-12-25
上傳用戶：王者A
fft.c--This computes an in-place complex-to-complex FFT x and y are the real and imaginary arrays of 2^m points. dir = 1 gives forward transform dir = -1 gives reverse transform
標(biāo)簽： complex-to-complex and imaginary computes
上傳時(shí)間： 2016-09-17
上傳用戶：ljt101007
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