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ACTIVENOISECONTROL
Let X1,X2,...X10 be independent uniformly distributed Random vari-
ables over [0 1] andY = X1 + X2 +.....+ X10.Generate the PDF and
pdf of Y(Let X1,X2,...X10 be independent uniformly distributed Random vari-
ables over [0 1] andY = X1+ X2+.....+ X10.Generate the PDF and
pdf of Y)
- 2009-05-09 12:54:00下载
- 积分：1
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sportswatch
完整的跑表设计，时，分，秒都显示，希望能对大家有用，谢啦(Complete stopwatch design, hours, minutes, seconds, show, hoping to be useful for everyone,)
- 2009-12-09 11:25:27下载
- 积分：1
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RINEXcode
这是用matlab语言编写的程序，主要应用于对GPS观测文件的读取。(This is a program written in matlab language, mainly used to read files on the GPS observations.)
- 2011-05-01 16:50:12下载
- 积分：1
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bch
图像的bch编码解码，包括图像bch编码和解码函数，还有一个示例(Bch decoding encoded image, including the image bch encoding and decoding functions, as well as a sample)
- 2014-10-29 15:30:04下载
- 积分：1
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gmapping
Gmapping for slam alogrithm
- 2015-03-04 19:42:25下载
- 积分：1
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卫星轨道坐标的计算方法
说明： 详细介绍了轨道方程，轨道六要素，以及坐标计算方法，包括椭圆轨道面坐标、大地空间直角坐标以及经纬度坐标的计算方法(The orbit equation, the six elements of orbit and the coordinate calculation method are introduced in detail, including the calculation method of elliptical orbit, plane coordinates, geodetic space, rectangular coordinates and longitude and latitude coordinates)
- 2020-06-16 09:20:01下载
- 积分：1
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SignCode
SignCode, is used to create your own Code Signing
The SignTool tool is a command-line tool that digitally signs files, verifies signatures in files, or time stamps files.
- 2013-01-28 12:22:04下载
- 积分：1
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shunt
Wound-field synchronous motors are well-known in industrial
drives requiring constant speed irrespective of load.
Separately controllable dc excitation in the form of dc field
current is a unique feature in the power factor control of
such a motor the lagging to leading mode.
- 2015-02-06 04:49:45下载
- 积分：1
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FUEL_CELL_FILES_matlab_script
说明： 可以画出基本的EIS曲线，但是参数需要根据具体燃料电池变化(Basic EIS curves can be drawn.)
- 2020-06-22 19:40:02下载
- 积分：1
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linclass
这个是用于两类的带有类别的数据的线性分类器，是结构体类型如下判别 y(i) = 1 if W *X(:,i) + b >= 0
2 if W *X(:,i) + b < 0(his function classifies input data X using linear
discriminant function:
y(i) = argmax W(:,y) *X(:,i)+ b(y)
y
where parameters W [dim x nfun] and b [1 x nfun] are given
in model and nfun is number of discriminant functions.
In the binary case (nfun=1) the classification rule is following
y(i) = 1 if W *X(:,i)+ b >= 0
2 if W *X(:,i)+ b < 0)
- 2011-05-01 17:58:21下载
- 积分：1
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