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array
四个偶极子天线的特性分析。包括场特性,方向图等(Four dipole antenna characteristic analysis. Including market characteristics, such as the direction of graph)
- 2008-05-21 19:42:31下载
- 积分:1
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KeplerOrbit
这是用于计算天文中的开普勒轨道元素的程序,用MAtlab编写的,欢迎使用哦。(This is used to calculate the astronomical elements Kepler track procedures used MAtlab prepared, Welcome oh.)
- 2007-04-11 20:24:50下载
- 积分:1
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Digital-Signal-Processing
Digital Signal Processing Using MATLAB 3rd Edition-Slicer.pdf
- 2015-01-17 21:07:19下载
- 积分:1
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Untitled3
fp=0.2KHz,Rp=1dB, fs=0.3KHz,As=25dB,T=1ms;用脉冲响应不变法设计一Butterworth数字低通滤波器,观察所设计数字滤波器的幅频特性曲线,记录带宽和衰减量,检查是否满足要求。(fp=0.2KHz,Rp=1dB, fs=0.3KHz,As=25dB,T=1ms;The same method to design a digital low-pass Butterworth filter, observe the design of digital filter frequency characteristic curve, recording the amount of bandwidth and attenuation, check with the impulse response meets the requirements.)
- 2015-04-16 10:20:33下载
- 积分:1
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BPNN-Matlab
说明: 一个BP网络编程例子(Example of a BP network programming)
- 2008-11-28 18:52:29下载
- 积分:1
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rtree-2.1
r tree generation in matlab is given
- 2010-05-10 15:31:38下载
- 积分:1
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CS4VM
In this paper, we study cost-sensitive semi-supervised
learning where many of the training examples are unlabeled
and different misclassification errors are associated
with unequal costs. This scenario occurs in many
real-world applications. For example, in some disease
diagnosis, the cost of erroneously diagnosing a patient
as healthy is much higher than that of diagnosing a
healthy person as a patient. Also, the acquisition of labeled
data requires medical diagnosis which is expensive,
while the collection of unlabeled data such as basic
health information is much cheaper
- 2014-10-21 00:18:03下载
- 积分:1
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winner
麦克风语音增强,能偶达到语音增强的效果,通过滤波来实现语音增强(multiple microphone speech enhancement)
- 2015-01-15 14:43:05下载
- 积分:1
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200531510031
matlab的实验报告,有雅可比迭代,最小二乘法和复化辛普森公式。(matlab experimental reports, Jacobi iteration, the least square method and complex formula of Simpson.)
- 2008-06-28 03:07:40下载
- 积分:1
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gross-error-2010-10-26
说明: 粗大误差的发现(包括源程序和编译后的程序)。利用常用的6种方法来检测数据中是否含有粗大误差。(The discovery of gross errors (including source code and compiled program). 6 using methods commonly used to detect the presence of gross errors in the data.)
- 2011-03-17 11:23:35下载
- 积分:1