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Matlab
Matlab在图像处理与目标识别方面的应用实验程序示例.包括三个程序以及详细文档(Matlab in image processing and target recognition application example of the experimental procedures. Consists of three procedures, as well as detailed documentation)
- 2009-05-03 16:07:16下载
- 积分：1
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Matlab1234
说明： 用MATLAB生成bpsk信号，并通过AWGN信道的仿真(MATLAB bpsk signal generation, and through the AWGN channel simulation)
- 2010-04-05 16:53:39下载
- 积分：1
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EnvironmentalReverb
A sound generated within a room travels in many directions.
- 2014-10-03 13:34:07下载
- 积分：1
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target-tracking-using-kalman
matlab编写的用卡尔曼滤波实现目标跟踪(matlab prepared using Kalman filter tracking)
- 2013-10-17 15:49:05下载
- 积分：1
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Zooming-and-Shrinking
matlab实现用双线性插值法放大和缩小图像(Zooming and Shrinking Images by Bilinear Interpolation
(a) Write a computer program capable of zooming and shrinking an image by bilinear interpolation. The input to your program is the desired size of the resulting image in the horizontal and vertical direction. You may ignore aliasing effects.
(b) Download Fig. 2.19(a) and use your program to shrink this image 1024 x 1024 to 256 x 256 pixels.
(c) Use your program to zoom the image in (b) back to 1024 x 1024. Explain the reasons for their differences.
)
- 2015-04-29 23:00:26下载
- 积分：1
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frtestsystem
a test system for face recognition on viseo 320X240 color image
- 2010-07-23 22:34:33下载
- 积分：1
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main
this is Illustration of linear least squares.
- 2009-10-22 13:24:49下载
- 积分：1
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ji-fen
数值积分计算各种方法的matlab程序，可作为数值分析等的学习工具。(Numerical integration to calculate the various methods matlab program, can be used as a learning tool of numerical analysis .)
- 2012-04-05 16:14:36下载
- 积分：1
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enpoint
语音信号断点检测MATLAB系统仿真程序详述(Breakpoint detection of speech signals detailed MATLAB simulation program
)
- 2010-10-31 09:20:39下载
- 积分：1
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ParInfoGain
ParInfoGain - Computes parallel information gain and gain ratio in Matlab using the Matlab Parallel Computing Toolbox or the Distributed Server (if available)
Information gain is defined as:
InfoGain(Class,Attribute) = H(Class) - H(Class | Attribute)
Gain ratio is defined as:
GainRatio(Class, Attribute) = (H(Class) - H(Class | Attribute)) / H(Attribute).
...where H is the entropy, defined as - sum(i=1 to k) pi log2 pi
- 2010-12-13 11:17:06下载
- 积分：1
