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Communication_M-files

于 2010-05-27 发布 文件大小:1491KB
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  MATLAB Communication M-files

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    B样条工具箱,一个非常有用的matlb工具箱 可以很方便的进行样条插值(B-spline toolbox, a very useful matlb Toolbox can easily be spline interpolation)
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    GPR DETECTION TARGET
    2011-06-11 15:08:31下载
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    巴特沃斯和切比雪夫滤波器,其中前者为低通,后者为带通,可有效滤除不同频噪声.(Butterworth and Chebyshev filter, where the former is a low-pass, band-pass which can effectively filter out different frequency noise.)
    2014-08-22 15:29:12下载
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  • matlab-code
    Video summarization refers to creating a summary of a video. Medical examinations like endoscopy and bronchoscopy lasts more than 20 minutes .The doctor may not have sufficient time to watch the entire video or the whole of video content may not be of interest to the examiner. Sometimes the medical video has to be sent to a specialist who is located at a distant place. In such cases, the doctor may just want to view the summary of the video instead of watching the whole video. Thus , the summary should be such that it should convey as much information about the occurrence of various incidents in the video. Video summarization plays an important role in efficient storage, quick browsing and retri of large collection of video data without losing important aspects. It also reduces transmission bandwidth efficiently when need arises. Efficient summarization of video recordings of bronchoscopic and endoscopic procedures is also highly relevant for the development of medical video libraries.
    2015-03-17 01:09:27下载
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  • matlabch07
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    2008-12-06 00:24:34下载
    积分:1
  • huijie
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    2011-05-14 13:07:36下载
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  • Chongdiebaoliu
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    2009-03-24 18:21:11下载
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  • filter1
    说明:  高通滤波器,带通滤波器,数字FIR滤波器(The Shannon entropy is a measure of the average information content one is missing when one does not know the value of the random variable. The concept was introduced by Claude E. Shannon in his 1948 paper "A Mathematical Theory of Communication". Shannon s entropy represents an absolute limit on the best possible lossless compression of any communication, under certain constraints: treating messages to be encoded as a sequence of independent and identically-distributed random variables, Shannon s source coding theorem shows that, in the limit, the average length of the shortest possible representation to encode the messages in a given alphabet is their entropy divided by the logarithm of the number of symbols in the target alphabet. )
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