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于 2010-12-04 发布 文件大小:379KB
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  数字信号处理---理论与实践(光盘)中的所有matlab源代码,该书是学习数字信号处理的绝好教材!(Digital Signal Processing--- Theory and Practice (CD) all the matlab source code, the book is an excellent learning digital signal processing textbook!)

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    用于雷达阵列信号的处理,比较经典的music算法,对大家会有帮助的(Used in radar array signal processing, algorithms with classical music, will be helpful to everyone)
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    Linear_system_2area modelling
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  • ITERV2FUZZYLS
    This tutorial illustrates the basic ideas of interval type-2 (IT2) fuzzy sets and systems, and provides a Matlab implementation of IT2 fuzzy logic system (FLS). One obstacle in learning IT2 fuzzy logic is its complex notations. In this tutorial we try to avoid these notations and give the reader some intuitive understanding of IT2 FLSs.
    2013-12-19 02:06:41下载
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  • tssrcolor120131007
    用matlab实现的MSR增强算法,对低照度图像有一定的增强效果(Using matlab realize the MSR enhancement algorithms for enhanced low-light images have a certain effect)
    2014-01-22 18:02:58下载
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    satellite link budget analysis using matlab
    2011-08-25 17:27:48下载
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    关于机器人舒适度区域的研究文章,外国人写的。(Comfort zone on the robot research articles written by foreigners.)
    2013-08-23 09:39:32下载
    积分:1
  • wireless_communication_simulation
    本次实验是无线楼宇数据传输仿真,即在楼内实现点对点的无线数据通信,需要获得的关键是两点之间的距离和楼层衰减。通过了解914M的楼宇通信特性,建立楼宇数据通信系统的仿真模型,采用无线收发芯片NRF905,实现楼宇内的数据通信仿真分析。 (this experiment is building wireless data transmission simulation, in the building of peer-to-peer wireless data communications, need, the key is the distance between two points and the floor attenuation. 914 M by understanding the communication characteristics of the buildings, the establishment of building data communications system simulation models, adoption of wireless transceiver chip NRF905 achieve buildings on the simulation analysis of data communications.)
    2007-05-08 16:13:08下载
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  • deconvolve
    deconvolution deconvolve.m Given a system impulse response h[n] and test response y[n], this algorithm deconvolves the test response with the impulse response to determine the input x[n] as X(jw) = Y(jw)/H(jw). Eliminate some noise, but is still very rough NOTE: Assumes all signals are the same length. Use sigcorrect.m to equalize their lengths if they are different. use: deconvolve(impresp,test,testresp) variables: impresp: impulse response of system test: test input to system testresp: test response of system
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