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wimax-mimo
wimax物理层实现和仿真，很好的仿真系统，教你怎样用(Wimax physical realization and simulation。Very good simulation system and will teach you how to use)
- 2011-05-11 19:00:08下载
- 积分：1
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mpeg-compresson
video compression, mpeg, ex from bgu univesity
- 2011-05-18 19:38:10下载
- 积分：1
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TabuSearch
This code is a solution for TSP problem with tabu search.
- 2010-12-13 22:04:14下载
- 积分：1
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man_Eye_tracking
说明： 应用MATLAB实现眼睛的定位检测程序，大家分享看看(Application of MATLAB to achieve positioning of the eye detection process, we share a look)
- 2010-05-03 14:27:32下载
- 积分：1
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LICENSE-PLATE_1_final
This program will detect the license plate region with segmentation and extraction and recognition
- 2014-02-20 19:11:05下载
- 积分：1
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Lyapunov
此matab函数文件可以用来计算模型的李雅普诺夫指数，用于稳定性分析。(this Lyapunov.m file can be used to compute the lyapunov exponential)
- 2013-12-31 22:21:05下载
- 积分：1
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cmex
Tutorial for cmex in matlab builing c(cmex matlab)
- 2013-08-01 22:23:48下载
- 积分：1
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matlab
matlab的简明实例教程，可以自己研究一下 还不错的教程(concise instance of matlab tutorials, you can look pretty good your tutorials)
- 2010-05-22 02:07:58下载
- 积分：1
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iirdesign
Infinite impulse response (IIR) is a property of signal processing systems. Systems with this property are known as IIR systems or, when dealing with filter systems, as IIR filters. IIR systems have an impulse response function that is non-zero over an infinite length of time. This is in contrast to finite impulse response (FIR) filters, which have fixed-duration impulse responses. The simplest analog IIR filter is an RC filter made up of a single resistor (R) feeding into a node shared with a single capacitor (C). This filter has an exponential impulse response characterized by an RC time constant.
- 2012-04-12 20:50:07下载
- 积分：1
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myperT4
constructive role of noise in signal detection from parallel arrays of quantizers.(A noisy input signal is observed by means of a parallel array of one-bit threshold quantizers,in which all the quantizer outputs are added to produce the array output.s(t)=s1(t)with prior probability P0,or s(t)=s0(t)with prior probability P1=1-P0 input signal-noise mixture x(t)=s(t)+n(t) x(t) is observed by means of a parallel array of M threshold comparators. yi(t)=U[x(t)+wi(t)-theta],i=1,2...M.wi(t) is threshold noise.Y(t)=y1(t)+y2(t)+...yM(t), the array output Y(t) is meansured at T distinct times.the plot is fthe theoretical value of minimal detection error probability Per varied with sigma.)
- 2011-06-23 10:12:09下载
- 积分：1
