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QPSK_fre_DFE_equa
频域反馈均衡器仿真设计,采用FFT快速变换,抗通信中的多径干扰(frequency decision feedback equaliter,use FFT,in order to estimate the ISI in communication)
- 2013-11-12 09:21:07下载
- 积分:1
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重要代码
供感兴趣的同学一起学习。。。。。。。。。。。。。。。。。(For interested students to study together)
- 2018-09-25 22:58:10下载
- 积分:1
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test_time
matlab时间演示小程序 希望对大家有所帮助 大家互相学习共同进步 谢谢(a matlab program about time )
- 2010-12-30 20:24:02下载
- 积分:1
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Energy_detection_simulation
ENERGY DETECTION OF SIGNAL
- 2014-02-16 17:17:34下载
- 积分:1
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Exercise3
Computational Building Physics and Systems
- 2013-02-25 19:45:24下载
- 积分:1
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Sliding
滑膜变结构控制方法的应用例程,关于UUV的深度控制的(ARIES SLIDING MODE DEPTH CONTROL)
- 2012-05-14 11:43:10下载
- 积分:1
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LaHfilters2imageprocessing
Low pass and High Pass filters aplied to images as sobel, prewitt, roberts, first derivative
- 2013-12-04 12:04:09下载
- 积分:1
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bouc_wen
利用已识别出的参数,得到Bouc-Wen模型的力-位移曲线。(Obtain the force-displacement curve of Bouc-Wen model, using the identified parameters.)
- 2015-04-20 11:44:55下载
- 积分:1
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fcn_SR_KF
This file compares three different versions of the Kalman filter.
The Kalman filter is used for recursive parameter estimation.
The Kalman filter can handle noisy measurements.
The first implemented filter (fcn_KF) is the Kalman filter with standard
update of the covariance matrix P.
The covariance matrix reflects the uncertainties of the predictions.
To improve the numerical stability Potter developed a
square root update (fcn_KF_SRP) of the covariance matrix P.
Another version is the square root covariance update via
triangularization (fcn_KF_SRT).
This file generates a model. Then the three Kalman filters perform an
estimation of the model parameter. At the end the results are compared.
Sources:
Simon, D. (2006): Optimal state estimation
Kaminski, P. (1971): Discrete Square Root Filtering: A Survey of Current Techniques
Golub, G. (1996): Matrix Computations
- 2014-02-14 18:30:49下载
- 积分:1
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hiperlan2
hiperlan2 model for matlab/simulink
this is a demo
- 2011-10-05 12:59:47下载
- 积分:1