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ex43423
Experimental exercices about Digital Image procesing
- 2010-07-09 14:29:48下载
- 积分：1
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beamforming
beamforming in cognitive relay networks
- 2015-02-24 12:21:45下载
- 积分：1
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Sheath_twoIons1D
流体力学方法模拟双离子一维鞘层的matlab代码，可作为交流学习使用(Fluid dynamics simulation of one-dimensional dual ion sheath matlab code, can be used as learning to use exchange)
- 2015-03-13 10:28:59下载
- 积分：1
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MATLAB7
Matalab7.0基础与提高，详细介绍Matalab矩阵运算、符号运算、程序设计初步、可视化等(Matalab7.0)
- 2009-09-08 10:03:40下载
- 积分：1
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PgmRead
Reading a PGM image file
- 2009-11-25 12:48:51下载
- 积分：1
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11111
多载波复用信道估计包括mmse，ls lmmse(The whole system simulation ofdm ls,mmse,lmmse)
- 2010-05-23 18:22:05下载
- 积分：1
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自适应滤波器
通过设计一个二阶加权系数自适应横向FIR滤波器，对一个加随机噪声的正弦信号实现滤波。
具体设计方案为：
1，生成标准正弦信号S
2，生成等长的随机信号N
3，生成加随机噪声的正弦信号X
4，X通过参数可调数字滤波器，输出Y
5，Y与参考信号作差得到误差E
6，E通过自适应算法调整权值W
7，用LMS算法处理噪声干扰的信号，最终实现滤波器功能(A two order weighted coefficient adaptive transverse FIR filter is designed to filter a sinusoidal signal with random noise.
The specific design scheme is as follows:
1, generating a standard sinusoidal signal S
2, generating an equal length random signal N
3, generating a sinusoidal signal X with random noise
4, X can adjust the digital filter by parameter and output Y
5, the difference between the Y and the reference signal is E
6, E adjusts the weight W through the adaptive algorithm
7, the LMS algorithm is used to deal with the noise interference signal, and the filter function is finally realized.)
- 2018-03-15 21:40:51下载
- 积分：1
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CS_OMP
是一个关于正交匹配（omp）算法实现的程序(Is a match on the orthogonal (omp) algorithm procedure)
- 2010-09-27 21:19:26下载
- 积分：1
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liu
状态模型的极大似然估计，使用EM算法，以及卡尔曼滤波。(This supplementary note discusses the maximum likelihood esti-mation of state space models using Expectation-Maximization (EM) algorithm and
bootstrap procedure for statistical inference. A Matlab program script implement-ing the Kalman ¯ lter, Kalman smoother and EM algorithm)
- 2021-02-19 01:39:44下载
- 积分：1
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threePhaseRectifierwithActiverLoad
threePhaseRectifierwithActiverLoad ,model and simulation
- 2012-01-19 10:15:38下载
- 积分：1
