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lswf
数字图像处理空间维纳滤波LSWF模型MATLAB代码(Digital image processing space Wiener filter LSWF model MATLAB code)
- 2014-10-17 13:59:20下载
- 积分：1
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Alamouti
Alamouti下的空时编码下的仿真，很好的体现了系统的性能，比较实用。(Alamouti space-time coding under the under the simulation, well reflects the performance of the system more practical.)
- 2009-11-05 21:14:33下载
- 积分：1
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LMSandRLS
说明： 现代信号处理中的LMS算法和RLS算法的MATLAB仿真(Modern Signal Processing LMS algorithm and RLS algorithm MATLAB simulation)
- 2008-11-18 12:57:32下载
- 积分：1
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regularition
主要是利用归一化的方法进行位场边界识别，利用导数与周围最大值的比值来进行。(Mainly using the method of normalized potential field boundary identification, the use of derivative and the ratio of maximum to be around.)
- 2011-05-24 15:09:47下载
- 积分：1
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joint_diag
近年来，盲源分离技术成为研究热点。这是盲源分离技术的JADE算法，十分经典哦(In recent years, blind source separation technique to become a research hotspot. This is the JADE algorithm for blind source separation, very classic!)
- 2012-06-16 10:58:49下载
- 积分：1
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optim
matlab优化工具箱,包括线性规划linprog.m，二次规划quadprog.m等(optim toolbox)
- 2013-09-05 13:20:58下载
- 积分：1
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Amtlab
thnx for ur concern which helps me out simulink problems
- 2015-04-05 17:24:20下载
- 积分：1
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LMS
数字信号处理LMS算法，处理输入信号与参考信号的误差，显示收敛曲线(LMS algorithm for digital signal processing, processing the input signal and reference signal of the error, shows the convergence curve)
- 2007-10-23 12:15:28下载
- 积分：1
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Finite_Difference_Beam_Propagation_Method
采用有限差分方法模拟计算高斯光束在自由空间传播过程。(Simulation using the finite difference method of Gaussian beams in free space propagation.)
- 2010-11-03 11:45:07下载
- 积分：1
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LMS
最小均方（LMS）自适应算法就是一中已期望响应和滤波输出信号之间误差的均方值最小为准的，依据输入信号在迭代过程中估计梯度矢量，并更新权系数以达到最优的自适应迭代算法。LMS算法是一种梯度最速下降方法，其显著的特点是它的简单性。这算法不需要计算相应的相关函数，也不需要进行矩阵运算。(Minimum mean-square (LMS) adaptive algorithm is that one has to respond to the expectations and filtering the output signal of the mean square error between the value of the minimum-based, based on the input signal is estimated in the iterative process of gradient vector, and to update the weights in order to achieve the most Adaptive iterative algorithm gifted. LMS algorithm is a steepest descent gradient method, and its significant features is its simplicity. This algorithm does not require calculation of the corresponding correlation function, nor the need for matrix calculation.)
- 2008-05-26 12:05:15下载
- 积分：1
