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基于最小均方误差算法的自适应滤波器在仿真源程序-based on the minimum mean square error of the adaptive filter algorithm for the simulation source
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matlab的各种自适应仿真分析。。自适应信息处理的算法、方案繁多，究其实质可归纳为遵循最小均方误差(Least Mean Square，LMS)准则及最小二乘(Least Square，LS)准则两大类，其他算法大多是这两种算法的演进。-matlab simulation analysis of various adaptive. . Adaptive information processing algorithms, a variety of plans, their essence ca
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。本文研究了SC-FDE系统中的最小均方误差判决反馈
均衡（MMSE-DFE）和基于LMS准则的自适应均衡算法，
MATLAB仿真表明，由于LMS自适应均衡算法能有效的跟
踪信道变化并更新均衡器的抽头系数，其性能略优于最小
均方误差判决反馈均衡算法。-. In this paper, the SC-FDE system, the minimum mean square error decision feedback
Equalization (MMSE-DFE) and
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This contribution considers semi-blind adaptive equalization for communication systems that employ high-throughput quadrature
amplitude modulation signalling. A minimum number of training symbols, approximately equal to the dimension
of the equal
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有源自适应噪声的最常用算法，该算法是基于滤波器的输出信号与期望响应之间的误差的均方值为最小。-Active adaptive noise most commonly used algorithm, which is based on the error between the filter output signal and the desired response minimum mean-square value.
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