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FPGA implementation of constrained LMS algorithm

机译:FPGA实现约束LMS算法

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The use of adaptive systems in a wide variety of applications is one of the factor to update the current research. For building and realizing the adaptive filters, Digital Signal Processors and Application specific Integrated Circuits (ASICs) are the common and popular medium. For such adaptive systems Least Mean Square(LMS) algorithm has occupied an important space for its simplicity and robustness. Practically step size parameter as a constraint, is a key parameter of LMS algorithm. Simultaneously Field Programmable Gate Array (FPGA) has become attractive for the purpose of realization. In this paper, an approach has been proposed to realize the constrained LMS (CLMS) in FPGA Variable step size parameter is considered as the constraint. Simulation results for system identification are provided to support the theoretical analysis. The result shows the efficacy of the approach.
机译:在各种应用中使用自适应系统是更新当前研究的因素之一。对于建筑和实现自适应滤波器,数字信号处理器和应用特定集成电路(ASIC)是常见和流行的介质。对于这种自适应系统,最小均方(LMS)算法已经占据了其简单和鲁棒性的重要空间。实际上将梯级参数作为约束,是LMS算法的一个关键参数。同时现场可编程门阵列(FPGA)对于实现目的而变得有吸引力。在本文中,已经提出了一种方法来实现FPGA可变步长参数中的约束LMS(CLMS)被认为是约束。提供了系统识别的仿真结果以支持理论分析。结果表明了这种方法的功效。

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