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Implementation of signal power estimation methods

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2 Author(s)
Sei-Yeu Cheng ; Dept. of Electr. & Comput. Eng., Kansas Univ., Lawrence, KS, USA ; J. B. Evans

Estimates of signal power are widely used in signal processing algorithms, particularly in adaptive algorithms. For example, normalized gradient search adaptive algorithms based on both transversal and lattice forms use an estimate of the signal power in order to provide robustness to the input signal environment. A limitation on the use of such methods is the complexity of traditional implementation strategies. In this paper, methods for performing sum-of-squares signal power estimation which may be implemented in an extremely simple manner are presented. These strategies are shown to provide excellent estimates with substantial implementation savings. Comparisons and example designs based on FPGAs and custom implementations illustrate the advantages of the new methods

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IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing  (Volume:44 ,  Issue: 3 )