Title :
A novel truncated squarer with linear compensation function
Author :
Garofalo, Valeria ; Coppola, Marino ; De Caro, Davide ; Napoli, Ettore ; Petra, Nicola ; Strollo, Antonio G M
Author_Institution :
DIBET, Univ. of Napoli Federico II, Naples, Italy
fDate :
May 30 2010-June 2 2010
Abstract :
A truncated binary squarer is a squarer with a n bit input that produces a n bit output. The proposed design minimizes the mean square error of the squarer and results in a very simple and fast circuital implementation. The squarer, compared against state of the art circuits, provides a reduction of the mean square error ranging from 20% to 5%. At the same time, the proposed squarer is able to reduce the power dissipation, reduce the silicon area occupation, and increase the maximum working frequency. Implementations results are provided for a 0.18μm technology.
Keywords :
least mean squares methods; signal processing; art circuits; linear compensation function; mean square error; power dissipation reduction; truncated binary squarer; Adaptive filters; Circuits; Digital arithmetic; Digital signal processing; Frequency; Hardware; Mean square error methods; Power dissipation; Silicon; Vector quantization;
Conference_Titel :
Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-5308-5
Electronic_ISBN :
978-1-4244-5309-2
DOI :
10.1109/ISCAS.2010.5537591