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Implementing wavelets in continuous-time analog circuits with dynamic range optimization

(2012) Implementing wavelets in continuous-time analog circuits with dynamic range optimization. IEEE Transactions on Circuits and Systems I: Regular Papers , 59 (2) pp. 229-242. 10.1109/TCSI.2011.2162381.

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Abstract

Signal processing by means of analog circuits offers advantages from a power consumption viewpoint. A method is described to implement wavelets in analog circuits by fitting the impulse response of a linear system to the time-reversed wavelet function. The fitting is performed using local search involving an L2criterion, starting from a deterministic starting point. This approach offers a large performance increase over previous Padé-based approaches and allows for the circuit implementation of a larger range of wavelet functions. Subsequently, using state-space optimization the dynamic range of the circuit is optimized. Finally, to illustrate the design procedure, a sixth-order L2-approximated orthonormal Gaussian wavelet filter using Gm-C integrators is presented. © 2012 IEEE.

Type: Article
Title: Implementing wavelets in continuous-time analog circuits with dynamic range optimization
DOI: 10.1109/TCSI.2011.2162381
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: http://discovery.ucl.ac.uk/id/eprint/1528223
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