TY - JOUR
T1 - Implementing Wavelets in Continuous Time Analog Circuits with Dynamic Range Optimization
AU - Karel, J.M.H.
AU - Haddad, S.A.P.
AU - Hiseni, S.
AU - Westra, R.L.
AU - Serdijn, W.A.
AU - Peeters, R.L.M.
PY - 2012/2
Y1 - 2012/2
N2 - 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 criterion, starting from a deterministic starting point. This approach offers a large performance increase over previous Pade-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 L-2-approximated orthonormal Gaussian wavelet filter using G(m)-C integrators is presented.
AB - 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 criterion, starting from a deterministic starting point. This approach offers a large performance increase over previous Pade-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 L-2-approximated orthonormal Gaussian wavelet filter using G(m)-C integrators is presented.
U2 - 10.1109/TCSI.2011.2162381
DO - 10.1109/TCSI.2011.2162381
M3 - Article
VL - 59
SP - 229
EP - 242
JO - IEEE Transactions on Circuits and Systems
JF - IEEE Transactions on Circuits and Systems
IS - 2
ER -