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Implementing Wavelets in Continuous-Time Analog Circuits With Dynamic Range Optimization
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DOI：10.1109/TCSI.2011.2162381.png)
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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.
Keyword:
Analog circuits
design methodology
dynamic range
filters
low power
signal processing
wavelet filters
wavelets
wavelet transform
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5.2
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9.8K
被引数:
2.2W
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