Name
Abstract | ||
|---|---|---|
Abstract—In order to realize a nano-power ,wavelet filter for biomedical applications, this paper applies the Singular Value Decomposition approximation to transform the time domain 1,-order z- domain transfer function. Consequently, to realize the approximated transfer function in CMOS technology employing circuitry that operates from a low supply voltage, a sampled data circuit technique, coined ‘Switched Gain Cell, (SGC),’ is introduced. Using the SGC technique, standard MOS switches, simple subthreshold (nonlinear) transconductors and ,their associated parasitic capacitances suffice to constitute the filter, while the scale of the ,filter can be controlled by the ,clock frequency. This renders the filter architecture to be simple, modular, and area efficient. Simulation results, using 0.13µm CMOS model parameters, show that the wavelet filter implements the gauss1 wavelet base well, operates from a 1V supply and consumes less than 0.47 µW quiescent power. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ISCAS.2009.5117806 | Taipei |
Keywords | Field | DocType |
CMOS integrated circuits,approximation theory,nanotechnology,singular value decomposition,switched filters,transfer functions,wavelet transforms,Gaussian wavelet base,biomedical applications,clock frequency,nanopower sampled data wavelet filter design,singular value decomposition approximation,subthreshold transconductors,switched gain cell,switched gain cell technique,time domain transforms,transfer function,voltage 1 V | Time domain,Root-raised-cosine filter,Control theory,Computer science,CMOS,Electronic engineering,Transfer function,Wavelet packet decomposition,Clock rate,Wavelet,Wavelet transform | Conference |
ISBN | Citations | PageRank |
978-1-4244-3828-0 | 3 | 0.72 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chutham Sawigun | 1 | 38 | 8.50 |
| Michiel Grashuis | 2 | 3 | 0.72 |
| Ralf L. M. Peeters | 3 | 62 | 22.61 |
| A. Serdijn | 4 | 12 | 2.66 |