Direct Digital Wavelet Synthesis for Embedded Biomedical Microsystems
| Autor: | Lieuwe B. Leene, Timothy G. Constandinou |
|---|---|
| Přispěvatelé: | Engineering & Physical Science Research Council (EPSRC) |
| Rok vydání: | 2018 |
| Předmět: |
Technology
Science & Technology Computer Science Information Systems Computer science 020208 electrical & electronic engineering Reconfigurability Wavelet transform Engineering Electrical & Electronic 020206 networking & telecommunications TRANSFORM 02 engineering and technology Time–frequency analysis 16-bit Engineering Wavelet Modulation Computer Science 0202 electrical engineering electronic engineering information engineering Electronic engineering CORDIC Field-programmable gate array Engineering Biomedical |
| Zdroj: | BioCAS IEEE Biomedical Circuits and Systems (BioCAS) Conference 2018 |
| DOI: | 10.1109/biocas.2018.8584787 |
| Popis: | This paper presents a compact direct digital wavelet synthesizer for extracting phase and amplitude data from cortical recordings using a feed-forward recurrent digital oscillator. These measurements are essential for accurately decoding local- field-potentials in selected frequency bands. Current systems extensively to rely large digital cores to efficiently perform Fourier or wavelet transforms which is not viable for many implants. The proposed system dynamically controls oscillation to generate frequency selective quadrature wavelets instead of using memory intensive sinusoid/cordic look-up-tables while retaining robust digital operation. A MachXO3LF Lattice FPGA is used to present the results for a 16 bit implementation. This configuration requires 401 registers combined with 283 logic elements and also accommodates real-time reconfigurability to allow ultra-low- power sensors to perform spectroscopy with high-fidelity. |
| Databáze: | OpenAIRE |
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