title: A 64-channel neural signal processor/ compressor based on Haar wavelet transform.
abstract: A signal processor/compressor dedicated to implantable neural recording microsystems is presented. Signal compression is performed based on Haar wavelet. It is shown in this paper that, compared to other mathematical transforms already used for this purpose, compression of neural signals using this type of wavelet transform can be of almost the same quality, while demanding less circuit complexity and smaller silicon area. Designed in a 0.13-μm standard CMOS process, the 64-channel 8-bit signal processor reported in this paper occupies 113 μm x 110 μm of silicon area. It operates under a 1.8-V supply voltage at a master clock frequency of 3.2 MHz.
authors.affiliation: Research Laboratory for Integrated Circuits and Systems, Department of Electrical and Computer Engineering, KNToosi University of Technology, Tehran, Iran.
authors.forename: Mohammad Ali
authors.initials: MA
authors.lastname: Shaeri
authors.forename: Amir M
authors.initials: AM
authors.lastname: Sodagar
authors.forename: Hamid
authors.initials: H
authors.lastname: Abrishami-Moghaddam
mesh_terms: D000465:Algorithms; D001698:Biomedical Engineering / Q000295:instrumentation / Q000379:methods; D003201:Computers; D004867:Equipment Design; D006801:Humans; D008422:Materials Testing; D008838:Microcomputers; D015233:Models, Statistical; D008962:Models, Theoretical; D009474:Neurons / Q000378:metabolism / Q000502:physiology*; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D012825:Silicon / Q000737:chemistry; D012984:Software; D013997:Time Factors; D058067:Wavelet Analysis
chemical_list: D012825:Silicon