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Paper   IPM / Cognitive Sciences / 12320
School of Cognitive Sciences
  Title:   A 64-Channel neural signal processor/compressor based on haar wavelet transform
  Author(s): 
1.  Mohammad Ali Shaeri
2.  Amir M Sodagar
3.  Hamid Abrishami-Moghaddam
  Status:   In Proceedings
  Proceeding: 33rd Annual International Conference of the IEEE EMBS, Boston, Massachusetts USA, August 30 - September 3, 2011
  Year:  2011
  Supported by:  IPM
  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- #956;m standard CMOS process, the 64-channel 8-bit signal processor reported in this paper occupies 113 #956;mx110 #956;m of silicon area. It operates under a 1.8-V supply voltage at a master clock frequency of 3.2MHz.

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