2pJ/MAC 14b 8×8 linear transform mixed-signal spatial filter in 65nm CMOS with 84dB interference suppression

Siddharth Joshi, Chul Kim, Sohmyung Ha, Yu Mike Chi, Gert Cauwenberghs

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Advances in machine learning (ML) and the internet-of-things (IoT) have resulted in a renewed interest in analog matrix-vector multiplication (MvM) accelerators [1-3]. Classification based tasks have exploited low-to-medium resolution multiplication and accuracy boosting algorithms in order to compensate for the reduced resolution. Complementing classification, tasks like source separation and localization have diverse applications ranging from signal conditioning in communication [4] and ultrasound to electroencephalography (EEG) [5] source localization and spike sorting, and greatly benefit from similar algorithms. However, due to their lower resolution and limited channel count previously developed systems cannot be directly applied to this task. High-resolution analog multiplication introduces challenges that have limited prior work to less than 6-bit multiplication in the analog domain. Alternative approaches utilizing very high oversampling result in very inefficient solutions. High precision in matrix-multiplication can mitigate the effects of ill-conditioned (almost singular) matrices, as with beamforming separation of near-collinear sources, and other tasks incurring principal component analysis [3] or independent component analysis (ICA) [5]. As seen in Fig. 21.7.1, a large signal dynamic range at the input can results in an untenable dynamic range specification on the downstream data-converters leading to greater than 10× increase in power [4]. Thus, we present a multichannel multiple-input multiple-out (MIMO) mixed-signal linear transform system, with analog signal path and digital coefficient control, composed of an array of 14-bit Nested Thermometer Multiplying DACs (NTMDACs) implementing analog multiplication, and variable gain amplifier (VGA) implementing accumulation. We demonstrate state-of-the art performance on two tasks, spectrally oblivious interference suppression in communication signals and EEG signal separation.

Original languageEnglish (US)
Title of host publication2017 IEEE International Solid-State Circuits Conference, ISSCC 2017
EditorsLaura C. Fujino
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages2
ISBN (Electronic)9781509037575
StatePublished - Mar 2 2017
Event64th IEEE International Solid-State Circuits Conference, ISSCC 2017 - San Francisco, United States
Duration: Feb 5 2017Feb 9 2017

Publication series

NameDigest of Technical Papers - IEEE International Solid-State Circuits Conference
ISSN (Print)0193-6530


Other64th IEEE International Solid-State Circuits Conference, ISSCC 2017
Country/TerritoryUnited States
CitySan Francisco

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering


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