Winner-take-all networks of O(N) complexity
Advances in neural information processing systems 1
Pattern classification: a unified view of statistical and neural approaches
Pattern classification: a unified view of statistical and neural approaches
Analog versus digital: extrapolating from electronics to neurobiology
Neural Computation
Discrete Time Processing of Speech Signals
Discrete Time Processing of Speech Signals
Digital Signal Processor Trends
IEEE Micro
Field-Programmable Analog Arrays: A Floating-Gate Approach
FPL '02 Proceedings of the Reconfigurable Computing Is Going Mainstream, 12th International Conference on Field-Programmable Logic and Applications
Programmable and Adaptive Analog Filters using Arrays of Floating-Gate Circuits
ARVLSI '01 Proceedings of the 2001 Conference on Advanced Research in VLSI
Efficient precise computation with noisy components: extrapolating from an electronic cochlea to the brain
Joint acoustic and modulation frequency
EURASIP Journal on Applied Signal Processing
High fill-factor imagers for neuromorphic processing enabled by floating-gate circuits
EURASIP Journal on Applied Signal Processing
Analog-to-digital converter survey and analysis
IEEE Journal on Selected Areas in Communications
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Machine perception is a difficult problem both from a practical or implementation point of view as well as from a theoretical or algorithmic point of view. Machine perception systems based on biological perception systems show great promise in many areas but they often have processing requirements and/or data flow requirements that are difficult to implement, especially in small or low-power systems. We propose a system design approach that makes it possible to implement complex functionality using cooperative analog-digital signal processing to lower power requirements dramatically over digital-only systems, as well as provide an architecture facilitating the development of biologically motivated perception systems. We show the architecture and application development approach. We also present several reference systems for speech recognition, noise suppression, and audio classification.