Sign in

A 1.9Gb/s 358mW 16-to-256 State Reconfigurable Viterbi Accelerator in 90nm CMOS.

Mark A. AndersSanu MathewSteven HsuRam KrishnamurthyShekhar Borkar
Published in: ISSCC (2007)
Keyphrases
  • power consumption
  • power supply
  • low cost
  • high speed
  • hidden markov models
  • data mining
  • general purpose
  • neural network
  • reinforcement learning
  • state space
  • hardware implementation
  • power plant