Fast and Low Power Viterbi Search Engine Using Inverse Hidden Markov Model(Communication Theory and Systems)(<Special Section>Applications and Implementations of Digital Signal Processing)

スポンサーリンク

概要

• 論文の詳細を見る

• Viterbi search engine in speech recognition consumes many computation time and hardware resource for finding maximum likelihood in HMM (Hidden Markov Model). We propose a fast Viterbi search engine using IHMM (Inverse Hidden Markov Model). A benefit of this method is that we can remove redundant computation of path matrix. The power consumption and the computational time are reduced by 68.6% at the 72.9% increase in terms of the number of gates.

• 社団法人電子情報通信学会の論文
• 2004-03-01

著者

• Kim B‐s

  School Of Information And Communication Sungkyunkwan University

• Kim Bo-sung

  School Of Information And Communication Sungkyunkwan University

• Cho Jun-dong

  School Of Information And Communication Sungkyunkwan University

関連論文

• New design based metrology for fast detection of crucial lithographic defects (Special issue: Microprocesses and nanotechnology)
• A Fast Sorting VLSI Architecture for General-Purpose Standard Median Filters(Image Processing)(Applications and Implementations of Digital Signal Processing)
• Fast and Low Power Viterbi Search Engine Using Inverse Hidden Markov Model(Communication Theory and Systems)(Applications and Implementations of Digital Signal Processing)
• A Folded VLSI Architecture of Decision Feedback Equalizer for QAM Modem(Communication Theory and Systems)(Applications and Implementations of Digital Signal Processing)

スポンサーリンク