A Digital Filter for Stochastic Systems with Unknown Structure and Its Application to Psychological Evaluation of Sound Environment(Adaptive Signal Processing, <Special Section>Recent Advances in Circuits and Systems-Part 1)

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概要

• 論文の詳細を見る

• The actual sound environment system exhibits various types of linear and non-linear characteristics, and it often contains an unknown structure. Furthermore, the observations in the sound environment are often in the level-quantized form. In this paper, a method for estimating the specific signal for stochastic systems with unknown structure and the quantized observation is proposed by introducing a system model of the conditional probability type. The effectiveness of the proposed theoretical method is confirmed by applying it to the actual problem of psychological evaluation for the sound environment.

• 社団法人電子情報通信学会の論文
• 2005-07-01

著者

• Ikuta Akira

  Prefectural Univ. Hiroshima Hiroshima‐shi Jpn

• Ikuta Akira

  Dept. Of Management And Information Systems Prefectural University Of Hiroshima

• Ohta Mitsuo

  New Life Hiroshima

• MASUIKE Hisako

  NTT DATA Chugoku Co.

• Masuike Hisako

  Hiroshima National Coll. Of Maritime Technol. Hiroshima‐shi Jpn

関連論文

• A Digital Filter for Stochastic Systems with Unknown Structure and Its Application to Psychological Evaluation of Sound Environment(Adaptive Signal Processing, Recent Advances in Circuits and Systems-Part 1)
• Static and Dynamic Signal Processing Methods for Noise Cancellation in Sound and Electromagnetic Environment
• A Cancellation Method of Background Noise for a Sound Environment System with Unknown Structure (Special Section on Noise Cancellation and Reduction Techniques)
• Adaptive Noise Suppression Algorithm for Speech Signal Based on Stochastic System Theory

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