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Advances in Robotics: Modeling, Control and Applications
Title
Advances in Robotics: Modeling, Control and Applications
Editor
Calin Ciufudean and Lino García
Price
USD$139.00
ISBN
978-1-461108-443
Clicks
33280

Chapter 6

Advances in Robotics: Modeling, Control and Applications

Adaptive Acoustic

by Lino García Morales and Antonio Mínguez Olivares

Viewed: 1921

Abstract

The robots operate in complex environments: they receive inputs, process and produce outputs. Many of the environment information are recollected through visual and acoustic sensors which are processed by simulating human-brain cognition process.The speech and the sound are complex signals very sensitive to the environment (normally reverberating and noisy rooms), time-variants, etc. while the auditory perceptual system and the cognitive processes are highly no lineal and just quite unknown. The adaptive filtering techniques are an usual approach that have plenty of applications in any areas where the modeled signals or systems are constantly changing. An adaptive filter is a system whose structure is alterable or adjustable in such a way that its behavior or performance improves through contact with its environment. This chapter focuses on adaptive filtering techniques for acoustics applications. Multichannel multirate specialized structures for acoustical applications are presented as general cases. Five approaches are studied: spectral equalization, adaptive linear prediction (ALP), adaptive noise cancellation (ANC), beamforming and deconvolution or derreverberation.

Author Details

Lino García Morales
Universidad Politécnica de Madrid, Spain
Antonio Mínguez Olivares
Universidad Politécnica de Madrid, Spain

Citation

Lino García Morales and Antonio Mínguez Olivares. Adaptive Acoustic. In Advances in Robotics: Modeling, Control and Applications. ISBN:978-1-461108-443. iConcept Press. 0000.

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