Optimal Time-Domain Noise Reduction Filters (eBook)

A Theoretical Study

Jacob Benesty, Jingdong Chen (Autoren)

eBook Download: PDF

2011 | 2011
VII, 79 Seiten
Springer Berlin (Verlag)
978-3-642-19601-0 (ISBN)

Infos

Additive noise is ubiquitous in acoustics environments and can affect the intelligibility and quality of speech signals. Therefore, a so-called noise reduction algorithm is required to mitigate the effect of the noise that is picked up by the microphones. This work proposes a general framework in the time domain for the single and multiple microphone cases, from which it is very convenient to derive, study, and analyze all kind of optimal noise reduction filters. Not only that all known algorithms can be deduced from this approach, shedding more light on how they function, but new ones can be discovered as well.

Inhalt

Introduction.- Single-Channel Noise Reduction with a Filtering Vector.- Single-Channel Noise Reduction with a Rectangular Filtering Matrix.- Multichannel Noise Reduction with a Filtering Vector.- Multichannel Noise Reduction with a Rectangular Filtering Matrix.

Produkt-Details

• Erscheint lt. Verlag: 15.4.2011
• Reihe/Serie: SpringerBriefs in Electrical and Computer Engineering
• Zusatzinfo: VII, 79 p. 1 illus. in color.
• Verlagsort: Berlin
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Themenwelt: Technik ► Nachrichtentechnik
• Schlagworte: LCMV filter • maximun SNR filter • MDVR filter • Microphone Arrays • Multichannel • noise reduction • prediction filter • single-channel • space-time prediction filter • Speech Enhancement • time domain • tradeoff filter • Wiener Filter
• ISBN-10: 3-642-19601-2 / 3642196012
• ISBN-13: 978-3-642-19601-0 / 9783642196010