@inbook{46a7a35246cf46d6889d85bc94d1bb09,
title = "Optimal filters in the frequency domain",
abstract = "We now investigate the design of noise reduction filters in the frequency domain, which is an alternative to the time-domain approach studied in the previous chapter. In the real world, frequency-domain filters are, by far, the most popular methods. This is mainly because: 1) the filters at different frequencies (or frequency bands) are designed and handled independently with each other, therefore there is a significant flexibility in dealing with colored noise; 2) most of our knowledge and understanding of speech production and perception is related to frequencies; and 3) thanks to the fast Fourier transform (FFT), the implementation of frequency-domain filters are generally very efficient. So, in this chapter, we develop some widely used classical frequency-domain filters and discuss their properties.",
keywords = "Clean Speech, Noise Reduction, Noisy Speech, Optimal Filter, Speech Signal",
author = "Jacob Benesty and Jingdong Chen and Yiteng Huang and Israel Cohen",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2009.",
year = "2009",
doi = "10.1007/978-3-642-00296-0_8",
language = "英语",
series = "Springer Topics in Signal Processing",
publisher = "Springer Science and Business Media B.V.",
pages = "1--18",
booktitle = "Springer Topics in Signal Processing",
}