Noise and Representation Systems A Comparison Among Audio Restoration Algorithms
Noise and Representation Systems: A Comparison Among Audio Restoration Algorithms by Sergio Canazza, published by Lulu.com on April 10, 2007, is a detailed examination of noise reduction techniques in audio processing. This edition, comprising 124 pages, presents various methodologies for identifying and eliminating both local and global disturbances in sound, with a focus on different signal representations.
Readers will find a comprehensive overview of classic and innovative algorithms used in audio restoration, including those based in both the frequency and time domains. The text also addresses the challenges in establishing evaluation criteria for these algorithms, concluding with a discussion on numeric indexes that indicate the effects of audio restoration processes. This work is relevant for those interested in the fields of science and technology, particularly in acoustics and sound engineering.
Official synopsis Publisher
This text provides an overview of the various approaches used for noise reduction, with an emphasis on the differents signal representations. In particular, the classic methodologies for the individuation and removal of local and global disturbances are described. Moreover, some innovative algorithms are illustrated in detail: the algorithms based in the frequency domain are explained, as well as those based in the time domain. It is very difficult to identify evaluation criteria for the results of the various audio restoration algorithms. The last section focus on some numeric indexes, which aim at indicating the effects of an audio restoration process.
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