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Unsupervised Signal Processing - Channel Equalization and Source Separation
João Marcos Travassos Romano; Romis Attux; Charles Casimiro Cavalcante; Ricardo Suyama
Taylor & Francis Inc (2010)
Kovakantinen kirja
205,00
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Chaotic Signals in Digital Communications
Marcio Eisencraft; Romis Attux; Ricardo Suyama
Taylor & Francis Inc (2013)
Kovakantinen kirja
301,40
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Chaotic Signals in Digital Communications
Marcio Eisencraft; Romis Attux; Ricardo Suyama
Taylor & Francis Ltd (2017)
Pehmeäkantinen kirja
116,70
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ostoskoriin kpl
Siirry koriin
Unsupervised Signal Processing - Channel Equalization and Source Separation
205,00 €
Taylor & Francis Inc
Sivumäärä: 340 sivua
Asu: Kovakantinen kirja
Painos: 1
Julkaisuvuosi: 2010, 28.09.2010 (lisätietoa)
Kieli: Englanti
Unsupervised Signal Processing: Channel Equalization and Source Separation provides a unified, systematic, and synthetic presentation of the theory of unsupervised signal processing. Always maintaining the focus on a signal processing-oriented approach, this book describes how the subject has evolved and assumed a wider scope that covers several topics, from well-established blind equalization and source separation methods to novel approaches based on machine learning and bio-inspired algorithms.

From the foundations of statistical and adaptive signal processing, the authors explore and elaborate on emerging tools, such as machine learning-based solutions and bio-inspired methods. With a fresh take on this exciting area of study, this book:






Provides a solid background on the statistical characterization of signals and systems and on linear filtering theory
Emphasizes the link between supervised and unsupervised processing from the perspective of linear prediction and constrained filtering theory
Addresses key issues concerning equilibrium solutions and equivalence relationships in the context of unsupervised equalization criteria
Provides a systematic presentation of source separation and independent component analysis
Discusses some instigating connections between the filtering problem and computational intelligence approaches.

Building on more than a decade of the authors’ work at DSPCom laboratory, this book applies a fresh conceptual treatment and mathematical formalism to important existing topics. The result is perhaps the first unified presentation of unsupervised signal processing techniques—one that addresses areas including digital filters, adaptive methods, and statistical signal processing. With its remarkable synthesis of the field, this book provides a new vision to stimulate progress and contribute to the advent of more useful, efficient, and friendly intelligent systems.

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Tilaustuote | Arvioimme, että tuote lähetetään meiltä noin 3-4 viikossa. | Tilaa jouluksi viimeistään 27.11.2024
Myymäläsaatavuus
Helsinki
Tapiola
Turku
Tampere
Unsupervised Signal Processing - Channel Equalization and Source Separationzoom
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ISBN:
9780849337512
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