Blind Deconvolution of Multi-Input Single-Output Systems With Binary Sources

The problem of blind source separation for multi-input single-output (MISO) systems with binary inputs is treated in this paper. Our approach exploits the constellation properties of the successor values for each output sample. In the absence of noise, the successors of each output value form a char...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on signal processing 2006-10, Vol.54 (10), p.3720-3731
Hauptverfasser:	Diamantaras, K.I., Papadimitriou, T.
Format:	Artikel
Sprache:	eng
Schlagworte:	Acoustic noise Algorithms Applied sciences Binary sources Binary systems blind deconvolution Blind source separation Blinds Clustering Coding, codes Constellations Context data clustering data correction Deconvolution Detection, estimation, filtering, equalization, prediction Educational programs Exact sciences and technology filter deflation Filters Hidden Markov models Information, signal and communications theory Invariants Mathematical models Microphone arrays Miscellaneous multi-input single-output (MISO) systems Noise Signal and communications theory Signal processing Signal representation. Spectral analysis Signal, noise Studies Telecommunications and information theory Transmitters
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!