Thesis etd-02282008-130553 |
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Thesis type
Tesi di dottorato di ricerca
URN
etd-02282008-130553
Thesis title
SOFT COMPUTING METHODS FOR CHANNEL AND NOISE ESTIMATION IN POWER-LINE COMMUNICATIONS
Academic discipline
ING-IND/31 - ELETTROTECNICA
Course of study
APPLIED ELECTROMAGNETISM IN ELECTRICAL AND BIOMEDICAL ENGINEERING, ELECTRONICS, SMART SENSORS, NANO-TECHNOLOGIES
Supervisors
.
Relatore Prof. Raugi, Marco
Keywords
- decision directed estimation
- impulsive noise
- power-line communications
- soft computing
Graduation session start date
26/03/2008
Availability
Partial
Release date
26/03/2048
Abstract (Inglese)
Abstract (Italiano)
This work presents original developed methods, belonging to the soft computing area, that have been applied to solve complex signal processing problems arising in communication systems with “adverse” conditions. The adverse conditions are given by the fact that the considered physical channel is non-linear, non stationary, and the noise is coloured impulsive noise. Modified vector quantization algorithms have been developed for adaptive channel estimation and equalization inside a digital transmission. An unsupervised hierarchical clustering method based on fuzzy partitions has been proposed and application to identification of different noise sources is discussed. The presented soft computing techniques have been developed within the area of digital communication, nevertheless they posses general applicability
File
| Nome file | Dimensione |
|---|---|
| frontespizio_B5.pdf | 26.12 Kb |
| tesi.pdf | 977.53 Kb |
1 file non consultabili su richiesta dell’autore. |
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