Turbo Iterative Signal Processing

Author

Sun, Hong ; Maître, Henri

fYear

2009

fDate

4-7 Jan. 2009

Firstpage

495

Lastpage

500

Abstract

A Turbo iterative method for signal processing is proposed. This method is a kind of multi-systems collaborative signal processing through iteration: several independent systems work in rotation, and each system takes feedback information from the other systems as a priori condition. We have applied such a Turbo iterative signal processing (TISP) method on speech signal enhancement, and on SAR (synthetic aperture radar) image filtering, segmentation and fusion. Some practical results presented in this article show that the Turbo iterative algorithm converges after 5-10 iterations and it improve greatly the signal processing performance. The TISP also shows an effective machine learning method, that is making a discussion between several independent systems through Turbo iteration.

Keywords

image fusion; image segmentation; iterative methods; learning (artificial intelligence); speech enhancement; turbo codes; SAR; Turbo iterative signal processing; image filtering; image fusion; image segmentation; machine learning; multi-systems collaborative signal processing; speech signal enhancement; synthetic aperture radar; Collaborative work; Feedback; Filtering; Iterative methods; Radar signal processing; Signal processing; Signal processing algorithms; Speech enhancement; Speech processing; Synthetic aperture radar; Iterative signal processing method; Turbo iteration; image processing; machine learning; speech processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, 2009. DSP/SPE 2009. IEEE 13th

Conference_Location

Marco Island, FL

Print_ISBN

978-1-4244-3677-4

Electronic_ISBN

978-1-4244-3677-4

Type

conf

DOI

10.1109/DSP.2009.4785974

Filename

4785974