Title :
Turbo Iterative Signal Processing
Author :
Sun, Hong ; Maître, Henri
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;
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
DOI :
10.1109/DSP.2009.4785974
