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Details of Grant 

EPSRC Reference: GR/M26886/01
Title: BAYESIAN NONLINEAR CHANNEL MODELLING FOR RESTORATION OF DISTROTED AUDIO SIGNALS
Principal Investigator: Godsill, Professor S
Other Investigators:
Rayner, Professor P
Researcher Co-Investigators:
Project Partners:
Department: Engineering
Organisation: University of Cambridge
Scheme: Standard Research (Pre-FEC)
Starts: 01 October 1998 Ends: 31 October 1999 Value (£): 41,464
EPSRC Research Topic Classifications:
Digital Signal Processing
EPSRC Industrial Sector Classifications:
No relevance to Underpinning Sectors
Related Grants:
Panel History:  
Summary on Grant Application Form
There has been much research into the removal of clicks, crackle and noise from audio recordings, but there is not yet a satisfactory technique for removing the non linear distortion which is introduced by, for example, tape and Head saturation in magnetic recording and tracing distortions in records.Our program will extend the limited existing work on the restoration of distorted audio signals. We will elaborate an existing channel model to incorporate realistic effects such as band limiting, de-emphasis filters. We propose alternative non-linear terms based on physical models of distortion process. We propose to improve the souse model in a hierarchical Bayseian structure in model to improve efficiency.Performance of proposed channel models will be evaluated using input/output methods, and restoration by performance by using time-aligned test data sets. On the basis of these results, we intend to cjhoose a model family, as a basis for prototype software implementation. Care will be taken to present the user with useful, not confusing, parameters for control
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Organisation Website: http://www.cam.ac.uk