A digital signal processing architecture for iterative deconvolution restoration algorithms

1992 ◽  
Vol 41 (1) ◽  
pp. 147-151 ◽  
Author(s):  
R.B. Whitted ◽  
P.B. Crilly
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Signal ◽  
Restoration Algorithms ◽  
Processing Architecture ◽  
Iterative Deconvolution

Part II--Digital signal processing architecture

1978 ◽  
Vol 16 (1) ◽  
pp. 23-27 ◽  
Author(s):  
S. Tewksbury ◽  
R. Kieburtz ◽  
J.S. Thompson ◽  
S. Verma
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Signal ◽  
Processing Architecture

DSP Techniques for Sound Enhancement of Old Recordings

2011 ◽  
pp. 93-130 ◽  
Author(s):  
Paulo A.A. Esquef ◽  
Luiz W.P. Biscainho
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Signal ◽  
Audio Recordings ◽  
Restoration Algorithms ◽  
Processing Techniques ◽  
Signal Processing Techniques

This chapter addresses digital signal processing techniques for sound restoration and enhancement. The most common sound degradations found in audio recordings, such as thumps, pops, clicks, and hiss are characterized. Moreover, the most popular solutions for sound restoration are described, with emphasis on their practical applicability. Finally, critical views on the performance of currently available restoration algorithms are provided, along with discussions on new tendencies observed in the field.

DSP Techniques for Sound Enhancement of Old Recordings

2011 ◽  
pp. 307-341
Author(s):  
Paulo A.A. Esquef ◽  
Luiz W.P. Biscainho
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Signal ◽  
Audio Recordings ◽  
Restoration Algorithms ◽  
Processing Techniques ◽  
Signal Processing Techniques

This chapter addresses digital signal processing techniques for sound restoration and enhancement. The most common sound degradations found in audio recordings, such as thumps, pops, clicks, and hiss are characterized. Moreover, the most popular solutions for sound restoration are described, with emphasis on their practical applicability. Finally, critical views on the performance of currently available restoration algorithms are provided, along with discussions on new tendencies observed in the field.

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