Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/1862
Title: Adaptive scratch noise filtering
Authors: Lane, John E. 
Kasparis, Takis 
metadata.dc.contributor.other: Κασπαρής, Τάκης
Major Field of Science: Engineering and Technology
Field Category: Electrical Engineering - Electronic Engineering - Information Engineering
Keywords: Recording instruments;Microcomputers;Signal processing;Magnetic memory (Computers);Algorithms
Issue Date: Nov-1993
Source: IEEE Transactions on Consumer Electronics, 1993, vol. 39, no. 4, pp. 917-922
Journal: IEEE Transactions on Consumer Electronics 
Abstract: An adaptive method for suppressing scratch (impulsive) noise from audio signals is proposed. The algorithm has been developed primarily for the restoration of old phonograph records, but it can also be used for other applications as well. Impulses are suppressed by selectively applying variable length median filtering to contaminated signal regions only, thus minimizing distortion of clean passages and loss of high musical frequencies. The median window length is adaptively adjusted depending on the number of samples in each contaminated signal region. For off-line processing, the algorithm is simple enough to be implemented on a personal computer equipped with an inexpensive sound board. Experiments with old recordings produced restored signals of dramatically improved sound quality. The restored audio signal can be played through the sound board and stored onto an analog recording media such as high-quality cassette tapes.
URI: https://hdl.handle.net/20.500.14279/1862
ISSN: 00983063
DOI: 10.1109/30.267417
Rights: © 1993 IEEE
Type: Article
Affiliation : University of Central Florida 
Appears in Collections:Άρθρα/Articles

CORE Recommender
Show full item record

SCOPUSTM   
Citations

10
checked on Nov 9, 2023

WEB OF SCIENCETM
Citations

8
Last Week
0
Last month
0
checked on Oct 29, 2023

Page view(s) 20

453
Last Week
5
Last month
27
checked on Apr 30, 2024

Google ScholarTM

Check

Altmetric


Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.