Data reduction for high quality digital audio storage and transmission

1994 ◽  
Author(s):  
F.J. Rumsey
Keyword(s):  
Data Reduction ◽  
Digital Audio ◽  
High Quality

A high-quality digital audio filter set designed by silicon compiler CATHEDRAL-1

1986 ◽  
Vol 21 (6) ◽  
pp. 1067-1075 ◽  
Author(s):  
J.K.J. Van Ginderdeuren ◽  
H.J. De Man ◽  
B.J.S. De Loore ◽  
H. Vanden Wigngaert ◽  
A. Delaruelle ◽  
...  
Keyword(s):  
Digital Audio ◽  
High Quality ◽  
Silicon Compiler

A high-quality digital audio delivery bluetooth platform

2006 ◽  
Vol 52 (3) ◽  
pp. 909-916 ◽  
Author(s):  
A. Floros ◽  
N.-A. Tatlas ◽  
J. Mourjopoulos
Keyword(s):  
Digital Audio ◽  
High Quality

Perceptual Coding of High-Quality Digital Audio

2013 ◽  
Vol 101 (9) ◽  
pp. 1905-1919 ◽  
Author(s):  
Karlheinz Brandenburg ◽  
Christof Faller ◽  
Juergen Herre ◽  
James D. Johnston ◽  
W. Bastiaan Kleijn
Keyword(s):  
Digital Audio ◽  
Perceptual Coding ◽  
High Quality

DIGITAL RESTORATION OF DAMAGED PHONOGRAPH RECORDS

1994 ◽  
Vol 04 (01) ◽  
pp. 109-115
Author(s):  
TAKIS KASPARIS ◽  
JOHN LANE
Keyword(s):  
Personal Computer ◽  
Impulsive Noise ◽  
Audio Signal ◽  
Sound Quality ◽  
Recording Media ◽  
Digital Audio ◽  
Median Filtering ◽  
Digital Form ◽  
High Quality ◽  
Digital Restoration

A method for digital restoration of phonograph recordings contaminated by impulsive noise is proposed. Impulses are suppressed by applying median filtering on contaminated signal regions only, thus minimizing distortion of clean passages and loss of high musical frequencies. The algorithm can be implemented on a personal computer equipped with any inexpensive sound board, and thus it can be used for the restoration of damaged records in home collections. In experiments with old recordings the improvement in sound quality was dramatic. The restored audio signal can be archived in digital form on regular computer back-up tapes or on digital audio tapes, or it can be played through the sound board and stored onto an analog recording media such as high-quality cassette tapes.

scholarly journals MAINTAINING FINANCIAL DATA QUALITY FOR BUSINESS INTELLIGENCE

2021 ◽  
Author(s):  
Naveen Kunnathuvalappil Hariharan
Keyword(s):  
Data Mining ◽  
Business Intelligence ◽  
Data Reduction ◽  
Input Data ◽  
Financial Data ◽  
Primary Sources ◽  
Data Validation ◽  
High Quality ◽  
Original Dataset ◽  
Business Intelligence Systems

Only when the input data is reliable can mathematicalmodels and business intelligence systems for decisionmaking produce accurate and effective outputs. However,data taken from primary sources and gathered in a datamart may contain several anomalies that analysts mustidentify and correct. This research covers the activitiesinvolved in creating a high-quality dataset for businessintelligence and data mining. Three techniques areaddressed to achieve this goal: data validation, whichdetects and reduce anomalies and inconsistencies; datamodification, which enhances the precision and robustnessof learning algorithms; and data reduction, whichproduces a set of data with fewer characteristics andrecords but is just as insightful as the original dataset.

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