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A Class of Fast Gaussian Binomial Filters for Speech and Image Processing
Richard A. Haddad
,
Ali N. Akansu
Electrical and Computer Engineering
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Contribution to journal
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peer-review
240
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Dive into the research topics of 'A Class of Fast Gaussian Binomial Filters for Speech and Image Processing'. Together they form a unique fingerprint.
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Keyphrases
Image Processing
100%
Low-pass Filter
100%
Speech Processing
100%
Two Dimensional
50%
Spatial Domain
50%
Filter Bank
50%
Batch Processing
50%
FIR Filter
50%
Bandpass
50%
Impulse Response
50%
High-pass Filter
50%
Amplitude-frequency Characteristic
50%
Quadrature Mirror Filter
50%
Time-spatial
50%
Data Array
50%
Binomial Algorithm
50%
Mirror Pyramids
50%
Linear Data
50%
Gaussian Point Spread Function
50%
Image Array
50%
Gaussian Filter
50%
In-place Algorithm
50%
Center Frequency
50%
Engineering
Image Processing
100%
Gaussians
100%
Speech Processing
100%
Binomial Filter
100%
Lowpass Filter
50%
Two Dimensional
25%
One Dimensional
25%
Point Spread Function
25%
Front End
25%
Frequency Response
25%
Spatial Domain
25%
FIR Filter
25%
Digital Filter
25%
Impulse Response
25%
Batch Processing
25%
Pass Band
25%
High Pass Filter
25%
Gaussian Filter
25%
Array Data
25%
Subblocks
25%
Mathematics
Gaussian Distribution
100%
Image Processing
100%
Low-Pass Filter
50%
Approximates
25%
Spatial Domain
25%
Impulse Response
25%
Frequency Response
25%
Gaussian Filter
25%
High-Pass Filter
25%
Biochemistry, Genetics and Molecular Biology
Gaussian Distribution
100%