2009 - Jack S. Kilby Signal Processing Medal For contributions to Fast Fourier Transform algorithms
1976 - Fellow of the American Association for the Advancement of Science (AAAS)
His primary scientific interests are in Fast Fourier transform, Rader's FFT algorithm, Cyclotomic fast Fourier transform, Split-radix FFT algorithm and Prime-factor FFT algorithm. His Rader's FFT algorithm research integrates issues from Discrete Hartley transform and Arithmetic. His Discrete Hartley transform study which covers Convolution that intersects with Hartley transform and Overlap–add method.
Bruun's FFT algorithm, Bluestein's FFT algorithm and Applied mathematics is closely connected to Discrete Fourier transform in his research, which is encompassed under the umbrella topic of Cyclotomic fast Fourier transform. His Split-radix FFT algorithm study integrates concerns from other disciplines, such as Algorithm and Twiddle factor. C.S. Burrus interconnects Discrete wavelet transform, Stationary wavelet transform, Wavelet packet decomposition, Cascade algorithm and Pure mathematics in the investigation of issues within Algorithm.
His main research concerns Algorithm, Wavelet, Fast Fourier transform, Wavelet transform and Finite impulse response. His Algorithm study combines topics from a wide range of disciplines, such as Convolution, Mathematical optimization and Discrete Fourier transform. His study in Wavelet concentrates on Discrete wavelet transform, Wavelet packet decomposition, Cascade algorithm and Multiresolution analysis.
C.S. Burrus has included themes like Cyclotomic fast Fourier transform, Split-radix FFT algorithm, Prime-factor FFT algorithm, Arithmetic and Rader's FFT algorithm in his Fast Fourier transform study. He works mostly in the field of Wavelet transform, limiting it down to topics relating to Discrete mathematics and, in certain cases, Polynomial, as a part of the same area of interest. His Finite impulse response research is multidisciplinary, incorporating perspectives in Frequency response, Algorithm design and Passband.
C.S. Burrus focuses on Algorithm, Wavelet, Wavelet transform, Discrete wavelet transform and Computer vision. His work in the fields of Algorithm, such as Finite impulse response, overlaps with other areas such as Filter bank. His Wavelet study frequently draws parallels with other fields, such as Cepstrum.
His study in the field of Stationary wavelet transform, Wavelet packet decomposition, Harmonic wavelet transform and Second-generation wavelet transform also crosses realms of Electronic mail. C.S. Burrus works in the field of Discrete wavelet transform, focusing on Lifting scheme in particular. His work deals with themes such as Low-pass filter, Prototype filter, High-pass filter and Speech recognition, which intersect with Lifting scheme.
C.S. Burrus mainly investigates Multimedia, Information technology, Computer vision, Artificial intelligence and Wavelet. His Multimedia study frequently links to related topics such as Embodied cognition. His Information technology research includes a combination of various areas of study, such as Quality, Digital signal processing, Individual learning and XML.
Many of his studies on Computer vision involve topics that are commonly interrelated, such as Detection performance. His is doing research in Speckle noise, Wavelet packet decomposition, Discrete wavelet transform, Complex wavelet transform and Harmonic wavelet transform, both of which are found in Artificial intelligence. His Wavelet study frequently draws connections to other fields, such as Algorithm.
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Introduction to Wavelets and Wavelet Transforms: A Primer
C. S. Burrus;Ramesh A. Gopinath;Haitao Guo;Jan E. Odegard.
Digital Filter Design
T. W. Parks;C. S. Burrus.
Noise reduction using an undecimated discrete wavelet transform
M. Lang;H. Guo;J.E. Odegard;C.S. Burrus.
IEEE Signal Processing Letters (1996)
Real-valued fast Fourier transform algorithms
H. Sorensen;D. Jones;M. Heideman;C. Burrus.
IEEE Transactions on Acoustics, Speech, and Signal Processing (1987)
Gauss and the history of the fast fourier transform
M. Heideman;D. Johnson;C. Burrus.
IEEE Assp Magazine (1984)
A unified analysis of multirate and periodically time-varying digital filters
R. Meyer;C. Burrus.
IEEE Transactions on Circuits and Systems (1975)
Theory of regular M-band wavelet bases
P. Steffen;P.N. Heller;R.A. Gopinath;C.S. Burrus.
IEEE Transactions on Signal Processing (1993)
Fast Convolution using fermat number transforms with applications to digital filtering
R. Agarwal;C. Burrus.
IEEE Transactions on Acoustics, Speech, and Signal Processing (1974)
On computing the discrete Hartley transform
H. Sorensen;D. Jones;C. Burrus;M. Heideman.
IEEE Transactions on Acoustics, Speech, and Signal Processing (1985)
Number theoretic transforms to implement fast digital convolution
R.C. Agarwal;C.S. Burrus.
Proceedings of the IEEE (1975)
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