Local discriminant bases and their applications
N Saito, RR Coifman - Journal of Mathematical Imaging and Vision, 1995 - Springer
We describe an extension to the “best-basis” method to select an orthonormal basis suitable
for signal/image classification problems from a large collection of orthonormal bases …
for signal/image classification problems from a large collection of orthonormal bases …
Linear phase paraunitary filter banks: Theory, factorizations and designs
AK Soman, PP Vaidyanathan… - IEEE transactions on …, 1993 - ieeexplore.ieee.org
M channel maximally decimated filter banks have been used in the past to decompose
signals into subbands. The theory of perfect-reconstruction filter banks has also been …
signals into subbands. The theory of perfect-reconstruction filter banks has also been …
A deblocking filter with two separate modes in block-based video coding
SD Kim, J Yi, HM Kim, JB Ra - … on circuits and systems for video …, 1999 - ieeexplore.ieee.org
This paper presents a method to remove blocking artifacts in low bit-rate block-based video
coding. The proposed algorithm has two separate filtering modes, which are selected by …
coding. The proposed algorithm has two separate filtering modes, which are selected by …
Biorthogonal and nonuniform lapped transforms for transform coding with reduced blocking and ringing artifacts
HS Malvar - IEEE Transactions on Signal Processing, 1998 - ieeexplore.ieee.org
New lapped transforms are introduced. The lapped biorthononal transform (LBT) and
hierarchical lapped biorthogonal transform (HLBT) are appropriate for image coding, and …
hierarchical lapped biorthogonal transform (HLBT) are appropriate for image coding, and …
Adaptive covariance estimation of locally stationary processes
S Mallat, G Papanicolaou, Z Zhang - The annals of Statistics, 1998 - projecteuclid.org
It is shown that the covariance operator of a locally stationary process has approximate
eigenvectors that are local cosine functions. We model locally stationary processes with …
eigenvectors that are local cosine functions. We model locally stationary processes with …
Review of postprocessing techniques for compression artifact removal
MY Shen, CCJ Kuo - Journal of visual communication and image …, 1998 - Elsevier
Low bit rate image/video coding is essential for many visual communication applications.
When bit rates become low, most compression algorithms yield visually annoying artifacts …
When bit rates become low, most compression algorithms yield visually annoying artifacts …
Adaptive postfiltering of transform coefficients for the reduction of blocking artifacts
T Chen, HR Wu, B Qiu - … transactions on circuits and systems for …, 2001 - ieeexplore.ieee.org
This paper proposes a novel postprocessing technique for reducing blocking artifacts in low-
bit-rate transform-coded images. The proposed approach works in the transform domain to …
bit-rate transform-coded images. The proposed approach works in the transform domain to …
Non-dispersive wave packets in periodically driven quantum systems
A Buchleitner, D Delande, J Zakrzewski - Physics reports, 2002 - Elsevier
With the exception of the harmonic oscillator, quantum wave packets usually spread as time
evolves. This is due to the non-linear character of the classical equations of motion which …
evolves. This is due to the non-linear character of the classical equations of motion which …
Lapped transform via time-domain pre-and post-filtering
This paper presents a general framework of constructing a large family of lapped transforms
with symmetric basis functions by adding simple time-domain pre-and post-processing …
with symmetric basis functions by adding simple time-domain pre-and post-processing …
Family of iterative LS-based dictionary learning algorithms, ILS-DLA, for sparse signal representation
K Engan, K Skretting, JH Husøy - Digital Signal Processing, 2007 - Elsevier
The use of overcomplete dictionaries, or frames, for sparse signal representation has been
given considerable attention in recent years. The major challenges are good algorithms for …
given considerable attention in recent years. The major challenges are good algorithms for …