Describes the feasibility of selecting a fractal feature vector based on M-band wavelet
transform to classify ultrasonic liver images-normal liver, cirrhosis, and hepatoma. The …

The theory of the orthogonal transform coder and methods for its optimal design have been
known for a long time. We derive a set of necessary and sufficient conditions for the coding …

The present bibliography represents a comprehensive list of references on cyclostationarity
and its applications. An attempt has been made to make this bibliography complete by listing …

Multi-channel signals captured by spatially separated sensors often contain a high level of
data redundancy. A compact signal representation enables more efficient storage and …

The problem of paraunitary (PU) filter bank design for subband coding has received
considerable attention in recent years, not least because of the energy preserving property …

Digital signal processing has played a key role in the development of telecommunication
systems over the last two decades. In recent years digital filter banks have been occupying …

The last fifteen years have witnessed a tremendous resurgence in research and applications
in the area of higher-order statistics (HOS), a broad term encompassing statistical …

This paper presents a new approach for the estimation of wavelets that is matched to a given
signal in the statistical sense. Based on this approach, a number of new methods to estimate …

Generalized sampling provides a general mechanism for recovering an unknown input
function f (x)/spl epsiv//spl Hscr/from the samples of the responses of m linear shift-invariant …

The problem of optimum FIR energy compaction filter design for a given number of channels
M and a filter order N is considered. The special cases where N< M and N= 1 have …