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This paper deals with multiwavelets which are a recent generalization of wavelets in the context of multirate filter banks and with their applications to signal processing and especially compression. By their inherent structure, multiwavelets are fit for p ...
This textbook is intended for a graduate-level course and assumes familiarity with basic concepts from matrix theory, linear algebra, and linear system theory. Six appendices at the end of the book provide the reader with enough background and review mater ...
The Karhunen-Loeve transform is a key element of many signal processing tasks, including classification and compression. In this paper, we consider distributed signal processing scenarios with limited communication between correlated sources, and we invest ...
Linear systems of equations with structured coefficient matrices arise in several applications in signal processing and communications. In this paper we develop fast algorithms for updating the solutions of such systems when the coefficient matrices underg ...
Among all the nonlinear effects stimulated Brillouin scattering offers the highest gain in solid materials and has demonstrated advanced photonics functionalities in waveguides. The large compressibility of gases suggests that stimulated Brillouin scat- te ...
A new generation of microprocessors called transputers provide support for multiprocessing and communications. This paper compares performances obtained with different processors (68000 μP, signal processors, transputers) in single and multiprocessor co ...
Signal-processing on graphs has developed into a very active field of research during the last decade. In particular, the number of applications using frames constructed from graphs, like wavelets on graphs, has substantially increased. To attain scalabili ...
Institute of Electrical and Electronics Engineers0
Digital signal processing with filter banks, that is filtering a single signal with several filters and subsequent subsampling (or the converse, that is multiplexing), is an important subject with numerous applications (sub-band coding, transmultiplexing). ...
The field of signal processing has known tremendous progress with the
development of digital signal processing. The first foundation of digital signal processing is due to Shannon's sampling theorem which shows that any bandlimited analog signal can... ...
This correspondence deals with multiwavelets, which are a recent generalization of wavelets in the context of time-varying filter banks and with their applications to signal processing and especially com- pression. By their inherent structure, multiwavelet ...