Title :
A reconstruction set of a discrete wavelet maxima representation
Author_Institution :
Syst. Res. Center, Maryland Univ., College Park, MD, USA
Abstract :
The structure of a reconstruction set (the set of all signals satisfying a given representation) is studied. Assuming finite data length and using the finite-dimensional linear space approach, a general form of a reconstruction set from a discrete wavelet maxima representation is presented. Necessary and sufficient conditions for uniqueness are described. These conditions can be implemented as a test for uniqueness. Although, in most cases, the discrete wavelet maxima representation is unique, the conjecture about the uniqueness of the wavelet maxima representation is not true. A family of sequences with the same maxima representation is shown. The exact reconstruction set is calculated, and it is shown to consist of similarly shaped sequences
Keywords :
signal processing; wavelet transforms; discrete wavelet maxima representation; finite-dimensional linear space approach; reconstruction set; signal processing; uniqueness; Discrete wavelet transforms; Educational institutions; Filters; Gaussian processes; Pattern matching; Sampling methods; Signal detection; Signal representations; Stability; Testing;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0532-9
DOI :
10.1109/ICASSP.1992.226319