Detail Wavelets, Approximation, and Compression   Oleh:  Vetterli, M. Jenis: Article from Bulletin/Magazine Dalam koleksi: IEEE Signal Processing Magazine vol. 18 no. 5 (2001), page 59-73. Topik: Wavelet; wavelet; approximation; compression Ketersediaan Perpustakaan Pusat (Semanggi) Nomor Panggil: SS26.5 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada     Lihat Detail Induk Isi artikel Over the last decade or so, wavelets have had a growing impact on signal processing theory and practice, both because of the unifying role and their successes in applications. Filter banks, which lie at the heart of wavelet - based algorithms, have become standard signal processing operators, used routinely in applications ranging from compression to modems. The contributions of wavelets have often been in the subtle interplay between discrete - time and continuous - time signal processing. The purpose of this article is to look at wavelet advances from a signal processing perspective. In particular, approximation results are reviewed, and the implication on compression algorithms is discussed. New constructions and open problems are also addressed. Opini Anda Klik untuk menuliskan opini Anda tentang koleksi ini! Kembali

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