Title :
Maximum energy principle of multiple transforms in data compression
Author :
Zou, Feng ; Gallagher, Richard R.
Author_Institution :
Dept. of Electr. & Comput. Eng., Kansas State Univ., Manhattan, KS, USA
fDate :
12/1/1995 12:00:00 AM
Abstract :
A novel approach in signal decomposition and data compression is proposed based on the maximum energy principle (MEP) of multiple transforms (MEPOMT). The complementary property of the discrete cosine transform (DCT) and wavelet transform (WT) in signal decomposition makes MEPOMT an efficient data compression method for signals containing both narrowband and wideband components
Keywords :
data compression; discrete cosine transforms; wavelet transforms; DCT; MEP; MEPOMT; WT; complementary property; data compression; maximum energy principle; multiple transforms; narrowband components; signal decomposition; wideband components; Availability; Data compression; Discrete cosine transforms; Discrete transforms; Discrete wavelet transforms; Indexing; Narrowband; Robustness; Signal resolution; Wideband;
Journal_Title :
Signal Processing, IEEE Transactions on
