Integer sub-optimal Karhunen-Loeve transform for multi-channel lossless EEG compression

Author

Wongsawat, Yodchanan ; Oraintara, Soontorn ; Rao, K.R.

Author_Institution

Dept. of Electr. Eng., Univ. of Texas at Arlington, Arlington, TX, USA

fYear

2006

fDate

4-8 Sept. 2006

Firstpage

1

Lastpage

5

Abstract

In this paper, a method for approximating the Karhunen-Loeve Transform (KLT) for the purpose of multi-channel lossless electroencephalogram (EEG) compression is proposed. The approximation yields a near optimal transform for the case of Markov process, but significantly reduces the computational complexity. The sub-optimal KLT is further parameterized by a ladder factorization, rendering a reversible structure under quantization of coefficients called IntSKLT. The IntSKLT is then used to compress the multi-channel EEG signals. Lossless coding results show that the degradation in compression ratio using the IntSKLT is about 3% when the computational complexity is reduced by more than 60%.

Keywords

Karhunen-Loeve transforms; Markov processes; computational complexity; data compression; electroencephalography; matrix decomposition; medical signal processing; KLT; Karhunen-Loeve transform; Markov process; computational complexity; electroencephalogram; ladder factorization; multichannel lossless EEG compression; near optimal transform; Abstracts; Encoding; Markov processes; Radio access networks; Transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Conference, 2006 14th European

Conference_Location

Florence

ISSN

2219-5491

Type

conf

Filename

7071329