EXPLOITING CORRELATION IN NEURAL SIGNALS FOR DATA COMPRESSION

被引：0

作者：

Schmale, S. ^{[1
]}

Hoeffmann, J. ^{[1
]}

Knoop, B. ^{[1
]}

Kreiselmeyer, G. ^{[2
]}

Hamer, H. ^{[2
]}

Peters-Drolshagen, D. ^{[1
]}

Paul, S. ^{[1
]}

机构：

[1] Univ Bremen, Inst Electrodynam & Microelect ITEM Me, D-28359 Bremen, Germany

[2] Univ Hosp Erlangen, Epilepsy Ctr Erlangen EZE, Erlangen, Germany

来源：

2014 PROCEEDINGS OF THE 22ND EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO) | 2014年

关键词：

Neural Signals; Correlation; Data Compression; Compressed Sensing; Sparse Coding;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Progress in invasive brain research relies on signal acquisition at high temporal- and spatial resolutions, resulting in a data deluge at the (wireless) interface to the external world. Hence, data compression at the implant site is necessary in order to comply with the neurophysiological restrictions, especially when it comes to recording and transmission of neural raw data. This work investigates spatial correlations of neural signals, leading to a significant increase in data compression with a suitable sparse signal representation before the wireless data transmission at the implant site. Subsequently, we used the correlation-aware two-dimensional DCT used in image processing, to exploit spatial correlation of the data set. In order to guarantee a certain sparsity in the signal representation, two paradigms of zero forcing are evaluated and applied: Significant coefficients-and block sparsity-zero forcing.

引用

页码：2080 / 2084

页数：5

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