Comparison of Lifting and B-spline DWT Implementations for Implantable Neuroprosthetics

@inproceedings{citeulike:3481104, abstract = {The discrete wavelet transform (DWT) has been shown to provide exceptionally efficient data compression for neural records. This paper describes area-power minimized hardware implementations of the lifting and B-spline DWT schemes for multi-level, multi-channel DWT and analyzes their performance tradeoffs for implantable neuroprosthetics. The lifting scheme is shown to be increasingly superior for a larger number of input channels.}, author = {Kamboh, A. M. and Mason, A.}, booktitle = {Sensors, 2006. 5th IEEE Conference on}, citeulike-article-id = {3481104}, doi = {10.1109/ICSENS.2007.355591}, journal = {Sensors, 2006. 5th IEEE Conference on}, keywords = {dwt}, pages = {811--814}, posted-at = {2008-11-04 23:20:10}, priority = {1}, title = {Comparison of Lifting and B-spline DWT Implementations for Implantable Neuroprosthetics}, url = {http://dx.doi.org/10.1109/ICSENS.2007.355591}, year = {2006} }

TY - CONF ID - citeulike:3481104 L3 - citeulike-article-id:3481104 N2 - The discrete wavelet transform (DWT) has been shown to provide exceptionally efficient data compression for neural records. This paper describes area-power minimized hardware implementations of the lifting and B-spline DWT schemes for multi-level, multi-channel DWT and analyzes their performance tradeoffs for implantable neuroprosthetics. The lifting scheme is shown to be increasingly superior for a larger number of input channels. JF - Sensors, 2006. 5th IEEE Conference on EP - 814 TI - Comparison of Lifting and B-spline DWT Implementations for Implantable Neuroprosthetics T2 - Sensors, 2006. 5th IEEE Conference on SP - 811 KW - dwt AU - Kamboh, AM AU - Mason, A PY - 2006/// UR - http://dx.doi.org/10.1109/ICSENS.2007.355591 ER -