Adaptive filters are used successfully in sonar, radar, communications, seismology and biomedical engineering applications . This paper presents a theory of how computational complexity of 2-D adaptive FIR filters can be reduced by using essentially separable 2-D FIR filter structures. Results illustrate that essentially separable filters are more computationally efficient than conventional 2-D adaptive filters. The trade-off is the error introduced by approximating the 2-D filter as a parallel bank of separable sub-filters. Experimental results show that the coefficients of a 2-D non-separable filter are more accurately identified as the number of separable sections increases in the essentially separable structure.
|Title of host publication
|2016 IEEE 59th International Midwest Symposium on Circuits and Systems, MWSCAS 2016
|Institute of Electrical and Electronics Engineers Inc.
|Published - Jul 2 2016
|59th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2016 - Abu Dhabi, United Arab Emirates
Duration: Oct 16 2016 → Oct 19 2016
|Midwest Symposium on Circuits and Systems
|59th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2016
|United Arab Emirates
|10/16/16 → 10/19/16
All Science Journal Classification (ASJC) codes
- Electronic, Optical and Magnetic Materials
- Electrical and Electronic Engineering