Abstract
We present a set of new algorithms for low-power realization of FIR filters which use various orders of differences between coefficients for computing the convolution with the input data. Also the results of computations are stored and reused, thus requiring more storage and storage accesses. These techniques result in a reduction in the computations necessary per convolution as compared to directly using the coefficients. It is shown analytically that this computational reduction at the price of more storage can result in a reduction in net energy dissipated. Realization of some example FIR filters using these algorithms is analyzed.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.