Abstract
In this work a hybrid Residue Number System
(RNS) implementation of an adaptive FIR filter is presented. The
used adaptation algorithm is the Least Mean Squares (LMS). The
filter has been designed to meet the constraints of specific class
of applications. In fact, it is suitable for applications requiring
a large number of taps where a serial updating of the filter
coefficients is feasible (channel equalization or echo cancellation).
In the literature, it has been shown that the RNS implementation
of FIR filters grants earnings in area ad power consumption
due to the introduced arithmetic simplifications. Vice versa, the
RNS implementation of the adaptation algorithm needs scaling
circuits that are complex and expensive in RNS arithmetic. For
this reason, a serial binary implementation of the adaptation
algorithm is chosen. The advantages in terms of area and speed
of the RNS adaptive filter with respect to the two’s complement
one have been evaluated for a standard cells implementation.
| Original language | English |
|---|---|
| Title of host publication | Proc. of 40th Asilomar Conference on Signals, Systems, and Computers |
| Publication date | 2006 |
| Pages | 1706-1710 |
| Publication status | Published - 2006 |
| Event | 40th Asilomar Conference on Signals, Systems, and Computers - Pacific Grove, CA, United States Duration: 29 Oct 2006 → 1 Nov 2006 Conference number: 40 |
Conference
| Conference | 40th Asilomar Conference on Signals, Systems, and Computers |
|---|---|
| Number | 40 |
| Country/Territory | United States |
| City | Pacific Grove, CA |
| Period | 29/10/2006 → 01/11/2006 |