Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
In signal processing, a finite impulse response (FIR) filter is a filter
whose impulse response (or response to any finite length input) is of finite
duration, because it settles to zero in finite time. This is in contrast to
infinite impulse response (IIR) filters, which may have internal feedback and
may continue to respond indefinitely (usually decaying).The impulse response
(that is, the output in response to a Kronecker delta input) of an Nth-order
discrete-time FIR filter lasts exactly N + 1 samples (from first nonzero
element through last nonzero element) before it then settles to zero. FIR
filters can be discrete-time or continuous-time, and digital or analog. In this
paper, FIR filter multipliers are extensively characterized with power
simulations, providing a methodology for the perturbation of the coefficients
of baseline filters at the algorithm level to trade-off reduced power
consumption for filter quality. The proposed optimization technique does not
require any hardware overhead and it enables the possibility of scaling the
power consumption of the filter at runtime, while ensuring the full baseline
performance of any programmed filter whenever it is required. The analyzed FIR
filters were fabricated in a 28nm FD-SOI test chip and measured at a
near-threshold, 600mV supply voltage.
Country : India