Finite impulse response

Known as: FIR, Fir filter, Window design method 
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… (More)
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Adding input and output noises for increasing model identification error of finite impulse response systems is considered. This… (More)
  • figure 1
Is this relevant?
2016
2016
Finite impulse response (FIR) graph filters play a crucial role in the field of signal processing on graphs. However, when the… (More)
  • figure 1
  • figure 2
  • figure 4
  • figure 3
Is this relevant?
2015
2015
Lubin Chang, Member, IEEE Naval University of Engineering, Wuhan, China (e-mail:changlubin@163.com) Abstract—This note reveals an… (More)
  • figure 1
  • figure 2
  • figure 3
Is this relevant?
Highly Cited
2012
Highly Cited
2012
The finite impulse response filters are inherently stable and have linear phase response property. The main drawback of these… (More)
Is this relevant?
Highly Cited
2008
Highly Cited
2008
A new approach to implement computationally efficient reconfigurable finite impulse response (FIR) filter is presented in this… (More)
  • figure 1
  • figure 2
Is this relevant?
2006
2006
The use of input shapers in control system design helps to decrease the overshoot and the settling time of underdamped dynamic… (More)
  • figure 1
  • figure 2
  • figure 3
  • table 1
  • figure 4
Is this relevant?
2006
2006
Multiscale representation of data has shown great shrinkage abilities when used in data filtering. This paper shows that… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
2004
2004
  • B.M. Putter
  • IEEE International Solid-State Circuits…
  • 2004
A continuous-time 1 b /spl Sigma//spl Delta/ ADC with a finite impulse response DAC in the feedback path is presented. The FIRDAC… (More)
Is this relevant?
Highly Cited
1994
Highly Cited
1994
Traditional feedforward neural networks are static structures which simply map input to output Motivated from biological… (More)
  • figure II
Is this relevant?
1993
1993
A neural network architecture, which models synapses as Finite Impulse Response (FIR) linear lters, is discussed for use in time… (More)
Is this relevant?