Computer Algorithms for the Design and Implementation of Linear Phase Finite Impulse Response Digital Filters

1981 ◽  
Author(s):  
James N. Walbert
Keyword(s):  
Impulse Response ◽  
Digital Filters ◽  
Finite Impulse Response ◽  
Computer Algorithms ◽  
Linear Phase ◽  
Design And Implementation

Novel Methods to Design Low-Complexity Digital Finite Impulse Response (FIR) Filters

2018 ◽  
pp. 6234-6244
Author(s):  
David Ernesto Troncoso Romero ◽  
Gordana Jovanovic Dolecek
Keyword(s):  
Impulse Response ◽  
Digital Filters ◽  
Finite Impulse Response ◽  
Digital Signal ◽  
Low Complexity ◽  
Fir Filters ◽  
Linear Phase ◽  
Guaranteed Stability ◽  
Important Challenge ◽  
Dsp Systems

Digital filters play a central role in modern Digital Signal Processing (DSP) systems. Finite Impulse Response (FIR) filters can provide solutions with guaranteed stability and linear phase. However, the main disadvantage of conventional FIR filter designs is that they become computationally complex, especially in applications demanding narrow transition bandwidths. Therefore, designing FIR filters with very stringent specifications and a low complexity is currently an important challenge. In this chapter, a review of the recent methods to efficiently design low-complexity linear-phase FIR filters is presented. The chapter starts with an introduction to linear-phase FIR digital filters. Then, an overview of the design methods that have been developed in literature to design low-complexity FIR filters is presented. Finally, the most common and recent of these methods along with their corresponding special structures are explained.

Novel Methods to Design Low-Complexity Digital Finite Impulse Response (FIR) Filters

2019 ◽  
pp. 1053-1066
Author(s):  
David Ernesto Troncoso Romero ◽  
Gordana Jovanovic Dolecek
Keyword(s):  
Impulse Response ◽  
Digital Filters ◽  
Finite Impulse Response ◽  
Digital Signal ◽  
Low Complexity ◽  
Fir Filters ◽  
Linear Phase ◽  
Guaranteed Stability ◽  
Important Challenge ◽  
Dsp Systems

Digital filters play a central role in modern digital signal processing (DSP) systems. Finite impulse response (FIR) filters can provide solutions with guaranteed stability and linear phase. However, the main disadvantage of conventional FIR filter designs is that they become computationally complex, especially in applications demanding narrow transition bandwidths. Therefore, designing FIR filters with very stringent specifications and a low complexity is currently an important challenge. In this chapter, a review of the recent methods to efficiently design low-complexity linear-phase FIR filters is presented. The chapter starts with an introduction to linear-phase FIR digital filters. Then, an overview of the design methods that have been developed in literature to design low-complexity FIR filters is presented. Finally, the most common and recent of these methods along with their corresponding special structures are explained.

scholarly journals Finite impulse response digital filters with integer multipliers

2003 ◽  
Vol 1 (1) ◽  
pp. 131-141 ◽  
Author(s):  
Vidosav Stojanovic ◽  
Sinisa Minic
Keyword(s):  
Impulse Response ◽  
Input Signal ◽  
Digital Filters ◽  
Finite Impulse Response ◽  
Linear Phase ◽  
Practical Advantage ◽  
The Family ◽  
Frequency Components ◽  
Poles And Zeros ◽  
Recursive Digital Filters

In this paper, a family of non-recursive digital filters will be described in which all multipliers are small integers. It is shown that this practical advantage is only available if some rather severe restrictions on the locations of z-plane poles and zeros are accepted. These restrictions have the further advantage that all filters of the family display pure linear-phase characteristics, imposing a pure transmission delay on all frequency components of an input signal.

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