Comparison of Infinite Impulse Response (IIR) and Finite Impulse Response (FIR) Filters in Cardiac Optical Mapping Records

2021 ◽  
pp. 207-224
Author(s):  
David Rivas-Lalaleo ◽  
Sergio Muñoz-Romero ◽  
Monica Huerta ◽  
Víctor Bautista-Naranjo ◽  
Jorge García-Quintanilla ◽  
...  
Keyword(s):  
Impulse Response ◽  
Optical Mapping ◽  
Finite Impulse Response ◽  
Infinite Impulse Response ◽  
Fir Filters

Multiplierless Multiple-Stage Cascaded FIR Filter Design

2014 ◽  
Vol 24 (01) ◽  
pp. 1550011
Author(s):  
Wenbin Ye
Keyword(s):  
Impulse Response ◽  
Filter Design ◽  
Finite Impulse Response ◽  
Single Stage ◽  
Fir Filters ◽  
Hardware Cost ◽  
Stage Design ◽  
Design Time ◽  
Fir Filter Design ◽  
Novel Algorithm

It is well known that multiplierless finite impulse response (FIR) filters in multiple-stage cascade form can achieve lower hardware cost and lower coefficient sensitivity than that of single stage design. In this work, a novel algorithm is proposed for the design of multiplierless multiple-stage cascaded FIR filters. Unlike to the conventional algorithms in which the number of stages is fixed and usually is fixed to two, the number of stage in the proposed algorithm is automatically determined. The design examples show that the proposed algorithm significantly outperforms the best existing algorithm in terms of hardware cost and the design time is also saved.

scholarly journals ONE SIMPLE METHOD FOR THE DESIGN OF MULTIPLIERLESS FIR FILTERS

2005 ◽  
Vol 3 (02) ◽  
Author(s):  
G. Jovanovic-Dolecek ◽  
M. M-Alvarez ◽  
M. Martinez
Keyword(s):  
Impulse Response ◽  
Finite Impulse Response ◽  
Second Order ◽  
Fir Filters ◽  
Simple Method ◽  
Prototype Filter ◽  
Repeated Use

This paper presents one simple method for the design of multiplierless finite Impulse response (FIR) filters by the repeated use of the same filter. The prototype filter Is a cascade of a second order recurslve running sum (RRS) filter, known as a cosine filter, and its corresponding expanded versions. As a result, no multipliers are requlred to implement this filter.

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.

scholarly journals Finite Impulse Response Filters for Stagger-Period Signals, their Designs and Applications

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Xubao Zhang
Keyword(s):  
Impulse Response ◽  
Linear Prediction ◽  
Finite Impulse Response ◽  
Fir Filters ◽  
Analysis And Design ◽  
Finite Impulse Response Filters ◽  
Improvement Factor ◽  
Impulse Response Filters ◽  
The Fourier Transform ◽  
High Pass

Those theories of conventional filters for uniform-period signals do not apply to the analysis and design of the finite impulse response (FIR) filters for stagger-period signals. In this paper, we defined the fundamental concepts related to the stagger-period signals, derived the calculating equations, and described the time-variant property of the stagger-period filter; we proposed the Fourier transform pair between the frequency and impulse responses of this type filter, and proved the inverse of each other. Then, we discussed the design methods of stagger-period frequency-selective FIR filters, including lowpass, bandpass, and high-pass, presented the staggered windowing philosophies, illustrated different windows’ effectiveness, and described the principles and designs of optimized stagger-period high-pass filters with the match algorithm. As applications, we introduced three staggered optimization algorithms: eigenvalue, match, and linear prediction; and discussed performances of the filters designed for a moving target indication (MTI) radar. The stagger-period MTI filters not only extended the blind speed of flying targets, but also had an optimized improvement factor. Finally, we proposed a mathematical programming to search the best period code, which makes this type filter’s velocity response flattened. Meanwhile, we compared properties of the stagger-period to uniform-period filters, and provided with some examples to illustrate the theories and designs.

scholarly journals Sparse Finite Impulse Response Low Pass Filter Design using Improved Firefly Algorithm

2019 ◽  
Vol 9 (1) ◽  
pp. 2061-2066
Keyword(s):  
Impulse Response ◽  
Filter Design ◽  
Finite Impulse Response ◽  
Design Method ◽  
Fir Filters ◽  
Linear Phase ◽  
Design Environment ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Improved Firefly Algorithm

In this work, optimal sparse linear phase Finite impulse response filters are designed using swarm intelligence-based Firefly optimization algorithm. Filters are designed to meet the desired specification with fixed and variable sparsity. The objective function is formulated consisting of three parameters, i. e., maximum passband ripple, maximum stopband ripple and stopband attenuation. The effectiveness of the proposed method is evaluated in two stages. In first stage, the designed filters have been compared with non- sparse in terms of deviation in their specification. The Comparative analysis depicts that the proposed approach of sparse linear phase FIR filter design method performs better than the conventional methods without significantly deviating from the desired specification. The proposed designed filter is then implemented on xilinx ISE14.7(Vertex7) design environment and their performance is compared in terms of time delay, resource utilizaion and frequency of operation. In the second stage, designed sparse FIR filters are compared with earlier state of art sparse FIR filters design techniques.

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