Optimal design of symmetric fractional delay filter using firefly algorithm

2020 ◽  
Vol 48 (9) ◽  
pp. 1511-1522
Author(s):  
Savita Srivastava ◽  
Atul Kumar Dwivedi ◽  
Deepak Nagaria
Keyword(s):  
Optimal Design ◽  
Firefly Algorithm ◽  
Fractional Delay ◽  
Fractional Delay Filter

Optimal Design Power System Stabilizer Using Firefly Algorithm in Interconnected 150 kV Sulselrabar System, Indonesia

2017 ◽  
Vol 12 (3) ◽  
pp. 250 ◽  
Author(s):  
Muhammad Yusuf Yunus ◽  
Muhammad Ruswandi Djalal ◽  
Marhatang Marhatang
Keyword(s):  
Optimal Design ◽  
Power System ◽  
Firefly Algorithm ◽  
Power System Stabilizer ◽  
System Stabilizer ◽  
Design Power

scholarly journals Design of Variable Fractional Delay Filter using FIR Filter Approximation

2019 ◽  
Vol 8 (4) ◽  
pp. 5932-5936
Keyword(s):  
Interpolation Method ◽  
Fir Filter ◽  
Beam Forming ◽  
Rf Signals ◽  
Direct Form ◽  
Fractional Delay ◽  
Filter Approximation ◽  
Fractional Delay Filter ◽  
Is Design

Beamforming plays an important role in the field of wireless communication. Beamforming means combination of a radio frequency (RF) signals from multiple antennas to form a single direction beam. This technique improves the quality of communication and reduces the interference of signal. In beam forming technique, different phases signals can be achieved with different signals and the received phase delay signals are converted into same phase, multiply with weight factor and combined this signals to form a beam in desired direction. The required phase delays are generated by using a Variable fractional delay filter. Variable fractional delay filter is design by using a direct form of a FIR filter structure. Variable fractional delay filter is calculated by two different phase signals from digital antennas and those two different phase signals are converted to in- phase and added together to form a beam forming. As the order of the filter increases, the delay also increases. The filter coefficients of the variable fractional delay filter are calculated my using a Lagrange interpolation method. The variable fractional delay filter is designed by using software Xilinx version 14.3

Variable Ratio Sample Rate Conversion Based on Fractional Delay Filter

2015 ◽  
Vol 39 (2) ◽  
pp. 231-242 ◽  
Author(s):  
Marek Blok ◽  
Piotr Drózda
Keyword(s):  
Speech Signal Processing ◽  
Farrow Structure ◽  
Conversion Algorithm ◽  
Window Method ◽  
Voiced Speech ◽  
Fractional Delay ◽  
Sample Rate ◽  
Fractional Delay Filter ◽  
Speech Segments ◽  
Rate Conversion

Abstract In this paper a sample rate conversion algorithm which allows for continuously changing resampling ratio has been presented. The proposed implementation is based on a variable fractional delay filter which is implemented by means of a Farrow structure. Coefficients of this structure are computed on the basis of fractional delay filters which are designed using the offset window method. The proposed approach allows us to freely change the instantaneous resampling ratio during processing. Using such an algorithm we can simulate recording of audio on magnetic tape with nonuniform velocity as well as remove such distortions. We have demonstrated capabilities of the proposed approach based on the example of speech signal processing with a resampling ratio which was computed on the basis of estimated fundamental frequency of voiced speech segments.

Matrix-Based Algorithms for the Optimal Design of Variable Fractional Delay FIR Filters

2019 ◽  
Vol 66 (12) ◽  
pp. 4740-4752 ◽  
Author(s):  
Ruijie Zhao ◽  
Xiaoying Hong
Keyword(s):  
Optimal Design ◽  
Fir Filters ◽  
Fractional Delay
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