scholarly journals Meta-heuristic techniques for optimal design of analog and digital filter

Author(s):  
El Beqal Asmae ◽  
Kritele Loubna ◽  
Benhala Bachir ◽  
Zorkani Izeddine

In this paper, two Meta-heuristic techniques; namely Ant Colony Optimization (ACO) and Genetic Algorithm (GA) have been applied for the optimal design of digital and analog filters. Those techniques have been used to solve multimodal optimization problem in Infinite Impulse Response (IIR) filter design and to select the optimal component values from industrial series as well as to minimize the total design error of a 2nd order Sallen-Key active band-pass filter, also a comparison between the performances reached by those two Meta-heuristics was made in this article.

2014 ◽  
Vol 905 ◽  
pp. 406-410 ◽  
Author(s):  
S.K. Saha ◽  
Rajib Kar ◽  
D. Mandal ◽  
S.P. Ghoshal

This paper presents a novel, control parameter independent evolutionary search technique known as Seeker Optimization Algorithm (SOA) for the design of a eighth order Infinite Impulse Response (IIR) Band Pass (BP) filter. A new fitness function has also been adopted in this paper to improve the stop band attenuation to a great extent. The performance of the SOA based IIR BP filter design has proven to be much superior as compared to those obtained by real coded genetic algorithm (RGA) and standard particle swarm optimization (PSO) in terms of highest sharpness at cut-off, smallest pass band ripple, highest stop band attenuation, smallest stop band ripple and also the fastest convergence speed with assured stability recognized by the pole-zero analysis of the designed optimized IIR filter.


2020 ◽  
Vol 8 (5) ◽  
pp. 1821-1826

In this paper, an eight order efficient digital infinite impulse response filter is designed to improve the signal to noise ratio (SNR) and minimise the hardware and power consumption. For this task, an optimisation method has been adapted to reduce the root mean square error and hardware usage. The filter has been designed and analysed using Matlab and Modelsim, the implementation has been synthesis on Xilinx Spartan 3E-100 (xc3s100e) field-programmable gate array board. Moreover, an optimisation process using parallel algorithm has bee adapted for further reduction in the hardware area and power consumption. The results show the Band Pass Filter effectively functions in real time recording application with significant improvement in the SNR which could achieve high-velocity selective resolution. The present work offers a structure of implementing a band-pass filter on FPGAs using a nonlinear digital filter shows a significant saving of 25.4% in power consumption and 29.9% of the hardware size comparing with the latest algorithm of IIR filter design. Consequently, this is an essential development to enhance the neural signals to be adopted as reference or control signals in artificial limbs devices.


2019 ◽  
Vol 1 (1) ◽  
pp. 66-69
Author(s):  
Ayu Novira

Sound is a signal or wave that propagates with a certain frequency and amplitude through intermediary media that are delivered such as water, air and solid objects. Humans can communicate with other humans with sound. But the sound that is released by humans, musical instruments, or other objects does not always sound clear and good, some of the recorded sound has a lot of noise which makes the sound quality is disturbed and not good. The solution for making sound in an object better and cleaner is filtering. [2]. Filters can be interpreted as a circuit that passes a certain frequency band desired and dampens other frequency bands. Filters are divided into two types, namely analog filters and digital filters. According to the impulse response the digital filter is divided into two, namely the Infinite Impulse Filter (IIR) filter and the Finite Impulse Filter (FIR) filter. In this study a filtering process will be carried out on the sound of the guitar. The filter used is the Band Pass Filter, a filter that can be used to isolate or filter certain frequencies in a particular band or frequency range.


Author(s):  
Ranjan Dey ◽  
Meghna Sarkar ◽  
Biswarup Rana

2015 ◽  
Vol 77 (12) ◽  
Author(s):  
Kabir Ibrahim Jahun ◽  
Hussein Mohamed Hagi Hassan Abdirahman Mohamud Shire ◽  
Ali Orozi Sougui ◽  
S. H. Dahlan

Compact microstrip band-pass filter design using parallel coupled lines is presented in this paper. The microstrip lines are calculated and constructed using CST studio with two input and output ports of the filter structure are printed over Defected Ground Structure (DGS).The proposed symmetrical structure offers a simple and compact design while exhibiting an improved stop-band characteristics in comparison to conventional coupled microstrip line filter structure. The simulation and measurements of 2GHz prototype band pass filter are presented. The measured result agrees well with the simulation data. Compared with conventional parallel coupled line band pass filter, the second, third and fourth spurious responses are suppressed; in addition, the size of the prototype filter circuit is reduced up to 20.8%.  


2010 ◽  
Vol 2010 ◽  
pp. 1-8 ◽  
Author(s):  
Santosh Vema Krishnamurthy ◽  
Kamal El-Sankary ◽  
Ezz El-Masry

A CMOS active inductor with thermal noise cancelling is proposed. The noise of the transistor in the feed-forward stage of the proposed architecture is cancelled by using a feedback stage with a degeneration resistor to reduce the noise contribution to the input. Simulation results using 90 nm CMOS process show that noise reduction by 80% has been achieved. The maximum resonant frequency and the quality factor obtained are 3.8 GHz and 405, respectively. An RF band-pass filter has been designed based on the proposed noise cancelling active inductor. Tuned at 3.46 GHz, the filter features total power consumption of 1.4 mW, low noise figure of 5 dB, and IIP3 of −10.29 dBm.


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