AN APPROACH FOR LINEAR PHASE FIR LOW PASS AND HIGH PASS FILTER DESIGN USING AHA ALGORITHM
Objective
This study proposes the Artificial Hummingbird Optimization (AHA) algorithm to design optimal FIR low-pass and high-pass filters, achieving improved filter coefficients compared to PSO, BFO, GWO, and BAT in terms of transition width, passband ripples, stopband ripples, and stopband attenuation.
Abstract
In order to construct FIR low and high pass filters (LPF and HPF), this work suggests a new heuristic optimization technique called Artificial Hummingbird Optimization (AHA). The AHA optimization method mimics the different flight skills and foraging strategies employed by hummingbirds. In order to satisfy the necessary requirements, the AHA technique produces a set of optimized filter coefficients.
The results obtained from the AHA algorithm are compared with those obtained from the PSO, BFO, GWO, and BAT algorithms in terms of transition width (TW), passband ripples (PBR), stopband ripples (SBR), and stopband attenuation (SBA).
Keywords: Artificial Hummingbird Algorithm (AHA); Magnitude Response; FIR Filter; Low and High Pass Filters (LPF) and (HPF).
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
Software: Matlab 2020a or above
Hardware:
Operating Systems:
- Windows 10
- Windows 7 Service Pack 1
- Windows Server 2019
- Windows Server 2016
Processors:
Minimum: Any Intel or AMD x86-64 processor
Recommended: Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support
Disk:
Minimum: 2.9 GB of HDD space for MATLAB only, 5-8 GB for a typical installation
Recommended: An SSD is recommended A full installation of all MathWorks products may take up to 29 GB of disk space
RAM:
Minimum: 4 GB
Recommended: 8 GB
Learning Outcomes
· Introduction to Matlab
· What is EISPACK & LINPACK
· How to start with MATLAB
· About Matlab language
· Matlab coding skills
· About tools & libraries
· Application Program Interface in Matlab
· About Matlab desktop
· How to use Matlab editor to create M-Files
· Features of Matlab
· Basics on Matlab
· What is Communication?
· About Communication
· Introduction to Communication
· How Communication Works?
· Importing the System Design, Characterization and Visualization
· Analyzing of BER tool
· Analyzing of Error Rate Test Console
· Generation of WSN
· WSN network creation
· Nodes Communication
· Clustering
· Routing
· Convolutional
· Equalization and Synchronization etc.,
· How to extend our work to another real time applications
· Project development Skills
o Problem analyzing skills
o Problem solving skills
o Creativity and imaginary skills
o Programming skills
o Deployment
o Testing skills
o Debugging skills
o Project presentation skills
o Thesis writing skills
Paper Publishing
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