Computationally efficient low-pass FIR filter design using Cuckoo Search with adaptive Levy step size

Author(s):  
Saptarshi Sengupta ◽  
Sanchita Basak
2019 ◽  
Vol Volume-3 (Issue-3) ◽  
pp. 518-520
Author(s):  
M. Santhanaraj ◽  
Rishikesh. S. S ◽  
Subramanian. A. N | Vijai Sooriya. Su ◽  

2014 ◽  
Vol 05 (03) ◽  
pp. 57-67 ◽  
Author(s):  
Mudit Shukla ◽  
G. R. Mishra

2012 ◽  
Vol 566 ◽  
pp. 49-56
Author(s):  
Md. Abdus Samad ◽  
Jia Uddin ◽  
Md. Razu Ahmed

Attenuated side lobe peak in the range of around ~-45dB is required in many applications of signal processing and measurements. However, the problem is usual window based FIR filter design lies in its side lobes amplitudes that are higher than the requirement of application. We propose a modified Lanczos window function by heuristic by examining the Lanczos window, which has better performance like equiripple, minimum side lobe compared to the several commonly used windows. The proposed window has slightly larger main lobe width of the commonly used Hamming window, while featuring 5.1~18.5 dB smaller side lobe peak. The proposed modified Lanczos window maintains its maximum side lobe peak about -55.2~-51.9 dB compared to -39~-36.7 dB of Hamming window for M=10~14, while offering roughly equal main lobe width. Our simulated results also show significant performance upgrading of the proposed modified Lanczos window compared to the Kaiser, Gaussian, and Lanczos windows. The proposed modified Lanczos window also shows better performance than Dolph-Chebyshev window. Finally, the example of designed low pass FIR filter confirms the efficiency of the proposed modified Lanczos window.


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