Identified optimal infinite impulse response filters for eight band audio equalizer using bacterial foraging algorithm (BFA)
Ishaku Thlama Balami, E C Anene, Abdullahi Muhammad, Mohammed Ahmed, Saidu Mohammed Kumo
This paper describes the impact of optimal identified low-order Infinite Impulse Response (IIR) filters from the higher-order counterpart. A 4th order IIR filter were design using classical method from first principle using Bilinear Transformation (BLT) method and were used in identifying the equivalent IIR filter in 2nd order using an optimization method. The reason for the identification is to minimize cost of implementation. An eight band audio equalizer was developed and analyzed. It was also observed that the Bacterial foraging optimization (BFO) designed filters equalizer output were slightly higher in gain than that of BLT with -12 dB that is 23 % boost and -14 dB 2.4 % attenuation respectively with respect to the original signal gain of -13 dB. This attenuation can be seen at also roll-off point of BLT with the higher level of ripples. The effectiveness of proposed BFA has been also established with fast convergence speed, high performance in digital equalization.
Ishaku Thlama Balami, E C Anene, Abdullahi Muhammad, Mohammed Ahmed, Saidu Mohammed Kumo. Identified optimal infinite impulse response filters for eight band audio equalizer using bacterial foraging algorithm (BFA). International Journal of Advanced Engineering and Technology, Volume 5, Issue 2, 2021, Pages 01-07