IIR and FIR filters are widely used in digital signal processing. The choice of one of these methods depends on the design requirements. In this paper, the two filter design methods are compared in audio equalizer system design. Audio equalization systems are used in electric guitars, pianos, and other electric instruments. It is also an integral part of audio players, audio amplifiers and sound recording systems. The design includes a six-band amplifier that can be used to modify the signal amplitude over the entire audio frequency spectral range. Digital filters were transformed from Chebyshev analog prototypes using Bilinear Transformation Procedures on IIR filters. The Window method was used to design the FIR filter with the same specifications as the IIR filter. The results show that IIR and FIR can be used to design equalizer systems. But one has advantages over the other. Filters can be designed with low order IIR methods, but the FIR requires high order filter designs. On the other hand, in the FIR filter design method, the linearity of the phase response is much better. تفاصيل المقالة

This study examines and compares the application of the optimal design method and the recursive least squares (RLS) method to improve the quality of the audio signal in noisy environments. Noise can be incorporated into audio signals through many sources, including amplification systems and electronic switches, which cause loss of signal information or affect the quality of the audio signal. RLS is an adaptive filtering procedure used to design a system that recursively minimizes the noise amplitude of a contaminated signal by comparing the filter output with a desired signal using new incoming signal samples. The optimal design is an FIR filter design technique that has been used to cut parts of the corrupted signal to improve the signal-to-noise ratio. In this study, samples of audio signals contaminated by white noise were used. The noise reduction results show that the RLS approach has vastly improved the quality of the signals. FIR filters, by contrast, can partially improve signal quality. The functionality of the RLS method depended highly on the precision of the measured noise signal. The FIR filter has shown much less signal improvement than the RLS method, but FIR filters are very practical when noise cannot be measured. تفاصيل المقالة