8-BAND HETEROGENEOUS BANK OF FIR FILTERS WITH HIGH COMPUTATIONAL EFFICIENCY FOR HEARING AIDS
D.A. Guzhva, К. О. Sever, Игорь Ильич Турулин · Известия Южного федерального университета. Технические науки · 2023
This article discusses recursive filters with finite impulse response and filter banks. The filterbank is an array of bandpass filters. The analysis filter block divides the input signal into severalcomponents, with each of the sub-filters carrying one frequency sub-band of the original signal.On the contrary, the synthesis filter block combines the output data of the sub-bands to restorethe original input signal. In most applications, certain frequencies are more important than others.Filter blocks can isolate various frequency components in the signal. This way we can put moreeffort into processing more important components and less effort into processing less importantcomponents. Subband filters can be combined with step-down or step-up sampling to form a bankof multi-speed filters. Filter banks are widely used for speech recognition and speech quality improvement.Currently, filter banks have expanded their application to video and image processing.In addition, filter blocks are very useful in communication systems, including digital receivers andtransmitters, pre-coding of filter blocks for channel alignment, discrete multi-tone modulation andblind channel alignment. The use of these filters for hearing aids is considered. An 8-band heterogeneousbank of recursive filters with finite impulse response (FIR) with high computational efficiencyfor hearing aids has been developed. The computational complexity (BC) of a recursivefilter with a finite impulse response (RCIHF) is also compared with the computational complexityof non-recursive filters with a finite impulse response (NCIHF).