An approach to enhance performance of Kaiser window based filter

At the time of transmission via any media, signals get affected by unwanted components; which are adverse but inevitable. Elimination of such unwanted components termed as noise from transmitted signals has remained an important as well as puzzling task for the researchers since the preliminary days of Digital Signal Processing. Among a significant number of techniques proposed for removal of noise from signals, use of digital filters has become most effective in multiple ways. Slighter overheads in designing and lower hardware cost have made the Finite Impulse Response (FIR) filters popular. Among a considerable number of techniques, use of different window functions for implementation of digital filters is most acceptable. In this paper a new strategy based on the weight lifting strategy of ants has been proposed for optimizing parameters to design a digital filter using Kaiser Window function. A new innovative objective function has been introduced for optimization that performs based on the signal de-noising capability of the filters implemented by the optimized sets of parameters. A case study was carried out on heart sound signals with a filter designed using Kaiser Window with optimized parameters.