Design of FIR Filter Based on Adaptive Window

Abstract

There are several windows used for truncated the impulse response in order to fixed the filter size. Kaiser window is the most important type and from it is possible to generate other types of windows depending on the value of α. The proposed adaptive Finite Impulse Response (FIR) Filter is designed and implemented to merge many filter parameters. The results are obtained in different window sizes and different attenuations. These results indicate good performances during the implementation of the filter. This filter is stable and linear phase when implement in non-recursive form, and the ample hardware support that exists for them among other reasons. The Kaiser window provides a simple to calculate set of window coefficients, whose parameters can be adjusted to produce the desired maximum side lobe levels for the near minimal filter length.