Study the Characteristics of Finite Impulse Response Filter Based on Modified Kaiser Window
Keywords:Filter Coefficients, Filter Coefficients, Finite Impulse Response Filter, Kaiser Filter, Sidelobes
Finite impulse response (FIR) plays an important part between all other types of filters. There are many types windows used to design of FIR filters. Most important types are as follows: Hanning, hamming, rectangular, triangular, Blackman, Kaiser, etc. The characteristics of these filters depend on the number of generated coefficients in addition to the side lobes of the filter spectrum. The aim of this work is to study and evaluate Kaiser Window type depends on the variation of its factors applied for resizing the impulse response to reach a suitable size the filter. Kaiser Window is an important filter window that can be used to get many types of windows depending on their parameters. The proposed filter approach is designed and implemented through mixing of many filter factors. The filter characteristics are achieved using different values of filter size and attenuation. The implementation of the proposed Kaiser filter window provides an adequate and easy way to measure the window coefficients and maximum side lobe levels. The benefit of Kaiser Window that you can generate many types of window depending on the parameters change.
Index Terms: Filter Coefficients, Finite Impulse Response Filter, Kaiser Filter, Sidelobes
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