A New Window Function based on Kaiser and Von-Hann Windows and its Performance Analysis for Digital Filter Design

Abstract

Digital filters, which are used in many signal processing applications, can be classified as recursive or nonrecursive. Since nonrecursive digital filters can provide inherent stability and exact linear phase characteristic, they have an important place in the literature. In this paper, a new hybrid function is proposed for the design of nonrecursive digital filters. This new window was obtained by combining two different window functions known as Kaiser and Von-Hann in the literature. First of all, the effects of two independent parameters of the proposed window function on the digital filter characteristic are analysed in terms of minimum stopband attenuation and transition bandwidth. Later, comparative examples for different filter lengths are given to compare the performance of the proposed window function in the design of digital filter with the well-known other two parameter window functions. Simulation results demonstrate that the proposed window function can provide a better filter design than Kaiser-Hamming, Saramaki, Kaiser, Dolph-Chebychev, Cosh, Exponential, and Gaussian window functions.

Keywords

• Digital filters
• Window functions
• Kaiser-Hann window
• Kaiser window
• Von-Hann window