Abstract

A fixed window function which is similar in shape to a semi-ellipse is proposed. The semi–ellipse which has its major axis to be equal to the window length and the minor axis at unity produced about 4.2 dB lower ripple ratio than the rectangular window. The proposed window function is derived from the equation of an ellipse in the explicit and parametric forms. First of all, the spectral characteristic of the proposed window is studied in terms of spectral parameters and compared with other fixed windows like Rectangular, Bartlett, Hann, Hamming and Blackman windows. The window simulation results reveal that the proposed window produced comparable spectral characteristic with existing standard fixed windows. Secondly, the paper presents the application of the proposed window in a digital filter design. The filter analysis comparison results with other fixed windows namely Bartlett, Von Hann, Hamming, and Kaiser window, an adjustable window, confirm that filter design with the proposed window exhibits good spectral characteristic, and can be used to design better filter than the Bartlett window using less than half the Bartlett’s filter length for a fixed transition width. The similicity of its coefficients formulation and design algorithm makes it a good choice for digital filter design applications.

Highlights

  • Digital filters are essential part of digital signal processing (DSP)

  • Its minimum stopband attenuation remains relatively independent of N at approximately 27 dB for values of N in the range 11 to 201(see Figure 14) while Figure 15 reveals that its transition width is about 2.8π⁄N rad/sample

  • In the two filter application examples illustrated in this paper, the fixed windows Triangular (Bartlett), Hann, Hamming, proposed window and the adjustable Kaiser window satisfy the requirements for the two filter specifications presented

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Summary

Introduction

Digital filters are essential part of digital signal processing (DSP). DSP growth over the years is because of the astonishing performance of the digital filters. The ideal approach to the design of discrete-time infinite impulse responses filters involves the transformation of a continuous-time filter into a discrete-time filters meeting some prescribed specifications [1, 2]. The finite impulse response (FIR) filters are frequently used in digital filter design due to the fact that they are stable, and they have linear phase characteristics. Its major drawback is complexity because it requires relatively large filter length compared to infinite impulse response (IIR) filter in satisfying prescribed filter characteristics [2,3,4]

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