Abstract
The design of digital filters is a deceptively complex topic. Although filters are easily understood and calculated, the practical challenges of their design and implementation are significant and are the subject of much advanced research. In this research paper, a high pass FIR filter is designed and simulated using Gaussian, Taylor and Hanning windows. The three windows are compared on the basis of their magnitude responses, step responses, impulse responses and phase responses and the results are presented. The comparative result shows that the proposed design of Taylor window is the most efficient of the three windows. Keywords: High Pass Filter, Window Method, Gaussian Method, Impulse response
Highlights
The design of digital filters is a deceptively complex topic
An Finite impulse response (FIR) filter is usually implemented by using a series of delays, multipliers and adders to create the filter’s output
FIR filters known as feed forward or non-recursive, or transversal filters
Summary
The design of digital filters is a deceptively complex topic. filters are understood and calculated, the practical challenges of their design and implementation are significant and are the subject of much advanced research. Gaussian, Taylor and Hanning methods are used to design filter. In designing the high pass FIR filter using the Hamming, Gaussian and Taylor window methods, the parameters used are shown in Stable1 below: Table 1: Parameter Specifications
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