Implementation and Performance Estimation of FIR Digital Filters using MATLAB Simulink
Manoj Barnela1, Suresh Kumar2, Akhil Kaushik3, Satvika4
1Manoj Barnela, Assistant Professor, Electronics Department, T.I.T&S Bhiwani, India.
2Dr. Suresh Kumar, Assistant Professor, ECE Department, U.I.E.T, M.D.U., Rohtak India.
3Akhil Kaushik, Assistant Professor, Computer Department, T.I.T&S Bhiwani, India.
4Satvika, Assistant Professor, IT Department, T.I.T&S Bhiwani, India.
Manuscript received on May 25, 2014. | Revised Manuscript received on June 04, 2014. | Manuscript published on June 30, 2014. | PP: 62-65 | Volume-3, Issue-5, June 2014. | Retrieval Number: E3105063514/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In modern communication systems, filtering is the most widespread and extremely important signal processing technology. FIR filters form the basis of wireless systems in medical devices, industrial control, consumer electronics, and cellular infrastructure. A filter network selectively changes the wave-shape of a signal in a desired approach. The most common filtering purpose is to remove the noise from the signal. The FIR filters are of finite transient duration, more stable, efficiently realisable and providing exact linear phase as compared to IIR filters .FIR filter structure can be used to realize almost any sort of frequency response digitally. FIR filters are invariably used in the situation where linear phase characteristics within the passband of the filter is required. In this paper, implementation and simulation of 1-D and 2-D FIR filters is presented in the MATLAB and Simulink environment. The comparison of the output waveforms show that 2-D FIR filter posses higher speed than 1-D FIR filter.
Keywords: Digital filters, 1-D FIR filters, 2-D FIR filters, Simulink.