Signal Analysis of Real Time Signals to Remove Noise
Maitrayee Devi1, A.A. Shinde2
1Ms. Maitrayee Devi, Department of Electronics Engineering Department of Electronics, Bharati Vidyapeeth College of Engineering, Bharati Vidyapeeth Deemed University, Pune, India.
2Prof. A.A. Shinde, Department of Electronics Engineering Department of Electronics, Bharati Vidyapeeth College of Engineering, Bharati Vidyapeeth Deemed University, Pune, India.
Manuscript received on September 29, 2013. | Revised Manuscript received on October 10, 2013. | Manuscript published on October 30, 2013. | PP: 426-428 | Volume-3, Issue-1, October 2013. | Retrieval Number: A2307103113/2013©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: Removal of noise is very important branch in Digital Signal Processing. This paper addresses the analysis of real time signals to finally remove noise from the signals. In the proposed technique these signals are analyzed by comparing the results in Spectrum Analyzer and MATLAB. This is performed by evaluating the FFTs first and Hanning window is applied to it. Similar process is done in MATLAB. Also noise is introduced to the signals and in the same time removed. By analyzing these real time signals we can say that the results in Spectrum Analyzer are almost same with the results in MATLAB.
Keywords: Real Time Signal, Analysis, MATLAB, Spectrum Analyzer, FFT, Frequency, Filter, Noise.