Reddy, Vundela Manoj (2017) Non-Parametric Spectrum Estimation of Real Sinusoid. MTech thesis.
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The Estimation theory is a branch of the statistical signal processing that deal with the decision making and the extraction of relevant information from noisy data. In many electronic signal processing systems are designed to decide when an event of interest occurs and then extract more information about that event. Estimation theory can be found at the core of those systems. Spectrum Estimation of Non-parametric methods precisely estimate an unknown distribution where the number of parameters are high. Non Parametric estimation are asymptotically infinite with the number of samples or observations. This thesis deals with studying, simulation and comparison of different non parametric methods. Real time spectrum estimation was done to reduce spectral leakage. Kaiser window had least RMSE value, near to CR bound. Frequency estimation for Real time data of FMCW Radar was done.
|Item Type:||Thesis (MTech)|
|Uncontrolled Keywords:||Spectrum Estimation; Non Parametric Spectrum Estimation; Real Sinusoid; Bartlett method; Welch method; Blackman Tucky method; Kaiser window; Blackman Window; FM CW Radar; Real time data; FFT; Auto correlation; Binary data; Chunks of data|
|Subjects:||Engineering and Technology > Electrical Engineering > Wireless Communication|
|Divisions:||Engineering and Technology > Department of Electrical Engineering|
|Deposited By:||Mr. Kshirod Das|
|Deposited On:||19 Apr 2018 15:42|
|Last Modified:||19 Apr 2018 15:42|
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