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Chapter-2 Survey of Literature 2.1 Introduction
| Content Provider | Semantic Scholar |
|---|---|
| Author | Rader, Charles M. |
| Abstract | The work in this chapter is an attempt to report the literature on Nonparametric and parametric power spectrum estimation problems in the past, present and to the best of knowledge, the available literature is reported in the following sections. Power spectrum estimation can be defined as the method of finding power values of hidden frequency components in the harmonics of a measured noisy signal, and is a highly recommended problem in practice. Many applications in engineering and biomedicine ranging from synthetic aperture radar (SAR) for image analysis, radar for determining range of a target, sonar for positioning, speech recognition , heart rate variability (HRV) analysis, time series analysis in seismology etc., can be recognized as spectrum estimation problems. Non parametric power spectrum estimation methods do not assume any rational functional form but allow the form of estimator to be determined entirely by the data. These methods are based on discrete Fourier transform of either signal segment or its autocorrelation function. These methods do not make an assumption of how the data is being generated. While the parametric methods |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://shodhganga.inflibnet.ac.in/bitstream/10603/8536/9/09_chapter%202.pdf |
| Alternate Webpage(s) | http://shodhganga.inflibnet.ac.in:8080/jspui/bitstream/10603/48034/11/11_chapter%202.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
