Spectral analysis of signals / (Record no. 5789)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01956nam a2200265Ia 4500 |
| 001 - CONTROL NUMBER | |
| control field | TB625 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | IN-BhIIT |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20210827144236.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 151217s9999 xx 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9788120343597 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | IN-BhIIT |
| 041 ## - LANGUAGE CODE | |
| Language code of text | eng |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 515.7222 |
| Book number | STO/S |
| 100 1# - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Stoica, Petre |
| Relator term | author |
| 245 10 - TITLE STATEMENT | |
| Title | Spectral analysis of signals / |
| Statement of responsibility, etc | by Petre Stoica and Randolph Moses |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | New Delhi. : |
| Name of publisher | Prentice Hall, |
| Year of publication | 1998. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xxii, 452 p. : |
| Other physical details(ill.) | ill. ; |
| Dimensions(size) | 25 cm. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc | Includes bibliographical references and index |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Spectral estimation is important in many fields including astronomy, meteorology, seismology, communications, economics, speech analysis, medical imaging, radar, sonar, and underwater acoustics. Most existing spectral estimation algorithms are devised for uniformly sampled complete-data sequences. However, the spectral estimation for data sequences with missing samples is also important in many applications ranging from astronomical time series analysis to synthetic aperture radar imaging with angular diversity. For spectral estimation in the missing-data case, the challenge is how to extend the existing spectral estimation techniques to deal with these missing-data samples. Recently, nonparametric adaptive filtering based techniques have been developed successfully for various missing-data problems. Collectively, these algorithms provide a comprehensive toolset for the missing-data problem based exclusively on the nonparametric adaptive filter-bank approaches, which are robust and accurate, and can provide high resolution and low sidelobes. In this lecture, we present these algorithms for both one-dimensional and two-dimensional spectral estimation problems. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Spectral theory (Mathematics) |
| Topical Term | Signals |
| Topical Term | Electrical Sciences |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Moses, Randolph L. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Text Book |
| Koha issues (borrowed), all copies | 4 |
| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Date acquired | Full call number | Accession Number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|
| Not withdrawn | Not Lost | not damaged | Central Library, IIT Bhubaneswar | Central Library, IIT Bhubaneswar | 17/12/2015 | 515.7222 STO/S | TB627 | 17/12/2015 | Text Book | |
| Not withdrawn | Not Lost | not damaged | Central Library, IIT Bhubaneswar | Central Library, IIT Bhubaneswar | 17/12/2015 | 515.7222 STO/S | TB625 | 17/12/2015 | Text Book | |
| Not withdrawn | Not Lost | not damaged | Central Library, IIT Bhubaneswar | Central Library, IIT Bhubaneswar | 17/12/2015 | 515.7222 STO/S | TB626 | 17/12/2015 | Text Book |