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101117s1981 nyua ob 101 0 eng d |
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|a OCLCE
|b eng
|e pn
|c OCLCE
|d OCLCQ
|d OCLCF
|d OPELS
|d OCLCO
|d E7B
|d OCLCQ
|d AU@
|d VLY
|d OCLCQ
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|a 1058270014
|a 1162269746
|a 1397686146
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|a 9780122564208
|q (electronic bk.)
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|a 0122564200
|q (electronic bk.)
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|a 1483263908
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|a 9781483263908
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|a (OCoLC)682064524
|z (OCoLC)1058270014
|z (OCoLC)1162269746
|z (OCoLC)1397686146
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|a dlr
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|a QA280
|b .A66 1980
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|a 519.5/5
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|a Applied Time Series Symposium
|n (2nd :
|d 1980 :
|c Tulsa, Okla.)
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|a Applied time series analysis II :
|b proceedings of the Second Applied Time Series Symposium held in Tulsa, Oklahoma, March 3-5, 1980 /
|c edited by David F. Findley.
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|a New York :
|b Academic Press,
|c 1981.
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|a 1 online resource (xii, 798 pages) :
|b illustrations
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Symposium sponsored by the University of Tulsa and the Tulsa Section of the IEEE.
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|a Includes bibliographical references and index.
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|3 Use copy
|f Restrictions unspecified
|2 star
|5 MiAaHDL
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|a Electronic reproduction.
|b [Place of publication not identified] :
|c HathiTrust Digital Library,
|d 2010.
|5 MiAaHDL
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|a Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
|u http://purl.oclc.org/DLF/benchrepro0212
|5 MiAaHDL
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|a digitized
|c 2010
|h HathiTrust Digital Library
|l committed to preserve
|2 pda
|5 MiAaHDL
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|a Print version record.
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|a Front Cover; Applied Time Series Analysis II; Copyright Page; Dedication; Table of Contents; CONTRIBUTORS; PREFACE; CHAPTER 1. INTRODUCTION TO THE PAPERS; REFERENCES; APPENDIX: TERMINOLOGY; CHAPTER 2. THE STEP FROM ONE TO HIGHER DIMENSIONAL SIGNAL PROCESSING -- CASE HISTORIES; INTRODUCTION; II. THE RECURSIVE FILTER STABILITY PROBLEM; III. THE LEAST-SQUARES INVERSE PROBLEM; IV. FILTER REALIZATION; V. SPECTRAL ESTIMATION; VI. THE UNIQUE CHARACTER OF THE 3-D WAVE EQUATION; EPILOGUE; ACKNOWLEDGMENTS; REFERENCES; ADDENDUM; ADDITIONAL REFERENCES
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|a CHAPTER 3. HIGH RESOLUTION 2-DIMENSIONAL POWER SPECTRAL ESTIMATIONI. INTRODUCTION; 2. THE MAXIMUM ENTROPY APPROACH; 3. THE PREDICTIVE APPROACH; 4. THE MAXIMUM LIKELIHOOD ESTIMATOR (MLM); 5. 2-D ESTIMATOR FROM SETS OF 1-D ESTIMATORS; 6. CONVENTIONAL SPECTRAL ESTIMATES; 7. SMOOTHING OF SPECTRAL ESTIMATORS; 8. NUMERICAL EXAMPLES; 9. CONCLUSIONS; ACKNOWLEDGMENTS; REFERENCES; CHAPTER 4. TIME SERIES ANALYSIS OF GEOPHYSICAL INVERSE SCATTERING PROBLEMS; INTRODUCTION; ACQUISITION OF SEISMIC DATA; STACKING; MIGRATION; THE WKB METHOD FOR OBTAINING THE TRANSMITTED WAVEFIELD
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|a APPLICATION OF THE WKB METHOD TO GEOPHYSICAL INVERSE SCATTERINGBIBLIOGRAPHY; CHAPTER 5. ON THE USE OF FOURIER TRANSFORMS TO IMAGE SEISMIC REFLECTION DATA; 1. BACKGROUND ON THREE DIMENSIONAL SEISMIC EXPLORATION; 2. A SEISMIC PROFILE OVER SCATTERING POINTS; 3. EXAMPLE; 4. CONCLUSION; 5. REFERENCES; CHAPTER 6. ESTIMATING THE EARTH'S IMPEDANCE FUNCTION WHEN THERE IS NOISE IN THE ELECTRIC AND MAGNETIC SIGNALS; I. INTRODUCTION; II. MAGNETOTELLURIC MEASUREMENTS; III. ESTIMATING THE CROSS SPECTRUM AND PHASE; V. NUMERICAL APPROXIMATIONS OF THE FOURIER TRANSFORMS; VI. ESTIMATING THE IMPEDANCE
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|a VII. DEMONSTRATION OF THE ESTIMATION PROCEDUREVIII. CONCLUSION; ACKNOWLEDGMENTS; REFERENCES; APPENDIX; CHAPTER 7. NEAREST NEIGHBOR RULE CLASSIFICATION OF STATIONARY AND NONSTATIONARY TIME SERIES; 1. INTRODUCTION; 2. TWO VARIETIES OF TIME SERIES CLASSIFICATION PROBLEMS; 3. NEAREST NEIGHBOR RULE TIME SERIES CLASSIFICATION WITH A KULLBACK-LEIBLER TYPE DISSIMILARITY MEASURE; 4. STATISTICAL PROPERTIES OF THE NEAREST NEIGHBOR -- KULLBACK LEIBLER TYPE DISSIMILARITY MEASURE CLASSIFICATION RULE; 5. APPLICATIONS TO THE POPULATION SCREENING PROBLEM
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|a 6. APPLICATIONS TO THE NORMALIZED BASELINE CLASSIFICATION PROBLEM7. SUMMARY, DISCUSSION; 8. ACKNOWLEDGMENTS; BIBLIOGRAPHY; CHAPTER 8. TIME DOMAIN CONSIDERATIONS IN OPTIMAL ESTIMATION FOR BANDLIMITED SIGNALS; I. Introduction; II. Discrete-time Bandlimited Signals; Ill. Extrapolation from Limited Measurements; IV. Optimal Estimation; V. Sensitivity to Errors; VI. Conclusion; REFERENCES; CHAPTER 9. LATTICE METHODS IN SPECTRAL ESTIMATION; 1. INTRODUCTION; 2. LINEAR PREDICTION; 3. THE LATTICE; 4. COEFFICIENT ESTIMATION -- WINDOWED CASE; 5. COEFFICIENT ESTIMATION -- UNWINDOWED CASE
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|a Applied Time Series Analysis II.
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546 |
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|a English.
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650 |
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|a Time-series analysis.
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6 |
|a S�erie chronologique.
|0 (CaQQLa)201-0018628
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|a Time-series analysis.
|2 fast
|0 (OCoLC)fst01151190
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655 |
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2 |
|a Congress
|0 (DNLM)D016423
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|a Conference papers and proceedings.
|2 fast
|0 (OCoLC)fst01423772
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655 |
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|a Conference papers and proceedings.
|2 lcgft
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|a Actes de congr�es.
|2 rvmgf
|0 (CaQQLa)RVMGF-000001049
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700 |
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|a Findley, David F.
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710 |
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|a University of Tulsa.
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|a Institute of Electrical and Electronics Engineers.
|b Tulsa Section.
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776 |
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|i Print version:
|a Applied Time Series Symposium (2nd : 1980 : Tulsa, Okla.).
|t Applied time series analysis II.
|d New York : Academic Press, 1981
|w (DLC) 81014869
|w (OCoLC)8031942
|
856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/book/9780122564208
|z Texto completo
|