San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA)
نام ناشر، پخش کننده و غيره
: Morgan & Claypool Publishers,
تاریخ نشرو بخش و غیره
, c2005.
مشخصات ظاهری
نام خاص و کميت اثر
1 electronic text (viii, 99 p. ill. (some col.)) , digital file.
فروست
عنوان فروست
(Synthesis lectures on signal processing, 1932-1694 ; [ 1])
يادداشت کلی
متن يادداشت
Part of: Synthesis digital library of engineering and computer science.
متن يادداشت
Title from PDF t.p. (viewed Oct. 19, 2008).
متن يادداشت
Series from website.
یادداشتهای مربوط به نشر، بخش و غیره
متن يادداشت
Electronic
یادداشتهای مربوط به کتابنامه ، واژه نامه و نمایه های داخل اثر
متن يادداشت
Includes bibliographical references (p. 91-96).
یادداشتهای مربوط به مندرجات
متن يادداشت
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.
متن يادداشت
1. Introduction -- 1.1. Complete-data case -- 1.2. Missing-data case -- 1.3. Summary -- 2. APES for complete data spectral estimation -- 2.1. Introduction -- 2.2. Problem formulation -- 2.3. Forward-only APES estimator -- 2.4. Two-step filtering-based interpretation -- 2.5. Forward-backward averaging -- 2.6. Fast implementation -- 3. Gapped-data APES -- 3.1. Introduction -- 3.2. GAPES -- 3.3. Two-dimensional GAPES -- 3.4. Numerical examples -- 4. Maximum likelihood fitting interpretation of APES -- 4.1. Introduction -- 4.2. ML fitting based spectral estimator -- 4.3. Remarks on the ML fitting criterion -- 5. One-dimensional missing-data APES via expectation maximization -- 5.1. Introduction -- 5.2. EM for missing-data spectral estimation -- 5.3. MAPES-EM1 -- 5.4. MAPES-EM2 -- 5.5. Aspects of interest -- 5.6. MAPES compared with GAPES -- 5.7. Numerical examples -- 6. Two-dimensional MAPES via expectation maximization and cyclic maximization -- 6.1. Introduction -- 6.2. Two-dimensional ML-based APES -- 6.3. Two-dimensional MAPES via EM -- 6.4. Two-dimensional MAPES via CM -- 6.5. MAPES-EM versus MAPES-CM -- 6.6. Numerical examples -- 7. Conclusions and software -- 7.1. Concluding remarks -- 7.2. Online software -- References -- The authors.
فروست (داده ارتباطی)
عنوان
Synthesis lectures on signal processing (Online), 1932-1694
شماره جلد
1
عنوانهای گونه گون دیگر
عنوان گونه گون
Synthesis digital library of engineering and computer science
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Adaptive signal processing
موضوع مستند نشده
Missing observations (Statistics)
موضوع مستند نشده
Nonparametric statistics
موضوع مستند نشده
Signal processing , Statistical methods
رده بندی کنگره
شماره رده
E-BOOK
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )