Spectral Analysis of Signals: The Missing Data Case

by Petre Stoica, Jian Li, Yanwei Wang

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...

• Format: Paperback
• Language: English
• ISBN: 3031013972
• ISBN13: 9783031013973
• Release Date: December 2007
• Publisher: Springer
• Length: 99 Pages