Bootstrap techniques for signal processing

摘要: The statistical bootstrap is one of the methods that can be used to calculate estimates a certain number unknown parameters random process or signal observed in noise, based on sample. Such situations are common processing and especially useful when only small sample available an analytical analysis too cumbersome even impossible. This book covers foundations bootstrap, its properties, strengths limitations. authors focus detection Gaussian non-Gaussian interference as well model selection. theory developed supported by practical examples written MATLAB. aimed at graduate students engineers, includes applications real-world problems areas such radar sonar, biomedical engineering automotive engineering.