• Advanced time-frequency signal and system analysis 

      Boashash, B.; Touati, S.; Flandrin, P.; Hlawatsch, F.; Tauböck, G.; ... more authors ( Elsevier Inc. , 2016 , Book chapter)
      This chapter extends Part I by presenting additional advanced key principles underlying the use of time-frequency (t,f) methods. The topic is covered in 11 focused sections. Section 4.1 describes the relationships between ...
    • Detection, classification, and estimation in the (t, f ) domain 

      Sayeed, A.M.; Papandreou-Suppappola, A.; Suppappola, S.B.; Xia, X.-G.; Hlawatsch, F.; ... more authors ( Elsevier Inc. , 2016 , Book chapter)
      Several studies involving real-life applications have shown that methods for the detection, estimation, and classification of nonstationary signals can be enhanced by utilizing the time-frequency ((t,f)) characteristics ...
    • Time-frequency diagnosis, condition monitoring, and fault detection 

      Powers, E.J.; Shin, Y.-J.; Mack Grady, W.; Böhme, J.F.; Carstens-Behrens, S.; ... more authors ( Elsevier Inc. , 2016 , Book chapter)
      This chapter aims to further illustrate the (t,f) approach by selecting a few key generic applications of diagnosis and monitoring. The topic is represented by seven sections. One key application is electrical power ...
    • Time-frequency synthesis and filtering 

      Hlawatsch, F.; Matz, G.; Boashash, B.; Ouelha, S.; Stanković, S.; ... more authors ( Elsevier Inc. , 2016 , Book chapter)
      This chapter presents methods and techniques to design time-varying linear systems such as filters with precise time-frequency (t,f) specifications; this capability can then allow one to model and predict accurately the ...