Time-Frequency Signal Analysis with Applications: A Tutorial Guide: Artech House Radar
Autor Ljubisa Stankovic, Milos Dakovic, Thayananthan Thayaparanen Limba Engleză Hardback – 31 ian 2013
Preț: 836.29 lei
Preț vechi: 1019.87 lei
-18% Nou
Puncte Express: 1254
Preț estimativ în valută:
160.06€ • 167.92$ • 132.78£
160.06€ • 167.92$ • 132.78£
Carte indisponibilă temporar
Doresc să fiu notificat când acest titlu va fi disponibil:
Se trimite...
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9781608076512
ISBN-10: 1608076512
Pagini: 659
Ilustrații: illustrations
Dimensiuni: 160 x 234 x 38 mm
Greutate: 1.02 kg
Ediția:New.
Editura: Artech House Publishers
Seria Artech House Radar
ISBN-10: 1608076512
Pagini: 659
Ilustrații: illustrations
Dimensiuni: 160 x 234 x 38 mm
Greutate: 1.02 kg
Ediția:New.
Editura: Artech House Publishers
Seria Artech House Radar
Notă biografică
Ljubisa Stankovic is a full professor in the Electrical Engineering Department at the University of Montenegro. He earned his M.S. in communications from the University of Belgrade and his Ph.D. in electromagnetic waves propagation at the University of Montenegro. Dr. Stankovic is an associate editor of the IEEE Transactions On Signal Processing. Milos Dakovic is an associate professor in the Electrical Engineering Department at the University of Montenegro. He received his B.S., M.S. and Ph.D. in electrical engineering from that same university. Thayananthan Thayaparan is a defense scientist with the Department of National Defense in Canada. He holds a B.Sc. in physics from the University of Jaffna in Srilanka, and M.Sc. in physics from the University of Oslo in Norway, and a Ph.D. in atmospheric physics at the University of Western Ontario in Canada. Dr. Thayaparan serves on the editorial board of IET (Institute of Engineering and Technology) Signal Processing.
Cuprins
Introduction to Fourier Analysis; Linear Time-Frequency Representations; Quadratic Time-Frequency Distributions; Higher Order Time-Frequency Representations; Analysis of Non-Stationary Noisy Signals; Some Applications of Time-Frequency Analysis.