Mathematical Methods and Algorithms for Signal Processing
Giving students a sound balance of theory and practical application, this no-nonsense text presents the fundamental concepts and techniques of modern digital signal processing with related algorithms and applications.
[10] T.K. Moon and W.C. Stirling, Mathematical Methods and Algorithms for Signal Processing. Upper Saddle River, New Jersey: Prentice Hall, 2000. [11] E. Dubois, “Frequency-domain methods for demosaicking of Bayer-sampled color images,” ...
This text helps readers understand fundamental and advanced results as well as recent research trends in the interrelated fields of signal processing, telecommunications, and networking.
In the context of this book an image may be any m-dimensional empirical signal living on an n-dimensional smooth manifold (typically, but not necessarily, a subset of spacetime).
E. Fishler, A. Haimovich, R. Blum, D. Chizhik, L. Cimini, and R. Valenzuela, MIMO radar: An idea whose time has come, Proc. ... T. K. Moon and W. C. Stirling, Mathematical Methods and Algorithms for Signal Processing, Prentice-Hall, ...
This volume unifies and extends the theories of adaptive blind signal and image processing and provides practical and efficient algorithms for blind source separation: Independent, Principal, Minor Component Analysis, and Multichannel Blind ...
8, 1–9 (2008) W. Liu, D.P. Mandic, A. Cichocki, Blind source extraction based on a linear predictor. IET Signal Process. 1, 29–34 (2007) T.K. Moon, W.C. Sterling, Mathematical Methods and Algorithms for Signal Processing (Prentice Hall, ...
Function Reference Volume 1–3, available from www.mathworks.com. Moon, T. K. & Stirling W. C. (1999) Mathematical Methods and Algorithms for Signal Processing, Prentice Hall Nuttall, A. H. (1981) Some Windows with Very Good Sidelobe ...
M M−1∑ k=0 −∞ ∞ k=0 The average energy per signal E s ∫ can be related to the ... we will deal primarily with additive white Gaussian noise (AWGN), ...