This is a survey of recent work in signal processing. Some of the papers report progress which has been made in established areas of research such as adaptive filtering and spectral analysis. Other papers relate to emerging topics of interest such as wavelet analysis, fractal approximation and nonlinear filtering. Particular effort was made to include papers which consider the development of mathematical techniques for various signal processing applications, ranging from radar and communication systems to astronomy, seismology and medical imagery. The keynote paper by Professor J.G. Proakis encompasses all of these characteristics and thus sets the tone for the rest of the volume whilst reporting some highly significant research.
"Sinopsis" puede pertenecer a otra edición de este libro.
This is a survey of recent work in signal processing. Some of the papers report progress which has been made in established areas of research such as adaptive filtering and spectral analysis. Other papers relate to emerging topics of interest such as wavelet analysis, fractal approximation and nonlinear filtering. Particular effort was made to include papers which consider the development of mathematical techniques for various signal processing applications, ranging from radar and communication systems to astronomy, seismology and medical imagery. The keynote paper by Professor J.G. Proakis encompasses all of these characteristics and thus sets the tone for the rest of the volume whilst reporting some highly significant research.
"Sobre este título" puede pertenecer a otra edición de este libro.
Librería: PsychoBabel & Skoob Books, Didcot, Reino Unido
hardcover. Condición: New. Estado de la sobrecubierta: No Dust Jacket. No Jacket. Institute of Mathematics and Its Applications. Used. Nº de ref. del artículo: 070646
Cantidad disponible: 1 disponibles
Librería: Buchpark, Trebbin, Alemania
Condición: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher. Nº de ref. del artículo: 1353491/202
Cantidad disponible: 2 disponibles