Übersicht			Auf mobile öffnen

Lieferstatus:	Vorankündigung
Veröffentlichung:	ANGEKÜNDIGT (Februar 2027)
Genre:	EDV / Informatik
	Algorithms / Artificial Intelligence / Business and Management / computer science / Computer Vision / COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition / COMPUTERS / Computer Science / COMPUTERS / Information Technology / COMPUTERS / Management Information Systems / Digital filters / Digital Signal Processing / Digital signal processing (DSP) / Discrete Mathematics / Enterprise Software / Fast Fourier Transform / MATHEMATICS / Applied / pattern recognition / Real-time Signal Processing / Signal enhancement / signal filtering / Signal Processing / signal processing applications / Speech Processing and Recognition mehr...
ISBN:	9780443332616
EAN-Code:	9780443332616
Verlag:	Elsevier
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 235 mm / B 191 mm / D
Gewicht:	450 gr
Bewertung:	Keine Bewertung vor Veröffentlichung möglich.

Inhalt:

Digital Signal Processing with MATLAB®: From Fundamentals to AI Applications provides coverage of discrete-time signals and systems, and lays out the mathematical fundamentals of digital signal processing (DSP) systems. The book contains a solution to large-scale signal processing problems, namely the development of methods and algorithms that increase (a) operational efficiency under different uncertainty conditions and (b) system stability rate. It offers an algebraic approach to digital signal processing, including algorithms related to digital systems, the setting of parameters, plus operational estimation, detection, classification, resolution, and reliability. Digital Signal Processing with MATLAB®: From Fundamentals to AI Applications begins with a thorough explanation of MATLAB® in recognition of the Accreditation Board for Engineering and Technology (ABET) requirements for integrating computer tools into DSP. The principles of DSP are presented using a step-by-step approach; each chapter starts with an introduction that states the chapter objectives, and ends with a discussion of practical applications of DSP, including providing problems that help the reader understand how the concepts are used in real-life situations. Sometimes, problems are solved in two or three ways to facilitate a deeper understanding and comparison of different approaches. Digital Signal Processing with MATLAB®: From Fundamentals to AI Applications teaches the fundamental principles of digital signal processing, and explains how MATLAB® can be used in the development of methods and algorithms for DSP.