Rudiments of Signal Processing and Systems

Tom J. Moir

ISBN 10: 3030769461 / ISBN 13: 9783030769468

Published by Springer International Publishing, 2021

About this Item

Druck auf Anfrage Neuware - Printed after ordering - This book is intended to be a little different from other books in its coverage. There are a great many digital signal processing (DSP) books and signals and systems books on the market. Since most undergraduate courses begin with signals and systems and then move on in later years to DSP, I felt a need to combine the two into one book that was concise yet not too overburdening. This means that students need only purchase one book instead of two and at the same time see the flow of knowledge from one subject into the next. Like the rudiments of music, it starts at the very beginning with some elementary knowledge and builds on it chapter by chapter to advanced work by chapter 15. I have been teaching now for 38 years and always think it necessary to credit the pioneers of the subjects we teach and ask the question 'How did we get to this present stage in technological achievement' Therefore, in Chapter 1 I have given a concise history trying to not sway too much away from the subject area. This is followed by the rudimentary theory in increasing complexity. It has already been taught successfully to a class at Auckland University of Technology New Zealand.

Seller Inventory # 9783030769468

Bibliographic Details

• Title: Rudiments of Signal Processing and Systems
• Publisher: Springer International Publishing
• Publication Date: 2021
• Language: English
• ISBN 10: 3030769461
• ISBN 13: 9783030769468
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 31D millimeters 241 millimeters width by 160 millimeters height by 31 millimeters depth
• Weight: 863 grams

About this title

Synopsis

This book is intended to be a little different from other books in its coverage. There are a great many digital signal processing (DSP) books and signals and systems books on the market. Since most undergraduate courses begin with signals and systems and then move on in later years to DSP, I felt a need to combine the two into one book that was concise yet not too overburdening. This means that students need only purchase one book instead of two and at the same time see the flow of knowledge from one subject into the next. Like the rudiments of music, it starts at the very beginning with some elementary knowledge and builds on it chapter by chapter to advanced work by chapter 15. I have been teaching now for 38 years and always think it necessary to credit the pioneers of the subjects we teach and ask the question “How did we get to this present stage in technological achievement”? Therefore, in Chapter 1 I have given a concise history trying to not sway too much away from the subject area. This is followed by the rudimentary theory in increasing complexity. It has already been taught successfully to a class at Auckland University of Technology New Zealand.

About the Author

Tom Moir received his first degree in Control Engineering in 1979 and a Ph.D in 1983 on Estimation theory and Control. He worked as a lecturer at Paisley College (later Paisley University and University of the West of Scotland) in Scotland from 1983-1999. He then moved to New Zealand and worked at Massey University school of Engineering and Advanced Technology, followed by Auckland University of Technology (AUT) where he is currently an associate professor in the school of Engineering, Computer and Mathematical Sciences. Whilst in Paisley he also joined a small company called Ampsys Electronics as a research and design engineer. The work entailed design and research of special circuitry on applications of the Amplitude-Locked Loop which was patented by the same company.

He has published over 100 journal papers and a similar number of conference papers in signal-processing and control-systems. He is also known around the world for his pursuit in New-Zealand of a low-frequency noise prevailing in many parts of the country. This noise is commonly known as “The Hum”.