Rudiments of Signal Processing and Systems

1. Front Matter

   Pages i-xiv

   PDF

2. Introduction and Basic Signal Properties

   • Tom J. Moir

   Pages 1-24

3. Dynamic Systems Introduction

   • Tom J. Moir

   Pages 25-46

4. Further Introductory Topics in Signals and Systems

   • Tom J. Moir

   Pages 47-71

5. Frequency-Domain Properties of Signals

   • Tom J. Moir

   Pages 73-102

6. Sampling of Signals and Discrete Mathematical Methods

   • Tom J. Moir

   Pages 103-136

7. Properties of Discrete-Time Systems and Signals

   • Tom J. Moir

   Pages 137-161

8. A More Complete Picture

   • Tom J. Moir

   Pages 163-203

9. FIR Filter Design

   • Tom J. Moir

   Pages 205-243

10. State-Space Method of System Modelling

    • Tom J. Moir

    Pages 245-278

11. Toeplitz Convolution Matrix Method

    • Tom J. Moir

    Pages 279-295

12. FIR Wiener Filters and Random Signals

    • Tom J. Moir

    Pages 297-331

13. IIR Wiener Filtering, Smoothing and Prediction

    • Tom J. Moir

    Pages 333-366

14. FIR Wiener Filters Using Lower Triangular Toeplitz Matrices

    • Tom J. Moir

    Pages 367-386

15. Adaptive Filters

    • Tom J. Moir

    Pages 387-422

16. Other Common Recursive Estimation Methods

    • Tom J. Moir

    Pages 423-452

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.

• Signals and Systems
• Digital Signal processing (DSP)
• Dynamic systems
• mathematical methods
• discrete-time systems and signals
• FIR Filter

• Department of Electrical and Electronic Engineering, School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand

  Tom J. Moir

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”.

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