An Introduction to Signal Processing for Non-Engineers

This introduces the basic concepts of signal processing and puts more emphasis on visual illustration to provide an intuitive comprehension of the concepts and methods.

This book introduces the basic concepts of signal processing for scientists and students with no engineering background. The book presents the concepts with minimum use of mathematical formulations and more emphasis on visual illustrations. The idea is to present an intuitive approach to understanding the basics of signal processing and exemplify some practical applications of the concepts by which the readers achieve basic knowledge and skills in signal processing. Most of illustrations in the book have been created by computer programming in MATLAB®; thus, the reader will learn the basics of using computers in signal processing applications.

Autorentext

Afshin Samani earned a PhD in biomedical engineering and science in 2010 at Aalborg University, Denmark. He earned bachelor's and master's degrees in biomedical engineering at Shahid Beheshti Medical University and Polytechnic in Tehran, Iran, in 2002 and 2004, respectively. He is currently an associate professor in sports science and ergonomics at the Department of Health Science and Technology at Aalborg University, Denmark. He is the director of the Laboratory for Ergonomics and Work-Related Disorders. His specific research field is focused on methods of quantification of work exposure, risk factors for the development of musculoskeletal disorders and interactions between fatigue and motor control in various functional tasks, including computer work. The author has over 65 peer-reviewed journal articles, mostly related to the application of novel data analysis methods in the field of ergonomics and sport sciences. Dr. Samani serves as a reviewer in several journals within his fields of expertise and acts as an associate editor for the journal Medical & Biological Engineering & Computing. The author's teaching activity is focused on sport science and sport technology as well as biomedical engineering and medical students.

Inhalt

1. Introduction 2. The Measurement Pipeline 3. Time and Frequency Representation of Continuous Time Signals 4. Sampling of Continuous Time Signals 5. Discrete Fourier Transform 6. Power Spectrum 7. Systems and Their Properties 8. Filters