University of Hertfordshire

Chapter 5 - Introduction to Sensors and Signal Processing

Research output: Chapter in Book/Report/Conference proceedingChapter

Standard

Chapter 5 - Introduction to Sensors and Signal Processing. / Montalvao, Diogo.

Mechatronics: Fundamentals and Applications. ed. / Clarence de Silva; Farbod Khoshnoud; Maoqing Li; Saman Halgamuge. 1. ed. Boca Raton, FL, US : CRC Press, 2015. p. 125-220.

Research output: Chapter in Book/Report/Conference proceedingChapter

Harvard

Montalvao, D 2015, Chapter 5 - Introduction to Sensors and Signal Processing. in C de Silva, F Khoshnoud, M Li & S Halgamuge (eds), Mechatronics: Fundamentals and Applications. 1 edn, CRC Press, Boca Raton, FL, US, pp. 125-220.

APA

Montalvao, D. (2015). Chapter 5 - Introduction to Sensors and Signal Processing. In C. de Silva, F. Khoshnoud, M. Li, & S. Halgamuge (Eds.), Mechatronics: Fundamentals and Applications (1 ed., pp. 125-220). CRC Press.

Vancouver

Montalvao D. Chapter 5 - Introduction to Sensors and Signal Processing. In de Silva C, Khoshnoud F, Li M, Halgamuge S, editors, Mechatronics: Fundamentals and Applications. 1 ed. Boca Raton, FL, US: CRC Press. 2015. p. 125-220

Author

Montalvao, Diogo. / Chapter 5 - Introduction to Sensors and Signal Processing. Mechatronics: Fundamentals and Applications. editor / Clarence de Silva ; Farbod Khoshnoud ; Maoqing Li ; Saman Halgamuge. 1. ed. Boca Raton, FL, US : CRC Press, 2015. pp. 125-220

Bibtex

@inbook{e14d79118d7b45e8a84b414fff7ca8d5,
title = "Chapter 5 - Introduction to Sensors and Signal Processing",
abstract = "This chapter presents the fundamentals on sensors and signal processing, with emphasizes on Mechatronics and applications. Sensors are used to measure signals that present changes in the time domain, e.g. waveforms or digital steps. Different technologies have been developed over the years in order to sense many different physical quantities, such as temperature, flow, force, acceleration, position, sound pressure and intensity of light, among others. Because of their varying nature, all these quantities may be measured under the form of waveforms. However, waveforms - which are analog signals – are often found difficult to interpret in the time domain and a transformation into the frequency domain is required. The Fourier transform still is the most popular technique used today for converting a time signal into a frequency spectrum. Nevertheless, in signal processing, an analog-to-digital conversion (ADC) of the time signal is required at some stage, even if the Fourier transform is not used. When proper treatment and filtering approaches are not followed, important features in the signal may be attenuated and others may be falsely indicated. This chapter discusses how signals can be measured in order to avoid common pitfalls in signal acquisition and processing. The theoretical background is set in a comprehensive yet practical way.",
author = "Diogo Montalvao",
note = "Diogo Montalvao, 'Chapter 5 - Introduction to Sensors and Signal Processing' in Clarence de Silva, Farbod Khoshnoud, Maoqing Li, Saman Halgamuge Eds., Metatronics: Fundamentals and Applications (Boca Raton: CRC Press 2015) ISBN: 9781482239317",
year = "2015",
month = dec,
language = "English",
isbn = "9781482239317",
pages = "125--220",
editor = "{de Silva}, Clarence and Farbod Khoshnoud and Maoqing Li and Saman Halgamuge",
booktitle = "Mechatronics: Fundamentals and Applications",
publisher = "CRC Press",
edition = "1",

}

RIS

TY - CHAP

T1 - Chapter 5 - Introduction to Sensors and Signal Processing

AU - Montalvao, Diogo

N1 - Diogo Montalvao, 'Chapter 5 - Introduction to Sensors and Signal Processing' in Clarence de Silva, Farbod Khoshnoud, Maoqing Li, Saman Halgamuge Eds., Metatronics: Fundamentals and Applications (Boca Raton: CRC Press 2015) ISBN: 9781482239317

PY - 2015/12

Y1 - 2015/12

N2 - This chapter presents the fundamentals on sensors and signal processing, with emphasizes on Mechatronics and applications. Sensors are used to measure signals that present changes in the time domain, e.g. waveforms or digital steps. Different technologies have been developed over the years in order to sense many different physical quantities, such as temperature, flow, force, acceleration, position, sound pressure and intensity of light, among others. Because of their varying nature, all these quantities may be measured under the form of waveforms. However, waveforms - which are analog signals – are often found difficult to interpret in the time domain and a transformation into the frequency domain is required. The Fourier transform still is the most popular technique used today for converting a time signal into a frequency spectrum. Nevertheless, in signal processing, an analog-to-digital conversion (ADC) of the time signal is required at some stage, even if the Fourier transform is not used. When proper treatment and filtering approaches are not followed, important features in the signal may be attenuated and others may be falsely indicated. This chapter discusses how signals can be measured in order to avoid common pitfalls in signal acquisition and processing. The theoretical background is set in a comprehensive yet practical way.

AB - This chapter presents the fundamentals on sensors and signal processing, with emphasizes on Mechatronics and applications. Sensors are used to measure signals that present changes in the time domain, e.g. waveforms or digital steps. Different technologies have been developed over the years in order to sense many different physical quantities, such as temperature, flow, force, acceleration, position, sound pressure and intensity of light, among others. Because of their varying nature, all these quantities may be measured under the form of waveforms. However, waveforms - which are analog signals – are often found difficult to interpret in the time domain and a transformation into the frequency domain is required. The Fourier transform still is the most popular technique used today for converting a time signal into a frequency spectrum. Nevertheless, in signal processing, an analog-to-digital conversion (ADC) of the time signal is required at some stage, even if the Fourier transform is not used. When proper treatment and filtering approaches are not followed, important features in the signal may be attenuated and others may be falsely indicated. This chapter discusses how signals can be measured in order to avoid common pitfalls in signal acquisition and processing. The theoretical background is set in a comprehensive yet practical way.

UR - http://dx.doi.org/10.1201/b19009

M3 - Chapter

SN - 9781482239317

SP - 125

EP - 220

BT - Mechatronics: Fundamentals and Applications

A2 - de Silva, Clarence

A2 - Khoshnoud, Farbod

A2 - Li, Maoqing

A2 - Halgamuge, Saman

PB - CRC Press

CY - Boca Raton, FL, US

ER -