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Sensors Signal Processing Techniques

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Intelligent Sensing, Instrumentation and Measurements

Part of the book series: Smart Sensors, Measurement and Instrumentation ((SSMI,volume 5))

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Abstract

This chapter provides an overview of a few signal processing techniques related to sensing phenomenon. Though there are so many techniques used and/or is available, it is practically impossible to describe each and every one in this chapter. Moreover, the Matlab provides a wide range of different methods in the Signal Processing Toolbox which the readers may go through. The raw signal available from the sensors are usually passed though a few hardware circuits depending on the applications. The purpose is to eliminate undesired noises presence in the signals as well as making the signal strong through a preamplifier stage. In this chapter a few method will be described which are used by the author in the research.

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Authors and Affiliations

  1. School of Engineering and Advanced Technology, Massey University (Turitea Campus), AgHort Bldg A, Rm 3.77, 4410, Palmerston North, New Zealand

    Subhas Chandra Mukhopadhyay

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  1. Subhas Chandra Mukhopadhyay
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Correspondence to Subhas Chandra Mukhopadhyay .

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Mukhopadhyay, S.C. (2013). Sensors Signal Processing Techniques. In: Intelligent Sensing, Instrumentation and Measurements. Smart Sensors, Measurement and Instrumentation, vol 5. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37027-4_6

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  • DOI: https://doi.org/10.1007/978-3-642-37027-4_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37026-7

  • Online ISBN: 978-3-642-37027-4

  • eBook Packages: EngineeringEngineering (R0)

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