Abstract
We begin this chapter by discussing signal energy in general. We then look at an alternative definition, i.e., the Teager energy operator (TEO) and how it can be obtained by considering a second order differential equation, which describes the motion of an object suspended by a spring. This operator is interesting because it has a small time window, making it ideal for local (time) analysis of signals. The analysis of AM–FM signals using the Teager Energy Operator is probably the field where most of the research regarding the operator has been done so far. Energy separation algorithm using TEO is then discussed and finally its noise suppression capability is presented.
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Holambe, R.S., Deshpande, M.S. (2012). Nonlinear Measurement and Modeling Using Teager Energy Operator. In: Advances in Non-Linear Modeling for Speech Processing. SpringerBriefs in Electrical and Computer Engineering(). Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-1505-3_4
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DOI: https://doi.org/10.1007/978-1-4614-1505-3_4
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