Abstract
The filters we have discussed so far had been designed for applications where the requirements for the “optimal” coefficients did not change over time, i.e., they were LTI systems. However, many real-world signals we find in typical DSP fields like speech processing, communications, radar, sonar, seismology, or biomedicine, require that the “optimal” filter or system coefficients need to be adjusted over time depending on the input signal. If the parameter changes slowly compared with the sampling frequency we can compute a “better” estimation for our optimal coefficients and adjust the filter appropriate.
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© 2004 Springer-Verlag Berlin Heidelberg
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Mayer-Baese, U. (2004). Adaptive Filters. In: Digital Signal Processing with Field Programmable Gate Arrays. Signals and Communication Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-06728-4_8
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DOI: https://doi.org/10.1007/978-3-662-06728-4_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-06730-7
Online ISBN: 978-3-662-06728-4
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