Signal processing using the generalized Taylor series expansion

Tehrani, Reza Dadkhah; Ludeman, Lonnie C.

doi:10.1109/acssc.1993.342296

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The Frozen Newton Methods1

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“…Taylor series expression helps in representing a function as a sum of infinite terms comprising its derivatives at a point, and was introduced in 1715 by Brook Taylor [13] and is given by the expression given in ( 9) [14][15]  …”

Section: The Frozen Newton Methodsmentioning

confidence: 99%

Exploring applications of Frozen Newton Method in the design of digital filter

2021

IJATCSE

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Digital filters are popularly used in digital signal processing. The design of these filters can be done using different methods of which the rectangular window method and Frequency sampling methods are commonly used. Filter design using wavelet coefficients also shows better response. In this paper, we explore the use of the Frozen Newton method in improving the response of the filter designed using these methods. This iterative computing is applied considering the Taylor series expansion of the function up to the first order term called the Jacobian

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Section: The Frozen Newton Methodsmentioning

confidence: 99%

Exploring applications of Frozen Newton Method in the design of digital filter

2021

IJATCSE

View full text Add to dashboard Cite

show abstract

Signal processing using the generalized Taylor series expansion

Cited by 1 publication

References 9 publications

Exploring applications of Frozen Newton Method in the design of digital filter

Exploring applications of Frozen Newton Method in the design of digital filter

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