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Abstract
In the context of extracting analytic eigen or singular values from a polynomial matrix, a suitable cost function is the smoothness of continuous, real, and potentially symmetric periodic functions. This smoothness can be measured as the power of the derivatives of that function, and can be tied to a set of sample points on the unit circle that may be incomplete. We have previously explored the utility of this cost function, and here provide refinements by (i) analysing properties of the cost function and (ii) imposing additional constraints on its evaluation.
Original language  English 

Number of pages  5 
Publication status  Accepted/In press  1 Mar 2019 
Event  Sensor Signal Processing for Defence 2019  Brighton, United Kingdom Duration: 9 May 2019 → 10 May 2019 
Conference
Conference  Sensor Signal Processing for Defence 2019 

Abbreviated title  SSPD'19 
Country/Territory  United Kingdom 
City  Brighton 
Period  9/05/19 → 10/05/19 
Keywords
 functions
 sample points
 values
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 1 Active

Signal Processing in the Information Age (UDRC III)
EPSRC (Engineering and Physical Sciences Research Council)
1/07/18 → 31/03/24
Project: Research