article · 1980
Design of a recursive vector processor using polynomial splines
Cited by 1Abstract and details only
Abstract
The problem of obtaining smoothed estimates of function values, particularly their derivatives, from a finite set of inaccurate measurements is considered. A recursive two-dimensional vector processor is introduced as an approximation to the nonrecursive constrained least-squares estimation. Here, piecewise bicubic Hermite polynomials are extensively used as approximating functions, and the smoothing integral is converted to a discrete quadratic form. This makes it possible to convert the problem of fitting an approximating function to one of estimating the function values and derivatives at the nodes.
Cite this paper
Kim, C., & Shen, C. (1980). Design of a recursive vector processor using polynomial splines. https://doi.org/10.1109/cdc.1980.271817
Kim, C., and C. Shen. “Design of a recursive vector processor using polynomial splines.” 1980, pp. 363–67, https://doi.org/10.1109/cdc.1980.271817.
Kim, C., and C. Shen. 1980. “Design of a recursive vector processor using polynomial splines.” https://doi.org/10.1109/cdc.1980.271817.
Kim, C. and Shen, C. (1980) ‘Design of a recursive vector processor using polynomial splines’. Available at: https://doi.org/10.1109/cdc.1980.271817.
@article{kim1980design,
title = {{Design of a recursive vector processor using polynomial splines}},
author = {Kim, C. and Shen, C.},
pages = {363--367},
year = {1980},
doi = {10.1109/cdc.1980.271817}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.