Whittaker-Kotelnikov-Shannon sampling theorem and aliasing error
Journal of Approximation Theory
Uniform bounds for sampling expansions
Journal of Approximation Theory
Average widths and optimal recovery of multivariate Besov classes in Lp(Rd)
Journal of Approximation Theory
Optimising uplink scheduling in an integrated 3G/WLAN network
International Journal of Wireless and Mobile Computing
Optimal learning of bandlimited functions from localized sampling
Journal of Complexity
Error analysis of quantised RSSI based sensor network localisation
International Journal of Wireless and Mobile Computing
Speeding-up information retrieval with the employment of a multi-agent system
International Journal of Wireless and Mobile Computing
Evolutionary optimised consensus and synchronisation networks
International Journal of Bio-Inspired Computation
Error Bounds for Multi-dimensional Whittaker-Shannon Sampling Expansion
CMSP '11 Proceedings of the 2011 International Conference on Multimedia and Signal Processing - Volume 02
Seeker optimisation algorithm for the solution of economic load dispatch problems
International Journal of Bio-Inspired Computation
Optimal design of multilayered composite plate using bio-inspired optimisation techniques
International Journal of Bio-Inspired Computation
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Optimal error bounds for multi-dimensional Shannon sampling expansion approximation are derived for both band-limited signals and some regular band-limited signals. Let Bpv(ℝd), 1 ≤ p < ∞, be the space of all bounded band-limited functions from Lp(Rn). The uniform bounds for truncated multi-dimensional Whittaker-Shannon series based on local sampling are derived for signal functions f∈ Bpv(ℝd) without decay assumption. Then the optimal bounds of aliasing and truncation errors for non-band-limited signal functions from Sobolev classes U(Wrp(ℝd)) with r ≥ d are obtained up to a logarithmic factor in their original OpenMP form and in the code form resulting from our translation is encouraging.