Picture of blood cells

Open Access research which pushes advances in bionanotechnology

Strathprints makes available scholarly Open Access content by researchers in the Strathclyde Institute of Pharmacy & Biomedical Sciences (SIPBS) , based within the Faculty of Science.

SIPBS is a major research centre in Scotland focusing on 'new medicines', 'better medicines' and 'better use of medicines'. This includes the exploration of nanoparticles and nanomedicines within the wider research agenda of bionanotechnology, in which the tools of nanotechnology are applied to solve biological problems. At SIPBS multidisciplinary approaches are also pursued to improve bioscience understanding of novel therapeutic targets with the aim of developing therapeutic interventions and the investigation, development and manufacture of drug substances and products.

Explore the Open Access research of SIPBS. Or explore all of Strathclyde's Open Access research...

Parameter identification of transfer functions using an improved vector fitting method

Wang, W. and Zhang, L. and Li, Q. and Siew, W.H. (2008) Parameter identification of transfer functions using an improved vector fitting method. In: Asia-Pacific Symposium on Electromagnetic Compatibility and 19th International Zurich Symposium on Electromagnetic Compatibility, 2008. APEMC 2008. IEEE, pp. 375-378. ISBN 9789810806293

Full text not available in this repository.Request a copy from the Strathclyde author


The paper presents an improved vector fitting method for the approximation of the non-flat amplitude-frequency response curve of an antenna used in near-field measurements. The method introduces a first order derivative and a post-multiplication of the coefficient matrix by a diagonal matrix to the standard vector fitting method. Simulation and application results showed that the improved methodology can approximate the finer details of the actual frequency response curve better. It also produces a higher fitting accuracy when compared to the general vector fitting method. The improved method also has the advantage of requiring a smaller sample size in the frequency domain.