Hannu Olkkonen

Juuso T. Olkkonen received his M.Sc. and Ph.D. degrees in physics from the University of Oulu, Finland, in 2002 and 2010, respectively. During the years 2002-2004 he was a visiting researcher in Optical Sciences Center at the University of Arizona. He is currently working in multidisciplinary projects at VTT Technical research centre of Finland. His current research interests in digital signal processing include discrete wavelet transform algorithms, B-spline filters, fractional time-shift and Hilbert transform operators, novel sampling and reconstruction techniques for ultra wideband and optical pulse waveforms. He is also very active in other research fields related to micro- and nanophotonics, paper-based microfluidics, electrical biosensors and electromagnetic modeling. He has authored and co-authored more than 30 reviewed journal articles, two book chapters and 13 international reviewed conference papers.

2books edited

3chapters authored

Latest work with IntechOpen by Hannu Olkkonen

The discrete wavelet transform (DWT) algorithms have a firm position in processing of signals in several areas of research and industry. As DWT provides both octave-scale frequency and spatial timing of the analyzed signal, it is constantly used to solve and treat more and more advanced problems. The present book: Discrete Wavelet Transforms: Algorithms and Applications reviews the recent progress in discrete wavelet transform algorithms and applications. The book covers a wide range of methods (e.g. lifting, shift invariance, multi-scale analysis) for constructing DWTs. The book chapters are organized into four major parts. Part I describes the progress in hardware implementations of the DWT algorithms. Applications include multitone modulation for ADSL and equalization techniques, a scalable architecture for FPGA-implementation, lifting based algorithm for VLSI implementation, comparison between DWT and FFT based OFDM and modified SPIHT codec. Part II addresses image processing algorithms such as multiresolution approach for edge detection, low bit rate image compression, low complexity implementation of CQF wavelets and compression of multi-component images. Part III focuses watermaking DWT algorithms. Finally, Part IV describes shift invariant DWTs, DC lossless property, DWT based analysis and estimation of colored noise and an application of the wavelet Galerkin method. The chapters of the present book consist of both tutorial and highly advanced material. Therefore, the book is intended to be a reference text for graduate students and researchers to obtain state-of-the-art knowledge on specific applications.

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