نتایج جستجو برای: hartley functions

تعداد نتایج: 492781  

2014
J. Viallon S. Lee P. Moussay K. Tworek M. Petersen R. I. Wielgosz

Introduction Conclusions References

Journal: :Journal of Physics: Conference Series 2011

Journal: :The Astronomical Journal 2013

2008
Ioannis Paraskevas Maria Rangoussi

The phase of a signal conveys critical information for signal interpretation. However, signal phase extraction is not a straightforward process, mainly due to the discontinuities appearing in the phase spectrum. Previously, it was shown that for the application of audio classification, in case features of the processed phase spectrum are combined with magnitude related features they provide hig...

2003
N. Taniguchi S. Hayashida

Sensitivity studies of the recent new data on O(D) quantum yields in O3 Hartley band photolysis in the stratosphere N. Taniguchi, S. Hayashida, K. Takahashi, and Y. Matsumi Faculty of Science, Nara Women’s University, Kitauoya-Nishimachi, Nara, 630-8506, Japan Solar-Terrestrial Environment Laboratory, Nagoya University, Honohara 3–13, Toyokawa, 442-8507, Japan Received: 3 February 2003 – Accept...

2014
Fiorenzo Stirpe

The history of RIPs, especially the toxic ones, has been well reviewed recently. This present chapter will summarize the research steps that in the last 40 years have led to significant advancements in the knowledge of these proteins, of their mechanism of action, and of their possible practical applications in medicine and in agriculture. Ribosome-inactivating proteins (RIPs), initially discov...

Journal: :Expert Syst. Appl. 2017
Aykut Koç Burak Bartan Erhan Gundogdu Tolga Çukur Haldun M. Özaktas

Sparse recovery aims to reconstruct signals that are sparse in a linear transform domain from a heavily underdetermined set of measurements. The success of sparse recovery relies critically on the knowledge of transform domains that give compressible representations of the signal of interest. Here we consider twoand three-dimensional images, and investigate various multi-dimensional transforms ...

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