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Dyakonov V.
Professor Vladimir P. Dyakonov – is a well known Russian scientist, professor and technical writer. He is a Soros Professor in Mathematics in 1999 and 2001.
As Doctor of Engineering, Chair of Physical and Information Electronics faculty in SmolGU (technical University in Smolensk), Vladimir Dyakonov put his efforts, knowledge and years of experience to bring an invaluable contribution to the science and allow it to develop progressively.
Books of this author
Articles of this author
Multifunctional budget AKTAKOM AWG-41XX series generators
Issue: KIPiS 2012 #6
AKTAKOM AWG-41XX series digital generators are capable of forming independent signals on two channels. The devices of this series use the latest methods of many signals generation and direct digital synthesis of arbitrary waveforms providing the high stability of the output frequency and high frequency and amplitude resolution. At the same time the price of such generators is very low. These AKTAKOM generators combine functions of various devices: digital sine wave generator, pulse generator of different forms, arbitrary waveform generator, digital frequency meter etc. All of these functions give us lots of advantages. Read about the functions of AKTAKOM generators and their use in the present article.
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The use of common digital spectrum analyzers in the test of signal generators
Issue: KIPiS 2010 #4
Nowadays the generators of sinusoidal and pulse signals are widely used in various electronic, communication, radar, broadcasting and other devices. This article describes the use of digital spectrum analyzer for comprehensive testing and control of signal generators. As an example one of the most popular and relatively cheap digital spectrum analyzers AKTAKOM AKC-1301/1601 with the band frequencies from 9 kHz to 3/6 GHz is given.
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Wavelet signal analysis of actual oscillograms using MathLab
Issue: KIPiS 2010 #3
This article is devoted to the newest means of wavelet signal analysis which haven’t been implemented yet in digital oscilloscopes hardware. These new means provide precise signal analysis and detection of hardly detectable signal characteristics. In MathLab these features are already applied in additional Wavelet Toolbox package and can be used in practice for actual oscillograms analysis. This article closes the theme started in the previous editions of our magazine.
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