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SchematicSolver
version 2
Miroslav D. Lutovac and Dejan V. Tosic
Mathematica Application
Draw - Solve - Implement Systems
Symbolic Signal Processing
Software Implementation
Nonlinear systems
Mouse Driven Interactive Drawing Tool
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What's New on AFD Site?
Awarded Project , December 2004
Adapted from Newsletter Nr. 28, December 2004,
Central European Initiative - CEI Newsletter, monthly
published by CEI - Executive Secretariat, Via Genova 9,
34121 Trieste, Italy, www.ceinet.org
With a ceremony held on 17 December at the CEI-Executive
Secretariat Headquarters in Trieste in the framework of the
concluding annual meeting of the Committee of CEI National
Coordinators and in the presence of the representatives of
the Trieste research institutions, university, consular
missions and media, the winners of the "From Research to
Enterprise" call for proposals were honored. The call, aimed
at facilitating the establishment of new companies by
scientists and researchers wishing to commercialize their
discoveries, was launched in May by the CEI-ES and initiated
by Prof. Carlo Rizzuto, Chairman of the CEI Working Group on
Science and Technology. By the end of September, altogether
60 proposals from 13 CEI countries had been submitted to the
Evaluation Committee, chaired by Prof. Rizzuto and
consisting of the CEI Science Advisor Gianfranco Cicognani
as well as of representatives of the Area Science Park in
Trieste (an institution specialized in bringing together
science and business); BIC Sviluppo Italia and Finest. In
two sessions (in October and November), the Committee
selected the six award-winning proposals. The largest part
of the 10.000 EUR- awards will be used for feasibility
studies analyzing the viability of setting up a commercial
company. "The prize is not just for the scientific, but also
for the economic potential of the projects," underlined
Vincenzo Calogero, Head of the CEI Project Secretariat, in
his laudatio which he pronounced jointly with Gianfranco
Cicognani.
Miroslav Lutovac (Serbia): "New Software
Turning Algorithms into Implementation". The Committee
stresses that this product - combining expertise in signal
processing, software engineering and system design - is
unique and there is no similar product available on the
market. The marketing campaign should present all the
benefits of this new software. Financial support for
organizing the online interactive training courses and
customer support is needed.
Newsletter28Dec.pdf
Book translated into Chinese
M. D. Lutovac, D. V. Tosic, B. L. Evans, Filter Design for
Signal Processing Using MATLAB and Mathematica, (published
by Prentice Hall) has been translated into Chinese,
translated by Zhu Yi Sheng and Liu Gong Wang, Publishing
House of Electronics Industry, Beijing, ISBN 7-5053-8710-3, © 2004.
SchematicSolver 2 has unique features not available in other software:
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Symbolic signal processing -- computation of the
symbolic output sequence, for a symbolic input sequence,
with both the system parameters and the initial conditions
specified by symbols
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Symbolic derivation of the system response and
transfer functions as closed-form expressions in terms of
symbolic system parameters
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For some nonlinear systems, derivation of
closed-form expressions of output signals for
stimuli given by closed-form expressions
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Automated generation of software implementation of
linear and nonlinear discrete systems directly
from the schematic specified by symbolic parameters
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Derivation of closed-form relations
between parameters of a system, such as the
power-complementary property of high-speed digital filters
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Mixed symbolic-numeric signal processing and optimization
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Design of linear systems for known symbolic
transfer function or impulse response
New Features in Version 2
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Automated generation of software implementation of
linear and nonlinear discrete systems
directly from the schematic
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Symbolic signal processing with MIMO systems -- computation of
the symbolic output sequence, for a symbolic input sequence,
with both the system parameters and the initial conditions
specified by symbols
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For some nonlinear systems, derivation of
closed-form expressions of output signals for
stimuli given by closed-form expressions
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Modeling systems that work with symbolic complex signals,
such as the Hilbert transformer
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Modeling multirate systems -- functions for
upsampling and downsampling discrete signals and
for generating the most common discrete signals
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Functions for plotting frequency response,
sequences that represent discrete signals,
Discrete Fourier Transform spectrum, and
Discrete-Time Fourier Transform spectrum
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Functions to generate common schematics
with symbolic system parameters
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Design of linear systems for known symbolic
transfer function or impulse response
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Accurate simulations of discrete-time (digital) and
continuous-time (analog) systems, such as
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velocity servo systems
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adaptive LMS systems
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automatic gain control (AGC) systems
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quadrature amplitude modulation (QAM) systems
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square-law envelope detectors
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thermodynamics of a house
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high-speed recursive filters
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Hilbert transformer
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efficient multirate systems
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dynamic feedback and control systems
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digital filters, CD-media controller
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shuttle pitch control
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satellite elevation tracking system
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