Visual C++ Complex Mathematical Signal Generator C. Dughir

Visual C++ Complex Mathematical Signal Generator C. Dughir
Visual C++ Complex Mathematical Signal Generator
C. Dughir1
1
“Politehnica” University of Timisoara, Electronics and Telecomunications, V. Pârvan 2A, 30022,
Timisoara, Romania, +40256403365, ciprian.dughir@etc.upt.ro
Abst rac t – In this paper is presented a signal generator who can generate at the output of a PC sound
card a combination of mathematical waveforms. The user can build complex mathematical functions to
be generated. The signal generator proposed is very simple to use and don’t require complex and
expensive hardware to run.
I. Introduction
In the testing process of different parts of an analysis system, very complex input signals are
needed. In this case, a simple function generator is useless. A complex mathematical signal generator is very
expensive, and in most cases the signals they provide is not 100% in concordance with the signal needed by
specific applications. In this paper is presented a signal generator who can generate an indefinite number of
combinations of basic mathematical functions (see Table 1) and send these signals to the output of a sound
card. In many applications, the 5 kHz maximum signal frequency is far enough (e.g.: electrocardiography).
The goal is to build a simple and cheap signal generator useful for many users and at an affordable price
even for small experiments.
II. The solution proposed
The solution proposed in this paper use a PC sound card to generate the complex shape
signals. These signals are mathematically computed by a special software component. The user can
specify the mathematical function combinations to be generated by the application (see figure 1).
Fig. 1. Application window of the signal generator
The signal generator application window contains a graph displaying the generated signal, an
edit box to introduce the mathematical function describing the desired output signal, and a list box of
files with pre-recorded signals to be generated. Once introduced in the edit box, the mathematical
formula is immediately interpreted and the corresponding output signal is generated. If an error is
encountered or the user inputs an invalid formula, a message box with the error is displayed.
If the user needs to generate signals pre-recorded in a file (generated before with other
software or captured from real medium), with specific disturbances or with specific shapes, the signals
can be generated by the application without problem. The user can add up to 1000 different input
signals from files (limited by the list box component capability), the generator output engine mixing
them by applying the desired operand between the signals. In order to obtain the correct shape of the
output signal the user must know the sampling frequency of each signal.
Fig. 2. Generation of a sine wave read from a file
In figure 2 is presented the generation of a sinus waveform read from a file generated using
Matlab 7 software.
In the process of evaluation of the global function specified by the user, each mathematic
functions and operators are separated from the global function, and then are interpreted. The function
interpreter extracts each basic mathematic function and computes the value of the function at the
current moment of time. The operators are applied to the results. If any of the parameters of the
function is missing, the engine presumes that parameters are equals to zero. The functions interpreter
has a set of few basic instructions and operators. These are simple mathematic functions and operators.
All known mathematic operators are available to the user. The basic functions which the engine can
interpret are presented in the following table:
Table 1. Correspondence between math functions and function interpreter syntax
Mathematic function
Interpreter Syntax
sin(x)
sin(amplitude, frequency, offset)
cos(x)
cos(amplitude, frequency, offset)
tan(x)
tan(amplitude, frequency, offset)
ctn(x)
ctn(amplitude, frequency, offset)
sqrt(x)
sqrt(amplitude, x, offset)
pow(x,y)
pow(x, y, amplitude, offset)
rand(x)
rand(amplitude, offset)
sinh(x)
sh(amplitude, frequency, offset)
cosh(x)
ch(amplitude, frequency, offset)
tanh(x)
th(amplitude, frequency, offset)
ctanh(x)
cth(amplitude, frequency, offset)
asin(x)
asin(amplitude, frequency, offset)
acos(x)
acos(amplitude, frequency, offset)
atan(x)
atan(amplitude, frequency, offset)
actn(x)
actn(amplitude, frequency, offset)
sign(x)
sign(x)
abs(x)
abs(x)
log(x)
log(x)
ln(x)
ln(x)
exp(x)
exp(x)
t (time)
t
The function interpreter can process user defined functions. The user defined functions are
mathematical formulas build using the basic mathematic functions, recognized by the function
interpreter, grouped together in a file. This is like an auxiliary library for the application. The file must
have the extension fnc. If any other function than presented in Table 1 is found in the global function
specified by the user in the main window of the application, the interpreter search in the current
directory of the application a file named like the unknown function. If such file is found, and if the
syntax is correct, the function will be internally replaced with the formulas contained in the file.
The signal generator can generate only periodical signals, the output signals being sampled at
44.1kHz (16bit).
Function 1
Global
fuction
Function
interpreter
Function 2
Function N
Operand 1
Operand 2
M
i
x
e
r
Sound
card
Display
Operand N
Fig. 3. Signal generator application diagram
The application was written in Microsoft Visual C++ 6, using MFC libraries [1][2]. The sound
generation engine is modular and if, in the future, a National Instruments signal generation card will be
added, only the sound generator class must be replaced in order the application to function properly. A
simple wrapper class must be inserted to communicate properly with the National Instruments
NiDaqMX library.
III. Experimental results
The generated signals at the output of the sound card was visualised with a National
Instruments NI PCI 6254M acquisition board. In Figure 4 is presented a 50Hz sine wave with a short
bi-exponential signal over imposed. The generated signals correspond with the signals specified by the
user in the application window. The test was made on 8 different sound cards (Audigy 1, Audigy 2, SB
Live 5.1, Sigmatel, ESS 688, ESS 1688, MAX and Turtle Beach). Due to some particularity of
different types of sound cards existing on the market (the presence or the absence of the output
capacitor), the minimum guaranteed frequency is 20Hz, and for some particular cases (Turtle Beach),
the minimum frequency is 1Hz. In conclusion, the signal generator proposed can be used to generate
signals with a 20Hz - 5kHz amplitude and user defined signal shapes.
IV. Conclusions
The signal generator can be used to generate signals at the output of the sound card, or in
demonstrative purposes to simply visualize on the screen the desired function or combination of
functions. In our days, almost any personal computer has a sound card, so the solution proposed here is
very cheap and easy to use for everyone. The user has no need to buy expensive signal generators or
expensive signal generation systems in order to generate the desired waveforms. The signals provided
by any sound card are between 0 and ±0.707Vef, being sufficient in most of the cases. A simple
operational amplifier can be used in order to amplify the output signal [3][4].
The author use this signal generator to test his power network disturbance detector presented
in [5]. Another utility of this signal generator is in the electro-medical applications class for presenting
to the student different EKG waveforms, and other biomedical signals pre-recorded in files.
The advantage of the signal generator presented here over the Matlab based signal generators
is the possibility to run this application on any computer better than 80486DX, with a minimum
amount of 8MB of RAM memory. The signal generators build on Matlab environment need a very
huge amount of memory and better CPU’s. The executable code of the applications was build with
speed optimizations in order to reduce the CPU load. Being written in Visual C++ using static libraries
option, the application doesn’t need any additional files or libraries. With little code modifications, the
application can be ported to Microsoft Windows Mobile operating system, running on portable devices.
Fig. 4 Signal generator output signal captured with National Instruments Measurements and
Automation Studio
References
[1] Microsoft, Microsoft Developer Network, documentation DVD, October 2001
[2] C. Petzold, Programming Windows, 5th edition, Microsoft Press, 1998
[3] Ciugudean, Mircea, Circuite integrate liniare-Aplicaţii, Editura Facla, Timişoara, 1986.
[4] Georges Asch et collaborateurs, Les capteurs en instrumentation industrielle, Imprimeie GauthierVillards, France, septembre 1991.
[5] Ciprian Dughir, “Detecting symmetrical disturbances in electrical power systems”, pag. 27-31,
Doctor Etc 2005, Timişoara, 22 September 2005.
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