Signal Processing” No. 2-2013
15 International Scientific Research Conference
"Digital Signal Processing and its Application - DSPA-2013"
- digital filtering;
- analysis of scalegramms;
- algorithm of finding maximal singular value;
- demodulation of radio signals;
- modulation recognition.
ONE-DIMENSIONAL VECTOR STATIONARY LINEAR DIGITAL FILTERS
Gadzikovsky V.I., email@example.com
The methods of description and block diagrams of the one-dimensional vector
digital filters including the generalized linear noise model of L. Jackson
are considered. The evaluation of the noise influence and the calculation
of required number of digits of digital signal processors with a fixed
point are carried out.
Keywords: one-dimensional vector digital filter, fixed-point processor,
METHOD FOR REAL SEQUENCE DISCRETE
FOURIER TRANSFORM FAST EVALUATION
Ponomareva O.V., Ponomarev A.V., Ponomareva N.V., firstname.lastname@example.org
The paper presents
a method and an algorithm for fast computation of the discrete Fourier
transform (DFT), based on the properties of parametric discrete Fourier
transform (DFT-D). A comparison of the proposed fast Fourier transform
algorithm with existing algorithms is presented. The efficiency of the
proposed approach is considered.
Keywords: discrete Fourier transform, parametric discrete Fourier
transform, fast Fourier transform, actual sequence, even / odd symmetry
of spectrum, complex conjugate symmetry.
OF SHORT-TIME FOURIER AND CONTINUOUS WAVELET TRANSFORMS FOR SPECTRAL ANALYSIS
OF MUSICAL SIGNALS
Aliyev R.M., RomanAliyev@gmail.com
The method to improve time-frequency accuracy during spectral analysis
of musical signals is offered. The method optimizes the parameters of
spectral transforms and includes three stages - spectral modeling of sound
samples, synthesis of music spectrums, and comparison of the synthesized
and computed spectrums. Experiments with classical music databases presented
the optimum window size in short-time Fourier transform and the optimum
wavelet compactness in continuous wavelet transform are explored.
Keywords: time-frequency analysis, short-time Fourier transform,
wavelet transform, musical signal.
THE ENCEPHALOGRAMS ANALYSIS BASED ON CHAINS RESEARCH OF SCALEGRAMMS
Turovsky Ya.A., Kurgalin S.D., Semenov A.G., email@example.com
It is shown that a new type of observable information can be extracted
from electroencephalograms (EEGs) by analysis of chains structure of scalegramms
local maximums which are obtained by use of continuous wavelet transform.
High efficiency of this method as a tool for the study of brain activity
Keywords: wavelet-analysis, biomedical information, electroencephalogram.
THE DYNAMIC OF POWER INDEXES OF LOCAL MAXIMUMS CHAINS OF THE WAVELET-COEFFICIENTS
FOR BIOMEDICAL SIGNALS
Turovsky Ya.A., Kurgalin S.D., Semenov A.G.,
of local maxima chains (LMCs) determination of the continuous wavelet
transform coefficients for different types of signals and analysis of
their characteristics with use of Morlet wavelet function as basic function
is presented. Various ways of LMCs detection and approaches to research
of their properties are demonstrated, advantages and lacks are noted.
The dynamics typologization of the energetic values of local spectra maxima
forming LMCs is carried out and its results are presented. The energy
averaging algorithms of LMCs are proposed. Three ways of these averages
are presented. Five types of LMCs energy maxima dynamic behavior both
for model signals and for real EEGs is revealed.
Keywords: wavelet-analysis, electroencephalogram, local spectrum,
chain of local maxima.
USING THE SPARSE APPROXIMATION AND CLUSTERING METHODS FOR THE TIME
SERIES STRUCTURE DESCRIPTION OF ACOUSTIC EMISSION
Afanaseva A.A., Lukovenkova O.O., Marapulets Yu.V., Tristanov A.B.,
The sparse approximation method with novel dictionary has been used for
time-frequency analysis of acoustic emission. The proposed dictionary
is based on Berlage's functions. The algorithm for the acoustic impulses
detection, based on the methods of sparse approximation and clustering
sparse approximation, time-frequency analysis, acoustic emission, clustering.
EFFICIENT ALGORITHM FOR FINDING THE MAXIMUM SINGULAR VALUE FOR SOLVING
THE PROBLEM OF RANDOM SIGNAL DETECTION
Ratynsky M.V., Petrov S.V., firstname.lastname@example.org,
An algorithm for finding the maximum singular value of a rectangular complex
matrix for solving the problem of random signal detection from an external
source against the background of the intrinsic noise of the antenna-receiver
system is proposed. The algorithm is based on the use of the iterative
power method applied to the matrix of input signals samples of detector
received from the outputs of the antenna array elements. This eliminates
the step of forming the sample estimate of the input signals correlation
matrix, that allows obtaining a significant gain in the amount of computation
that under certain task settings can reach 5 to 10 times and more.
Keywords: detection of a random signal, the maximum singular value,
the power method, the rectangular complex matrix.
DEMODULATION OF V-BLAST SPATIALLY MULTIPLEXED RADIO SIGNALS WITH MULTIPLE
Mukhin I.A., Nemirovsky M.S., email@example.com
The energy efficiency comparison of different methods of collective demodulation
in V-BLAST networks with use of multiple manipulations depending on the
characteristics of radio waves propagation paths is produced. All paths
are classified on the basis of the real paths model offered in authors'
work . Data on the effectiveness of collective demodulation various
methods (including relatively little-studied relaxation methods) obtained
for each path class by simulation in MATLAB. Basically discusses options
with QAM. A certain place is given to options with multiple PSK, because,
as shown in this article, the difference in power of used radio signals
negatively affects the efficiency of demodulation in V-BLAST networks.
Keywords: MIMO, V-BLAST, multiple antenna systems, spatial multiplexing,
WHAT CAN WE FIND OUT NOT KNOWING ANYTHING A PRIORI
Beljaeva M.B. firstname.lastname@example.org
Modulation recognition problem is considered in the case of greatest possible
uncertainty: no signal characteristics are known a priori, no noise distribution
and signal-to-noise ratio are known also. The only assumption made is
the symbol rate interval which may be as wide as desired. Vertical boxes
algorithm (VBA) for non-cooperative automatic discrimination between digital
signals with amplitude information (AI) from those without AI is presented.
VBA also distinguishes between some other classes of signals. Some numerical
simulations illustrate the VBA effectiveness.
Keywords: modulation, modulation recognition, vertical boxes algorithm.
"DIGITAL SIGNAL PROCESSING" IN THE NEW SYSTEM OF HIGHER PROFESSIONAL
Alla I. Solonina, email@example.com
basic and more fundamental education in Digital Signal Processing (DSP),
its place inside the architecture of the contemporary system of higher
professional education and inside university architecture, as well as
its content and methods of learning based on computer modeling.
Keywords: methods of teaching, digital signal processing, system
of higher professional education.
HARMONIZATION OF THE RUSSIAN STANDARDS OF THE HI-SPEED INTERFACES
Issue of design of hi-speed information system in Russia is studied.
Classification of hi-speed interfaces is offered. Righthold and design
organizations of standards is reviewed. Íarmonization prepositions are
Keywords: hi-speed interfaces, standards, harmonization of standards.
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