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“Digital
Signal Processing” No. 2-2012 |
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O.V. Ponomareva
Fast Parametric Discrete Fourie Transformation of Real Sequences
Using standard complex FFT-P with ?=1/2 to real x(n), n=0,N 1 sequences
on the one hand results in calculating N/2 spectrum points at negative
frequencies with no additional information for x(n) signal spectrum (excessive
computation). On the other hand a desired memory capacity is twice as
much as the required one (excessive memory costs). To eliminate the above
drawbacks FFT-P algorithms of real sequences are proposed thereby including
both memory and calculation costs. FFT-P algorithms of real sequences
with ?=1/2 is also proposed.
O.V. Ponomareva, e-mail: cikur@udmnet.ru
N.I. Oreshko, V.V. Geppener, D.M. Klionsky
Using Harmonic Wavelets in Oscillating Signal Processing
The paper deals with
using harmonic wavelets with reference to a wide class of oscillating
signals. New approaches to solve the problems of determining the boundaries
of typical processes in a signal and denoising the signals by harmonic
wavelets based on a modified thresholding are considered. General matrix
view for a harmonic wavelet transformation is deduced. Special criterion
for estimating the effectiveness of the given wavelets are introduced.
N.I. Oreshko, e-mail: oreshko@nicetu.spb.ru
V.V. Geppener, e-mail: geppener@mail.ru
D.M. Klionsky, e-mail: klio2003@list.ru
I.S. Azarov, A.A. Petrovsky
Real-Time Voice Conversion System with Text-Independent Training
Based on Hybrid Parametric Speech Representation
The paper presents a voice conversion technique based on a hybrid parametric
speech representation. The conversation function is estimated by using
speech samples of source and target speakers with an arbitrary text content.
The effectiveness of a proposed technique is estimated by experimental
implementation of voice conversion system.
I.S. Azarov, e-mail: azarov@bsuir.by
A.A. Petrovsky, e-mail: palex@bsuir.by
O.V. Mandrikova, I.S. Solovyev
Wavelet-Based Approach for Geomagnetic Data Processing and Analysis
The paper deals with creating automated systems to analyze geomagnetic
data, determine and identify local features, caused by solar activity.
The authors propose wavelet-based algorithms to reveal in automatic mode
local structures forming a recorded geomagnetic signal to analyze and
identify these structures as well. The proposed methods and approaches
are approved by the Earth’s magnetic field data obtained in Paratunka
observatory (village Paratunka, Kamchatka region).
O.V. Mandrikova, e-mail: ikir@ikir.ru
I.S. Solovyev, e-mail: kamigsol@yandex.ru
O.V. Mandrikova, Yu.A. Polozov
Method of Allocating Abnormal Features in Critical Frequency Data of the
Ionosphere based on Combination of Wavelet Transformations and Neural
Works
A method of automatic allocating the abnormal features occurring in a
recorded time series of ?oF2 critical frequency of the ionosphere during
abnormal seismic or solar activity is proposed. The method is based on
a combined use of wavelet transformation and neural networks. Wavelet-based
algorithms for allocating the abnormal features and estimating their parameters
are developed. Determining and analyzing the specific time series components
are carried out by a combined use of wavelet transformation and neural
networks. Method approbation is performed with ?oF2 data obtained in observatory
“Paratunka” (village Paratunka, Kamchatka region).
O.V. Mandrikova, e-mail: ikir@ikir.ru
Yu.A. Polozov, e-mail: up_agent@mail.ru
A.A. Mikheev, P.A. Blinov, N.S. Tochilina
Multirate
Processing in Electrocardiosignal Filtering
One of the effective methods for eliminating additive noise in electrocardiosignal
is considered. Multirate electrocardiosignal processing is proposed to
be used. Decimation variants of electrocardiosignal sampling frequency
and pulse filter performance are presented.
N.S. Tochilina, e-mail: me@rsreu.ru
A.M. Paramonov
Receiving CQPSK signals by Frequency Discriminator
Spectral characteristics of CQPSK signals are considered. Methods for
forming and demodulating of such signals are described. Digital realization
of incoherent CQPSK signal demodulator using frequency discriminator is
proposed. BER-SNR relations for this demodulator are estimated by a computer
simulation.
A.M. Paramonov, e-mail: pardimalex@mail.ru
A.M. Paramonov
Two-channel Crosspolarization Interference Canceller
One of the available block diagrams for a digital two-channel crosspolarization
interference canceller (XPIC) is given. Mathematical model of radio system
with orthogonal polarization and two-channel reception is described. The
effectiveness of cancelling crosspolarization interference while receiving
QAM signals is estimated by a computer simulation.
A.M. Paramonov, e-mail: pardimalex@mail.ru
A.A. Gorshenkov,
Yu.N. Klikushin, V.Yu. Kobenko
Algorithm for Detecting, Measuring and Classifying Signal Trends
An algorithm for solving the problems of detecting, measuring and classifying
signal trends is proposed. The algorithm is based on calculating the relative
distance between sample implementation of the signal tested and two reference
sequences formed out of the original signal by its forward and reverse
sorting. Reference sequences set left and right boundaries for a trend
measurement range of a signal being tested.
Yu.N. Klikushin, e-mail: kobra_vad@rambler.ru
V.Yu. Kobenko, e-mail: iit@omgtu.ru
V.I. Koshelev, V.A. Belokurov
Synthesis and Analysis of Adaptive Multiframe Algorithm for Detecting
a Small Target
Algorithm for detecting a radar signal with eliminating range ambiguity
based on its multiframe accumulation and adaptive amplitude estimation
is synthesized and analyzed. Hardware requirements to implement this algorithm
are determined.
V.I. Koshelev, e-mail: koshelev.v.i@rsreu.ru
V.A. Belokurov, e-mail: belokurov.v.a@rsreu.ru
A.I. Demidov, N.N. Zalogin, R.Sh. Komochkov, S.S. Mosolov, A.V. Sknarya,
S.A. Toschov, E.V. Tutynin
Active Sonar System with Ultra Wide Band Probing Signals
Some problems of
realizing wide-band technique in native sonar by collaborative works of
RAS IRE named after V.A. Kotelnikov and Public Company “NIIP”.
V.A. Mesterhazy
Program Integer-Valued Integration of ADC Signals
Problems of integrating digital signals in fast-acting real-time microprocessor
control systems are solved. Algorithms and program implementation in assembly
language are presented. The examples of various integration methods realized
in microprocessor systems being a success in energy complexes of our country
are given.
V.A. Mesterhazy,
e-mail: mesterhazy46@mail.ru, mst@vei.ru
V.G. Bartenev, A.Yu. Gordeev
New Method of Forming Weights for Adaptive Filtering of Unclassified Observation
Samples
Techniques of adaptive filtering for unclassified observation samples
based on weight cross control while forming these weights by Prony and
Steiglitz-McBride methods are considered. The results of unclassified
observation sample processing with a useful signal and two-component correlated
interference by using the above mentioned approaches to form filter weights
are given. Processing results of the same unclassified observation samples
but using autoregressive approach to form weights are presented as well.
V.G. Bartenev, e-mail: syntaltechno@mail.ru
A.Yu. Gordeev, e-mail: alexurgor2008@gmail.com
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