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Abstract: Session SPTM-11 |
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SPTM-11.1
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Rational Signal Subspace Approximation with Applications to DOA Estimation
Mohammed A. Hasan (University of Minnesota Duluth),
Jawad A. Hasan (University of Baghdad)
In this paper, we have developed an approach for approximating the signal and noise subspaces which avoid the costly eigendecomposition or SVD. These subspaces were approximated using rational and power-like methods applied to the sample covariance matrix. It is shown that MUSIC and Minimum Norm frequency estimators can be derived using these approximated subspaces. These approximate estimators are shown to be robust against noise and overestimation of number of sources. A substantial computational saving would be gained compared with those associated with the eigendecomposition-based methods. Simulations results show that these approximated estimators have comparable performance at low signal-to-noise ration (SNR) to their standard counterparts and are robust against overestimating the number of impinging signals.
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SPTM-11.2
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3-D Emitter Localization Using Inhomogeneous Bistatic Scattering
Scott D Coutts (MIT Lincoln Laboratory)
The purpose of this work is to establish how a moving emitter can be localized by a passive receiver using inhomogeneous bistatic scattering. This is a novel localization technique that assumes no a priori knowledge of the location of the reflecting sources. The emitter parameters of range, heading, velocity, and altitude are estimated and the variances of the estimates are determined. The proposed estimator is successfully demon-strated using field data collected at White Sands Missile Range during the DARPA/Navy Mountaintop program
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SPTM-11.3
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A New Technique to Filter Reduction for Speech Signal Processing Systems
Luowen Li (Computer Control Lab. School of EEE. Nanyang Technological University. Singapore 639798),
Lihua Xie,
Gang Li,
Yeng Chai Soh (School of EEE. Nanyang Technological University. Singapore 639798)
In many applications, one needs to approximate a filter
of very high order with that of lower order. To reduce
the order of the filter, some techniques such as
balanced model reduction approach are often applied.
In this paper, we will introduce a new technique which
is based on minimizing the $H_2$-norm between the
filter of very high order and the reduced one. This
technique shows much better performance than other
existing model reduction methods and is applied
to estimating the vocal tract filter for speech
processing systems. A speech processing example is
presented to demonstrate the design procedure and
the performance of the proposed algorithm.
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SPTM-11.4
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PIRANHA FILTER FOR COMMUNICATION SYSTEM ROBUSTNESS
LANDRY M René Jr. (SupAero - ONERA/CERT),
CALMETTES M Vincent,
BOUSQUET Michel (SupAero)
The designed rejection filter is of recursive
prediction error (RPE) form and uses a special
constrained model of infinite impulse response (IIR)
with a minimal number of parameters. The so-called
PIRANHA Filter is made up independent cascaded
adaptive cells realising high rejection at certain
frequencies. The convergent filter is characterised
by highly narrow-bandwidth and uniform notches of
desired shape. Results from simulations illustrate
the performance of the algorithm used in the PIRANHA
Filter under a wide range of conditions and situations.
This paper intends to give a description of the PIRANHA
Structure, the mechanism of its interference detection
monitoring and the filter stability control.
The PIRANHA Filter has shown to be an efficient
solution for detection, tracking and elimination of
multiple high power CWIs and Narrow Band Jammers.
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SPTM-11.5
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Warped Linear Time Invariant Systems And Their Application In Audio Signal Processing
John Garas,
Piet C.W. Sommen (Eindhoven University of Technology)
The main goal behind coordinate transformation
(warping) of a Linear Time Invariant (LTI)
system is to represent its signals in terms of
new basis functions that better suit the application
in hand. Unitary operators simplify the analysis
considerably; therefore, they are used to derive
the relations between variables in the original
and warped domains. These relations show that an
LTI system can be warped by processing its input
signals with a unitary warping transformation.
An efficient implementation of this warping
transformation, that is based on a nonuniform
sampling theorem, is given; which allows applying
the warping principle in real-time applications.
As an example of exploiting this technique, it is
shown that sampling an audio signal at exponentially
spaced moments changes the underlying coordinates of
its signal processing system to suit those of the
human auditory system.
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SPTM-11.6
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Efficiency of Radix-K Transforms on Computers with Cache
Ryszard M. Stasinski (Hoegskolen i Narvik, Norway)
In the paper impact of the most critical part of the up-to-date computer
memory hierarchy, the cache, on the efficiency of fast transform
algorithms (e.g. FFT, DCT/DST, DWHT, including multidimensional
generalizations) is analyzed. Cache misses can severely deteriorate
efficiency of a computer program, and indeed, it is shown that for large
data vectors a modification of a fast transform algorithm realization
may change their number dramatically. Several memory managing problems
are pointed out, and suggestions for their amelioration are given.
Formulae on the minimum of data-related cache misses for radix-2^s
transform realizations are given, s is an integer.
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SPTM-11.7
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A Novel Method for Power Line Interference Suppression
George Keratiotis,
Larry Lind (ESE Department, University of Essex, Colchester CO4 3SQ, United Kingdom),
John W Cook,
Minesh Patel,
Dave Croft,
Pete Whelan,
Peter Hughes (British Telecommunications Laboratories, Martlesham Heath, Ipswich, Suffolk IP5 3RE, United Kingdom)
In this paper, a novel method to suppress the power
line interference induced into telephone lines that
are in proximity to power conductors is proposed. A
phase-locked loop is used to synchronize the
interference signal with an anti-phase waveform,
which is stored in a buffer. The anti-phase signal is
injected on the line and the samples of the residual
signal are used to update the anti-phase waveform.
Computer simulations are used to compare the novel
Adaptive Phase-Locked Buffer (APLB) approach with
the traditional Least Mean Squares (LMS) algorithm
in an adaptive noise cancellation configuration. The
new technique achieves 15 dB further suppression
compared to LMS and since it can be implemented on
a single Digital Signal Processor (DSP) chip it
proves to be a very efficient solution to the
power line interference problem.
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SPTM-11.8
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ADAPTIVE POWER-LINE DISTURBANCE DETECTION SCHEME USING A PREDICTION ERROR FILTER AND A STOP-AND-GO CA CFAR DETECTOR
Jaehak Chung,
Edward J Powers,
W Mack Grady (Department of Electrical and Computer Engineering, The University of Texas at Austin),
Sid C Bhatt (Electric Power research Institute)
This paper presents a new power-line disturbance detection algorithm.
The utilized recursive least square (RLS) prediction error filter extracts the power-line disturbance signal from recorded data,
and the modified stop-and-go cell average constant false alarm rate (CA CFAR) detector makes a decision based on the squared output of the previous stage.
The detection performance of the proposed algorithm is determined by simulations,
and actual high voltage transmission line data is utilized to demonstrate the performance of the proposed algorithm.
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SPTM-11.9
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Time Series Analysis for ECG Data Compression
Hazem M Abbas (Ain Shams University, Faculty of Engineering, Dept. Computer and Systems Engineering)
This work presents a new electrocardiogram (ECG) data compression method.
By differentiating the signal and using proper thresholding, the ECG is
first
segmented into a sequence of straight lines. The vertices of these lines are
used to encode the signal. The decoding part works by applying
Korenberg's
Fast Orthogonal Search (FOS) method to reconstruct the original signal.
Simulation results have demonstrated the efficiency of the algorithm.
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SPTM-11.10
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A PARALLEL RESIDUE-TO-BINARY CONVERTER
Wei Wang,
M.N.S Swamy,
M. Omair Ahmad,
Yuke Wang (Concordia University)
In this paper, a high-speed parallel residue-to-binary converter is proposed for the recently introduced moduli set S^k={2^m-1,2^((2^0)m)+1,2^((2^1)m)+1,..., 2^((2^k)m) +1} for a general value of k. The proposed converter replaces the multiplications of the residue-to-binary conversion by simple cyclic shift and concatenation operations. For the purpose of comparison, the individual converters for the cases of k=0 and 1 are derived from the general architecture. The converter for S^0 is twice as fast as the previous converter using only one-half of the hardware, while that of S^1 is three times as fast, but requiring only 60% of the hardware.
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