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Application of canonical correlation analysis in detection in presence of spatially correlated noise

Application of canonical correlation analysis in detection i...

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advanced signal processing algorithms, architectures, and implementations II

作者： Chen, Wei G. Reilly, James P. Wong, Kon M. McMaster Univ. Hamilton Ontario Canada

ISBN: (纸本)0819406945

A new approach to the problem of detecting the number of signals in unknown colored noise environments is presented. Based on an assumption that the noise is correlated only over a limited spatial range, the principle of canonical correlation analysis is applied to the outputs of two spatially-separated arrays. The number of signals is determined by testing the significance of the sample canonical correlation coefficients. The new method is shown to work well in both white and unknown colored noise situations and does not require any subjective threshold setting. Instead, a set of threshold values are generated according to a specified or desired false alarm rate. Simulation results are included to illustrate the comparative performance of the proposed canonical correlation technique (CCT), versus the well-known AIC and MDL criteria, in colored noise. It is found that the performance of the AIC and MDL criteria degrade very rapidly as the degree of color in the noise increases. On the other hand, the performance of the CCT method is relatively insensitive with respect to variations in degree of color.

关键词： signal processing

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Comparison of the Gabor and short-time Fourier transforms for signal detection and feature extraction in noisy environments

Comparison of the Gabor and short-time Fourier transforms fo...

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advanced signal-processing algorithms, architectures, and implementations

作者： Auslander, L. Buffalano, C. Orr, R. Tolimieri, R.

Effective signal detection and feature extraction in noisy environments generally depend on exploiting some knowledge of the signal. When the signal is exactly known, the matched filter is the optimum signal processing strategy. Other signal processing strategies succeed when the signal detail is but partially known. The short-time Fourier transform and the Gabor transform are two methods that exploit signal envelope information. The former is a well known and widely used representation which is important in many fields. The related but distinct Gabor transform has been less frequently used, but has features absent in Fourier analysis. This paper compares the two transforms and makes the case that the Gabor representation can often be the more compact, and may require substantially less computation and storage in some applications. There is a sense in which the Gabor achieves a preferential trade of signal-to-noise ratio for resolution, and because of this, one can also expect better signal recognition and feature reconstructions from the Gabor transform in the presence of noise.

关键词： signal Detection

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New matrix decomposition based on transforming the basis sets of the singular value decomposition yields principal features for time-frequency distributions

New matrix decomposition based on transforming the basis set...

引用

Advance signal processing algorithms, Atchitectures, and implementations x

作者： Groutage, Dale Bennink, David Naval Surface Warfare Cent Bremerton United States

We present a matrix decomposition that can be used to derive features from processes that are described by discrete-time, time-frequency representations. These include, among others, electrocardiograms, brain wave signals, seismic signals, vibration and shock signals, speech signals for voice recognition, and acoustic transient signals. The new decomposition is based on a transformation of the basis vectors of the singular value decomposition (SVD) which we call transformed singular value decomposition or TSVD. The transformed basis vectors are obtained by forming linear combinations of the original SVD basis vectors in a way such that the means of the transformed vectors are extrema of each other. The TSVD basis vectors are used to identify concentrations of energy density in the discrete-time, time-frequency representation by time and frequency descriptors. That is, descriptors such as the location in time, the spread in time, the location in frequency and the spread in frequency for each principal concentration of energy density can be obtained from the TSVD terms in the matrix decomposition series. Several examples are presented which illustrate the application of the new matrix decomposition for deriving principal time and frequency features from the discrete-time, time-frequency representations of nonstationary processes. Two of the examples illustrate how the derived time and frequency features can be used to classify individual short duration transient signals into respective classes, that is,: (1) automatically classify sonar signals as belonging to one of ten classes, and (2) automatically classify heartbeat signals as belonging to one of two people.

关键词： signal processing

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Cumulant-based cubic difference tone (CDT) detectors for otoacoustic emissions (OAE) signals

Cumulant-based cubic difference tone (CDT) detectors for oto...

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advanced signal processing: algorithms, architectures, and implementations V

作者： Swami, Ananthram Rao, Preeti CS-3 Los Angeles CA USA

ISBN: (纸本)0819416207

Interactions among spontaneous otoacoustic emissions (SOEs), which are narrow-band signals emitted by the cochlea, include the cubic difference tone (CDT) that occurs at frequency 2f 1 - f2 due to the nonlinear coupling of primary SOEs at f1 and f2. We show that appropriately defined trispectra and tricoherence may be used to detect the CDTs. OAE signals are also characterized by temporal variations in the amplitudes and frequencies;this leads to polynomial phase models, and multiplicative noise processes;we give closed-form expressions for the large sample CRLB for the parameters of the resulting model. We also consider cyclic approaches, and we compare polyperiodogram and periodogram based approaches for the detection of arbitrary frequency coupling laws. Some of the techniques are validated against real data.

关键词： signal detection

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Multiple Transform Selection concept modeling and implementation using Interface Based SDF graphs 21

Multiple Transform Selection concept modeling and implementa...

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14th Workshop on Design and architectures for signal and Image processing, DASIP 2021, held jointly with the 16th HiPEAC conference

作者： Haggui, Naouel Belghith, Fatma Hamidouche, Wassim Masmoudi, Nouri Nezan, Jean-François Ietr Laboratory Insa Rennes France National School of Engineering of Sfax Tunisia

ISBN: (纸本)9781450389013

Recent studies predict that video data accounts for 82% of Internet traffic by 2022. This fact has motivated MPEG to define a new Video Coding Standard called Versatile Video Coding (VVC), which will be released by the end of 2020. VVC will offer the possibility to handle new video formats and to improve significantly video compression over its predecessor HEVC. Indeed, the objective is to reduce the necessary bit rate by half, at equivalent quality. These advances require the use of more complex algorithms, although the increase in complexity has been limited throughout the standardization process. In order to decrease the complexity of VVC and consequently the coding execution time, several methods have been introduced at different stages of the encoder. The aim of this paper is to explore the available parallelism of VVC to accelerate the coding and the decoding processes. This paper focuses on the transformation block and more specifically the new concept of Multiple Transform Selection (MTS) introduced by VVC. Moreover, a study of several granularity levels of Interface-Based Synchronous Dataflow (IBSDF) models and their impact on the performances obtained on x86 architectures is presented. IBSDF dataflow graph has been developed to reveal the available parallelism of MTS. The PREESM fast prototyping tool is then used for the mapping and the scheduling of MTS on virtual and real parallel architectures and for generating efficient parallel implementations on real architectures. PREESM has been used in this work to explore the potential parallelism offered by MTS and to prove the efficiency of MTS on multicore x86 architectures. Experimental results show a speed-up close to the optimum. © 2021 ACM.

关键词： Video signal processing

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Time frequency filtering and synthesis from convex projections

Time frequency filtering and synthesis from convex projectio...

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advanced signal-processing algorithms, architectures, and implementations

作者： White, Langford B. Defence Science and Technology Organisation Salisbury Australia

This paper describes the application of the theory of projections onto convex sets to time-frequency filtering and synthesis problems. We show that the class of Wigner-Ville Distributions (WVD) of L2 signals form the boundary of a closed convex subset of L2(R2). This result is obtained by considering the convex set of states on the Heisenberg group, of which the ambiguity functions form the extreme points. The form of the projection onto the set of WVDs is deduced. Various linear and non-linear filtering operations are incorporated by formulation as convex projections. An example algorithm for simultaneous time-frequency filtering and synthesis is suggested.

关键词： signal Filtering and Prediction

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Transient detection in the presence of strong narrow band interference via Wigner-Ville spectrum

Transient detection in the presence of strong narrow band in...

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advanced signal processing algorithms, architectures, and implementations 1990

作者： Marinovich, Nenad M. Roytman, Leonid M. Department of Electrical Engineering City College of the City University of New York New YorkNY10031 United States

We consider the problem of detecting a known Gaussian random transient in the presence of a strong, known, random, Gaussian, narrowband interference. This can be regarded as a special case of the classical problem of detecting a known Gaussian random signal in known Gaussian colored noise. There exists a standard solution for such a problem, based on the classical optimum detector for random signals in noise. However, such a detector does not explicitly use the non-stationary character of the signal as a priori available information. Reformulation of the optimum detection in the time-frequency plane allows one to exploit this distinguishing signal feature and suppress the stationary interference and noise. This is accomplished here by use of the Wigner-Ville signal representation and an optimum signal/noise subspace decomposition that maximizes the transient signal to noise ratio. The new detection procedure eliminates the subspace where major part of the energy of random noise sample will fall while retaining almost all of the signal energy. In this fashion, a gain in the output signal to noise ratio is achieved as verified by simulations. © 1990 SPIE. All rights reserved.

关键词： signal to noise ratio

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signal processing HARDWARE AND SOFTWARE APPLIED TO THE DEVELOPMENT OF A REAL-TIME INFRARED MISSION SIMULATION TEST CAPABILITY

SIGNAL PROCESSING HARDWARE AND SOFTWARE APPLIED TO THE DEVEL...

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conference on Smart Focal Plane Arrays and Focal Plane Array Testing

作者： FUGERER, RH LOWRY, HS HERVIG, DJ HOLT, LL MICRO CRAFT TECHNOL INC AEDC OPERATARNOLD AFBTN 37389

ISBN: (纸本)0819418277

The Arnold Engineering Development Center (AEDC) Scene Generation Test Capability (SGTC) program has completed the development of a laser based Direct Write Scene Generation (DWSG) facility that provides dynamic mission simulation testing for infrared (IR) Focal Plane Array (FPAs) and their associated signal processing electronics. The AEDC DWSG Focal Plane Array Test Capability includes lasers operating at 0.514, 1.06, 5.4, or 10.6 micrometers , and Acousto-Optic Deflectors (AODs) which modulate the laser beam position and amplitude. Complex Radio Frequency (RF) electronics control each AOD by providing multi-frequency inputs. These inputs produce a highly accurate and independent multi-beam deflection, or `rake', that is swept across the FPA sensor under test. Each RF amplitude input to an AOD translates into an accurate and independent beam intensity in the rake. Issues such as scene fidelity, sensor frame rates, scenario length, and real-time laser beam position adjustments require RF control electronics that employ the use of advanced analog and digital signal processing techniques and designs. By implementing flexible system architectures in the electronics, the overall capability of the DWSG to adapt to emerging test requirements is greatly enhanced. Presented in this paper is an overview of the signal processing methodology and designs required to handle the DWSG requirement. Further, electronic design techniques that enabled the system to be implemented within program cost constraints will also be presented. These electronic designs include a broad range of disciplines including digital signal processing hardware and software, programmable logic implementations, and advanced techniques for high fidelity RF synthesis, switching, and amplitude control. Techniques for validating electronic performance will also be presented along with data acquired using those techniques.

关键词： SCENE INFRARED FPA SENSOR ANALOG DIGITAL RF ACOUSTOOPTIC DEFLECTOR DIGITAL SYNTHESIZER FRAME

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Transient detection in the presence of strong narrow band interference via Wigner-Ville spectrum

Transient detection in the presence of strong narrow band in...

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advanced signal-processing algorithms, architectures, and implementations

作者： Marinovich, Nenad M. Roytman, Leonid M. City Univ of New York New York United States

关键词： signal processing

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Instantaneous frequency and kernel requirements for discrete time-frequency distributions

Instantaneous frequency and kernel requirements for discrete...

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advanced signal-processing algorithms, architectures, and implementations

作者： Jeong, Jechang Cunningham, Gregory S. Williams, William J. Univ of Michigan Ann Arbor United States

In this paper, we introduce a new definition for the instantaneous frequency of a discrete-time analytic signal. Unlike the existing definition which uses only two data samples around a particular time, this method utilizes all the data samples for estimating the instantaneous frequency. We prove that this quantity is identical to the average frequency evaluated at the particular time in the discrete-time TFD. This property is consistent with the analogous continuous-time property. We also derive requirements on the discrete-time kernel needed to satisfy this property. Using computer-generated signals and real data, performance comparisons are made between the proposed approach and the existing one.

关键词： signal processing

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