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Expectation-Maximization and Successive Interference Cancellation Algorithms For Separable SignalsIltis, Ronald A., Kim, Sunwoo 10 1900 (has links)
International Telemetering Conference Proceedings / October 22-25, 2001 / Riviera Hotel and Convention Center, Las Vegas, Nevada / The expectation-maximization (EM) algorithm is well established as a computationally efficient
method for separable signal parameter estimation. Here, a new geometric derivation and
interpretation of the EM algorithm is given that facilitates the understanding of its convergence
properties. Geometric considerations then lead to an alternative separable signal parameter estimator
based on successive cancellation. The new Generalized Successive Interference Cancellation
(GSIC) algorithm may offer better performance than EM in the presence of large signal power
disparities. Finally, application of the GSIC algorithm to CDMA-based radiolocation is discussed,
and simulation results are presented.
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Bounded operators without invariant subspaces on certain Banach spacesJiang, Jiaosheng. January 2001 (has links)
Thesis (Ph. D.)--University of Texas at Austin, 2001. / Vita. Includes bibliographical references. Available also from UMI/Dissertation Abstracts International.
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Bounded operators without invariant subspaces on certain Banach spacesJiang, Jiaosheng 21 March 2011 (has links)
Not available / text
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Shooter Localization in a Wireless Sensor Network / Lokalisering av skytt i ett trådlöst sensornätverkWilsson, Olof January 2009 (has links)
<p>Shooter localization systems are used to detect and locate the origin of gunfire. A wireless sensor network is one possible implementation of such a system. A wireless sensor network is sensitive to synchronization errors. Localization techniques that rely on the timing will give less accurate or even useless results if the synchronization errors are too large.</p><p>This thesis focuses on the influence of synchronization errors on the abilityto localize a shooter using a wireless sensor network. A localization algorithm</p><p>is developed and implemented and the effect of synchronization errors is studied. The localization algorithm is evaluated using numerical experiments, simulations, and data from real gunshots collected at field trials.</p><p>The results indicate that the developed localization algorithm is able to localizea shooter with quite good accuracy. However, the localization performance is to a high degree influenced by the geographical configuration of the network as well as the synchronization error.</p> / <p><p>Skottlokaliseringssystem används för att upptäcka och lokalisera ursprunget för avlossade skott. Ett trådlöst sensornätverk är ett sätt att utforma ett sådant system.Trådlösa sensornätverk är känsliga för synkroniseringsfel. Lokaliseringsmetoder som bygger på tidsobservationer kommer med för stora synkroniseringsfel ge dåliga eller helt felaktiga resultat.</p><p>Detta examensarbete fokuserar på vilken inverkan synkroniseringsfel har på möjligheterna att lokalisera en skytt i ett trådlöst sensornätverk. En lokaliseringsalgoritm utvecklas och förmågan att korrekt lokalisera en skytt vid olika synkroniseringsfel undersöks. Lokaliseringsalgoritmen prövas med numeriska experiment, simuleringar och även för data från riktiga skottljud, insamlade vid fältförsök.</p><p>Resultaten visar att lokaliseringsalgoritmen fungerar tillfredställande, men att lokaliseringsförmågan till stor del påverkas av synkroniseringsfel men även av sensornätverkets geografiska utseende.</p></p>
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Towards and Autonomous Mobile Control Unit of Smart HomesWang, Haidong 27 June 2013 (has links)
Since smart homes will be more and more popular in the future, the needs of finding
a friendly, comfortable and smart interface between users and home environments are
growing. However, conventional interfaces have reached their limits. So, this paper
describes a new concept of interface in a home environment. This work is distinguished
by building a separable smart robot. A smart phone is used as a brain, and a robot car
is used as a body. With the system, people will be allowed to carry the robot's brain
when they are out of their home. In this case, the brain can not only be a normal smart
phone, but also can monitor parameters such as the temperature at home. On the other
hand, when people are at home, they will be allowed to put their phones on the robot
car. By invoking the system, they will have an assist-robot. This assist-robot will act
as a new interface in the smart home by following people and recognizing their voice
commands in order to take notes, to read notes and to control smart home devices. This
thesis also implements face recognition to improve the communication between users and
the interface. Test results show that our proposed system is well accepted.
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Asymptotic distributions of the correlator and maximum likelihood estimators of nonlinear signal parametersSaarnisaari, H. (Harri) 09 June 2000 (has links)
Abstract
In time delay estimation the correlator or, equivalently,
matched filter estimator is widely used. Examples of its usage can
be found in the global positioning system (GPS), radars and code
division multiple access (CDMA) communication systems. Although
widely used its performance is not studied in general case until
recently. Partially this study is done in this thesis. If interfering
signals like multipath or multiple access signals exist in addition
to additive white Gaussian noise, as in GPS and CDMA, the correlator
is not a maximum likelihood (ML) estimator. However, it is known
that the correlator produces consistent estimates in the existence
of multipath interference if the delay separation is larger than
the correlation time of the signal (in direct sequence spread spectrum applications
such as GPS and CDMA, the correlation time approximately equals
the chip duration of the spreading code). It also performs well
in the existence of multiple access interference (MAI), if the powers
of the MAI signals are equal to the power of the desired signal.
In this thesis the asymptotic distribution of the correlator
estimator is derived in multisignal environments. Using the result,
it can be analytically shown, that in these benign interference
cases the exact ML estimator and the correlator estimators perform
equally well in the sense that their asymptotic covariance matrices
are equal. The thesis also verifies the well known result that if
the signals are orthogonal, then the correlator and ML estimators
perform equally. In addition, the correlator's asymptotic
performance is investigated also in the inconsistent case by slightly
extending the earlier results found in the literature. Also the
resolution of the correlator estimator is investigated. It is numerically
shown that the correlator estimator can produce consistent estimators
even if the delay separation is less that the chip duration, which
is commonly believed to be the resolution limit of the correlator.
This can happen in fading channels where the multipath amplitudes
are uncorrelated or just slightly correlated. This result seems
to be fairly unknown.
In addition to the classical ML estimator, where all the unknowns
are assumed to be deterministic, also an improved ML estimator is
investigated. This other ML estimator is obtained by assuming that the
amplitudes are Gaussian distributed. It is an improved estimator
in the sense that its asymptotic covariance, say CML,
is less positive definite than that of the classical ML estimator
CCML, i.e., CCML-CML is
positive semidefinite. More importantly, this result is valid independent
of the fact are the amplitudes really deterministic or Gaussian.
This well known result is shown in this thesis to be valid also
if the signals contain more than one unknown parameter, which occurs,
for example, in direction-of-arrival estimation when two angles
per arrival are to be estimated.
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Towards and Autonomous Mobile Control Unit of Smart HomesWang, Haidong January 2013 (has links)
Since smart homes will be more and more popular in the future, the needs of finding
a friendly, comfortable and smart interface between users and home environments are
growing. However, conventional interfaces have reached their limits. So, this paper
describes a new concept of interface in a home environment. This work is distinguished
by building a separable smart robot. A smart phone is used as a brain, and a robot car
is used as a body. With the system, people will be allowed to carry the robot's brain
when they are out of their home. In this case, the brain can not only be a normal smart
phone, but also can monitor parameters such as the temperature at home. On the other
hand, when people are at home, they will be allowed to put their phones on the robot
car. By invoking the system, they will have an assist-robot. This assist-robot will act
as a new interface in the smart home by following people and recognizing their voice
commands in order to take notes, to read notes and to control smart home devices. This
thesis also implements face recognition to improve the communication between users and
the interface. Test results show that our proposed system is well accepted.
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Multivariate Regression using Neural Networks and Sums of Separable FunctionsHerath, Herath Mudiyanselage Indupama Umayangi 23 May 2022 (has links)
No description available.
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Coulomb Effect on the Proton-Proton Low Energy Scattering Parameters and Separable PotentialsVo-Dai, Thien 09 1900 (has links)
<p> We study the Coulomb effect on the proton-proton low-energy scattering parameters when all other effects are represented by a separable potential.</p> <p> For this purpose, we present a formulation for the scattering of two particles via a separable potential. We treat the same problem when any potential, particularly a Coulomb potential or a separable potential, is added to the separable potential. The properties of scattering from a separable potential plus a (local or non-local) potential lead us to the possibility of obtaining a one term separable potential equivalent to a two term separable potential, and a model for the nuclear potential as a sum of a separable potential and a non-separable potential.</p> <p> We determine, to the first order in Me^2/β where β^-1 is the range of the separable potential, the parameters for Yamaguchi's and Naqvi's separable potentials from proton-proton scattering data. We use these parameters to calculate the low-energy proton-proton scattering parameters when the Coulomb interaction is removed. Our results show that the shape dependence of these parameters are somewhat larger than obtained by Heller et al in their investigation on local potentials. Implications of our results concerning the charge symmetry and charge independence of the nuclear forces are discussed.</p> / Thesis / Master of Science (MSc)
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Reliability Assessment Using Bootstrapping and Identification of Point of Diminishing ReturnsUgwumba, Miracle C. January 2016 (has links)
No description available.
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