The authors derive the discrete-time uncertainty and evaluate the time-frequency localizations of orthogonal bases. They measure and compare the localization features of known block transforms, filter banks, and wavel...
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The authors derive the discrete-time uncertainty and evaluate the time-frequency localizations of orthogonal bases. They measure and compare the localization features of known block transforms, filter banks, and wavelet filters. It is emphasized that the time and frequency behaviors of basis functions should be considered simultaneously in the design of block transforms and filter banks for further improvements in their applications.< >
A framework for estimating the relative execution time of a data-parallel algorithm in an environment capable of the SIMD and SPMD (Single Program - Multiple Data) modes of computation is presented. Given a data-paral...
This report presents a simple and direct method of solving the registration problem associated with multiple radar tracking. The registration proceedure is split into two distinct parts that are independent from one a...
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This report presents a simple and direct method of solving the registration problem associated with multiple radar tracking. The registration proceedure is split into two distinct parts that are independent from one another. The first part is a deterministic tranformation from the measurement domain to the measurement error or bias variable domain, and the second part is a filtering to track the actual value of the bias variables. Only the transformation part will be covered.
An approach for rejecting broadband interference from an unknown direction when received by an array of two sensors is presented. Two configurations of such an approach, termed bootstrapped-based algorithms, are prese...
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An approach for rejecting broadband interference from an unknown direction when received by an array of two sensors is presented. Two configurations of such an approach, termed bootstrapped-based algorithms, are presented. Both configurations perform perfect interference cancellation when the input signal-to-noise ratio is large enough, and do it much faster than the common LMS (least mean square) interference canceler. However, additive noise causes performance degradation to both. It is shown that no general claim can be made about the superiority of one of the configurations with respect to the other. The output signal-to-interference-plus-noise ratio depends on the spatial separation between the interference and the desired signal, as well as on the interference-to-noise ratio, in a different manner for both configurations. The authors provide guidelines for the choice of one or the other configuration in different scenarios.< >
An approach and a solution to the continuous leak monitoring problem in underground gas pipelines are presented. This approach places permanent monitoring units along the pipeline. These units detect acoustic signals ...
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An approach and a solution to the continuous leak monitoring problem in underground gas pipelines are presented. This approach places permanent monitoring units along the pipeline. These units detect acoustic signals in the pipeline and discriminate leak sounds from other man-made or natural nonleak sounds that can occur. The system uses the kNN classifier as the detector with LPC (linear predictive coding) cepstrums as signal features. To increase system performance, pipeline effects on acoustic signals were taken into account during the classifier training phase. Each unit can detect 1/4-in-diameter leaks from a distance of 300 m, yielding 600 m as the maximum distance between units.< >
The finite word-length effects of the class of order-recursive least-squares algorithms are studied. The order-recursive algorithms can be modeled as arrays of interconnected cells or building blocks, which makes it p...
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The finite word-length effects of the class of order-recursive least-squares algorithms are studied. The order-recursive algorithms can be modeled as arrays of interconnected cells or building blocks, which makes it possible to evaluate their numerical accuracy by studying the cell and then the combined roundoff noise effects in the array. The roundoff error of the local variable in each cell is given by a state-space model. The states of this error model are decoupled from each other: the roundoff error of a lower order residual (input) does not contribute significantly to the local state error, but only propagates through each building block to the higher order residual (output). This analysis is confirmed by numerical simulation.< >
It is well-known that the stability of linear periodic (LP) systems can be assessed using Floquet Characteristic Exponents (FCE). In this paper, a new method is presented for evaluating FCE for nth-order scalar period...
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It is well-known that the stability of linear periodic (LP) systems can be assessed using Floquet Characteristic Exponents (FCE). In this paper, a new method is presented for evaluating FCE for nth-order scalar periodic linear systems based on a recently developed unified eigenvalue theory for linear time-varying (LTV) Systems [1]. The new theory allows FCEs to be evaluated from the DC term of the Fourier series of periodic PD-eigen-values of a LP system. Comparing to the well-known Monodromy Matrix (MM) method and Infinite Dimensional Determinant (IDD) method for evaluating FCE 1 the solutions obtained by the new method have rapid local convergence. This new method also allow stability boundaries in the parameter space of a LP system to be evaluated and plotted directly. The new results shed some light OL the general stability assessment problem for vector periodic linear systems and aperiodic LTV systems. Further studies along this direction are also discussed in this paper.
A novel approach to solving the problem of signal separation under model uncertainties and unknown source signal characteristics is proposed. The approach features the incorporation of blind identification with cluste...
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A novel approach to solving the problem of signal separation under model uncertainties and unknown source signal characteristics is proposed. The approach features the incorporation of blind identification with clustering techniques. The approach is capable of estimating source locations and source signals under various uncertain conditions including unknown sensor gains, unknown combinations of near-field and far-field sources, unknown combinations of wideband and narrowband sources, unknown source spectral characteristics (their spectra may be overlapping or non-overlapping), and unknown number of signals.< >
Studies, via simulation, the performance of different bus allocation policies for a generic shared-medium ATM switch with input and output queueing. The policies differ in the amount of information used by the bus arb...
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Studies, via simulation, the performance of different bus allocation policies for a generic shared-medium ATM switch with input and output queueing. The policies differ in the amount of information used by the bus arbitrator to decide which input queue to serve next. Classical polling systems (e.g. Round-Robin) consider only the state of the input queues. This may waste bus bandwidth on cells that are destined to output queues which are full. The present authors consider a range of bus service policies that are based on the state of the input queues, or the state of both the input and the output queues. The performance of the switch is analyzed under realistic system characteristics such as bursty traffic, limited buffer size, asymmetric load conditions, and nonuniform destinations. Input traffic is modelled by an interrupted Bernoulli process (IBP). Furthermore, it is assumed that the destinations of the arriving cells within the same burst are correlated. Two types of destination correlations are introduced and their effect on the performance of the switch is analyzed. The performance measures considered are: cell loss probability, and mean cell delay.< >
We report an investigation of the morphology of p‐type GaAs(001) surfaces using scanning tunneling microscopy (STM). The substrates were prepared using two methods: migration enhanced epitaxy (MEE) and standard molec...
We report an investigation of the morphology of p‐type GaAs(001) surfaces using scanning tunneling microscopy (STM). The substrates were prepared using two methods: migration enhanced epitaxy (MEE) and standard molecular‐beam epitaxy (MBE). The STM measurements were performed ex situ using As decapping. Analysis indicates that the overall step density of the MEE samples decreases as the growth temperature is increased. Nominally flat samples grown at 300 °C exhibited step densities of 10.5 steps/1000 Å along [110] dropping to 2.5 steps at 580 °C. MEE samples exhibited a lower step density than MBE samples. However as‐grown surfaces exhibited a larger distribution of step heights. Annealing the samples reduced the step height distribution exposing fewer atomic layers. Samples grown by MEE at 580 °C and annealed for 2 min displayed the lowest step density and the narrowest step height distribution. All samples displayed an anisotropic step density. We found a ratio of A‐type to B‐type steps of between 2 and 3 which directly reflects the difference in the incorporation energy at steps. The aspect ratio increased slightly with growth temperature. We found a similar aspect ratio on samples grown by MBE. This indicates that anisotropic growth during MEE, like MBE, is dominated by incorporation kinetics. MEE samples grown at 580 °C and capped immediately following growth exhibited a number of ‘‘holes’’ in the surface. The holes could be eliminated by annealing the surface prior to quenching.
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