We develop a belief space planning (BSP) approach that advances the state of the art by incorporating reasoning about data association (DA) within planning, while considering additional sources of uncertainty. Existing BSP approaches typically assume data association is given and perfect, an assumption that can be harder to justify while operating, in presence of localization uncertainty, in am...

this paper  considersthe problem of  aliasing in information processing. the cubic spline method of interpolating the uniformly sampled signals and its effects on the autocorrelation estimation as well as the resulting spectral density function are studied by simulating random signals with known autocorrelation functions. hence, by comparison of aliased and alias-free cases, indications are ded...

The assumed scenario is transcription of a face-to-face conversation, such as in the financial industry when an agent and a customer talk over a desk with microphones placed between the speakers and then it is transcribed. From the automatic speech recognition (ASR) perspective, one of the speakers is the target speaker, and the other speaker is a directional noise source. When the number of mi...

in the current seismic data acquisition techniques, sources are fired with large time intervals in order to avoid interferences between the responses of successively firing sources, measured by the receivers. this leads to a time-consuming and expensive survey. theoretically the waiting time between two successively firing sources has to be infinite, since the wavefield never vanishes completel...

For moderate and high speed values of the sea surface current, an aliasing phenomenon, due to an under-sampling in the time-domain, can strongly affect the reconstruction of the sea surface elevation derived from X-band radar images. Here, we propose a de-aliasing strategy that exploits the physical information provided by the dispersion law for gravity waves. In particular, we utilize simplify...

To improve the impaired azimuth resolution of the novel Terrain Observation by Progressive Scans (TOPS) mode, a new multichannel single phase center multiple beam (SPCMB) TOPS mode is proposed in this paper for high-resolution wide-swath (HRWS) imaging. However, the progressive azimuth beam scanning leads to the Doppler spectrum aliasing and both beam center time and Doppler centroid varying wi...

We present a novel reconstruction method that can synthesize an all in-focus view from under-sampled light fields, significantly suppressing aliasing artifacts. The presented method consists of two steps; 1) rendering multiple views at a given view point by performing light field rendering with different focal plane depths; 2) iteratively reconstructing the all in-focus view by fusing the multi...

High-frequency illumination effects, such as highly glossy highlights on curved surfaces, are challenging to render in a stable manner. Such features can be much smaller than the area of a pixel and carry a high amount of energy due to high reflectance. These highlights are challenging to render in both offline rendering, where they require many samples and an outliers filter, and in real-time ...

In this paper, the natures of random and pseudo-random input sequences and their influence on permanent and intermittent fault detecting are analyzed. The aliasing fault coverage between the pseudo-random and random sequences is estimated. The activity probability features of the intermittent faults are considered. The selftest circuits of the intermittent faults are illustrated. The experiment...

Perceptual aliasing arises in situations where multiple, distinct states of the world give rise to the same percept. In this study, we examine how the degree of perceptual aliasing in a task impacts the ability of human agents to learn reward-maximizing decision strategies. Previous work has shown that the presence of perceptual cues that help signal distinct states of the environment can impro...