Many problems correspond to the classical control task of determining the appropriate control action to take, given some (sequence of) observations. One standard approach to learning these control rules, called behavior cloning, involves watching a perfect operator operate a plant, and then trying to emulate its behavior. In the experimental learning approach, by contrast, the learner rst guess...

High frame-rate images typically possess a high temporal correlation between their motion vectors. By use of this characteristic, high accuracy motion estimation techniques for high frame-rate images were proposed in our previous work. Compared with conventional methods, our proposed methods are relatively resistant to spatial aliasing errors. However these methods are still inadequate for resi...

Several lines of evidence are provided indicating that our visual percept can be dominated by spatial aliasing for viewing conditions near those needed to see the spatial frequency doubled illusion. The apparent aliasing effect indicates that the underlying sampling array has a density 15-30% of that of M-cells, in agreement with the known proportion of Y-like M-cells (M(y)-cells). The presence...

In this paper, we propose a novel method for blind source separation (BSS) based on time-frequency sparseness (TF) that can estimate the number of sources and time-frequency masks, even if the spatial aliasing problem exists. Many previous approaches, such as degenerate unmixing estimation technique (DUET) or observation vector clustering (OVC), are limited to microphone arrays of small spatial...

This work investigates the information loss in a decimation system, i.e., in a downsampler preceded by an antialiasing filter. It is shown that, without a specific signal model in mind, the anti-aliasing filter cannot reduce information loss, while, e.g., for a simple signal-plus-noise model it can. For the Gaussian case, the optimal anti-aliasing filter is shown to coincide with the one obtain...

Bin-wise time delay is a valuable clue to form the timefrequency (TF) mask for speech source separation on the twomicrophone array. On widely spaces microphones, however, the time delay estimation suffers from spatial aliasing. Although histogram is a simple and effective method to tackle the problem of spatial aliasing, it can not be directly applied on planar arrays. This paper proposes a his...

Spatial aliasing in multichannel seismic data can be overcome by solving an inversion in which the model is the section that would be recorded in a well sampled zero-offset experiment, and the data are seismic data after normal moveout (NMO). The formulation of the (linear) relation between the data and the model is based on the wave equation and on Fourier analysis of aliasing. A processing se...

Introduction: Variable density spiral (VDS) imaging typically samples low spatial frequencies densely and high spatial frequencies sparsely [1]. Reconstructed images are prone to aliasing artifacts, but they are considered to be acceptable in certain cases where aliasing of high spatial frequencies do not significantly deteriorate image quality. VDS imaging is particularly useful for dynamic MR...