A novel type of feature extraction is introduced to be used as a front end for automatic speech recognition (ASR). Two-dimensional Gabor filter functions are applied to a spectro-temporal representation formed by columns of primary feature vectors. The filter shape is motivated by recent findings in neurophysiology and psychoacoustics which revealed sensitivity towards complex spectro-temporal ...

Oriented PCA (OPCA) extends standard Principal Component Analysis by maximizing the power ratio of a pair of signals rather than the power of a single signal. We show that OPCA in combination with almost arbitrary temporal filtering can be used for the blind separation of linear instantaneous mixtures. Although the method works for almost any filter, the design of the optimal temporal filter is...

Resumo— Este artigo apresenta a utilização do cubature Kalman filter para a estimação dos coeficientes de um canal MIMO duplamente seletivo e detecção de símbolos discretos de forma conjunta. Com base no modelamento da dinâmica temporal dos coeficientes do canal e dos símbolos transmitidos, um vetor de estados é definido contendo ambas informações levando a uma não-lineraridade na equação de ob...

This paper presents a study on statistical integration of temporal filter banks for robust speech recognition using linear discriminant analysis (LDA). The temporal properties of stationary features were first captured and represented using a bank of well-defined temporal filters. Then these derived temporal features can be integrated and compressed using the LDA technique. Experimental results...

In this paper we present the fuzzy directional adaptive recursive temporal filter for denoising of video sequences. The use of spatial-temporal information is considered more efficient in presence of fast motion and noise. We connect the differences between images, such as, the angle deviations to obtain several parameters to apply them in the proposed algorithm to detect and differentiate move...

The cellular neural network is a locally interconnected neural network capable of high-speed computation when implemented in analog VLSI. This work describes a CNN algorithm for estimating the optical flow from an image sequence. The algorithm is based on the spatio-temporal filtering approach to image motion analysis and is shown to estimate the optical flow more accurately than a comparable a...

In this paper we describe theoretically quantum control of temporal correlations of entangled photons produced by collinear type II spontaneous parametric down-conversion. We examine the effect of spectral phase modulation of the signal or idler photons arriving at a 50/50 beam splitter on the temporal shape of the entangled-photon wave packet . The coincidence count rate is calculated analytic...

In video transmission at low bit rates the challenge is to compress the video with a minimal reduction of the percieved quality. The compression can be adapted to knowledge of which regions in the video sequence are of most interest to the viewer. Region of interest (ROI) video coding uses this information to control the allocation of bits to the background and the ROI. The aim is to increase t...

Mechanical vibrations are often the principal cause of image degradation. Low temporal-frequency mechanical vibrations involve random image degradation that depends on the instant of exposure. Exact restoration requires the calculation of a specific filter unique to each vibrated image. To calculate the restoration filter for each image, one needs the specific optical transfer function unique t...