BACKGROUND It is known that the visibility of patterns presented through stationary multiple slits is significantly improved by pattern movements. This study investigated whether this spatiotemporal pattern interpolation is supported by motion mechanisms, as opposed to the general belief that the human visual cortex initially analyses spatial patterns independent of their movements. RESULTS P...

This paper presents two techniques for variable rate speech coding using wavelet representations. In the rst method, the Daubechies wavelet is used to produce a wavelet representation of the speech signal. This representation is encoded using some of the properties of the speech signal to allocate bits to the various subbands. A technique to lower the bit rate using vector quantisation is discu...

We implement a second-order exponential integrator for semidiscretized advectiondiffusion-reaction equations, obtained by coupling exponential-like Euler and Midpoint integrators, and computing the relevant matrix exponentials by polynomial interpolation at Leja points. Numerical tests on 2D models discretized in space by Finite Differences or Finite Elements, show that the Leja-Euler-Midpoint ...

In this paper, quadratic and sextic B-splines are used to construct an approximating function based on the integral values instead of the function values at the knots. This process due to the type of used B-splines (fourth order or sixth order), called integro quadratic or sextic spline interpolation. After introducing the integro quartic and sextic B-spline interpolation, their convergence is ...

Automatic digital inpainting is a challenge but interesting research area. This demonstration presents a tool, which uses a color interpolation mechanism to restore damaged images. The mechanism checks the variation of pixel blocks and restores pixels using different strategies. We test more than 1000 images, including photos, paintings, and cartoon drawings. The proposed system is also availab...

Temporal interpolation is the task of bridging gaps between time-oriented data or abstracted concepts in a context-sensitive manner. It is one of the subtasks important for solving the temporal-abstraction taskÑ abstraction of interval-based, higher-level concepts from time-stamped data. We present a knowledge-based approach to the temporal-interpolation task and discuss in detail the precise k...

Hidden Markov Model is a popular statisical method that is used in continious and discrete speech recognition. The probability density function of observation vectors in each state is estimated with discrete density or continious density modeling. The performance (in correct word recognition rate) of continious density is higher than discrete density HMM, but its computation complexity is very ...