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We develop a new kind of "space-filling" curves, <i>connected Fermat spirals</i>, and show their compelling properties as a tool path fill pattern for layered fabrication. Unlike classical space-filling curves such as the Peano or Hilbert curves, which constantly wind and bind to preserve locality, connected Fermat spirals are formed mostly by <i>long,(More)
The dynamic time warping (DTW) is a classic similarity measure which can handle the time warping issue in similarity computation of time series. And the DTW with constrained warping window is the most common and practical form of DTW. In this paper, the traditional learning method for optimal warping window of DTW is systematically analyzed. Then the time(More)
The convergence rate of an adaptive blind source separation (BSS) algorithm influences its feasibility to practical applications, especially, in a time-varying environment. In this paper, we consider the problem of deconvoluting blindly a number of sources that are transmitted through a linear convolutive mixing system. Assuming the source signals to be(More)
We consider the source number estimation problem in the presence of unknown spatially nonuniform noise and underdetermined mixtures. We develop a new attractive source number estimator by replacing the covariance with the Fourth-Order (FO) cumulant of the observations. Furthermore, a Modified Minimum Description Length (MMDL) principle is proposed to reduce(More)
In this paper, we propose an approach exploiting the relationship between the position of the clustering centers of the observed data and the mixing parameters to realize blind separation of multiple sequences, drawn from finite alphabet set, from a single linear mixture. In theory, we prove that the system estimation by the algorithm is optimum in the(More)
Carrier frequency offset (CFO) can cause significant performance degradation in orthogonal frequency division multiplexing (OFDM) systems. But IQ imbalance has a critical effect on the performance of conventional CFO estimation algorithms in OFDM direct conversion receivers. In this paper, a new estimation algorithm based ESPRIT is proposed to solve the(More)
Multichannel blind deconvolution (MBD) techniques allow recovery of individual source signals from observed mixtures, exploiting only the assumption of mutual independence of sources. Generally, complex signals are recovered with an arbitrary phase rotation. In this paper, we propose two constrained MBD algorithms to separate complex sources and remove the(More)