Showing papers in "Signal Processing in 1985"

TL;DR: In this paper, the theoretical limits of noise suppression for the estimation of short-time magnitude spectra are investigated from a general point of view, especially the issue of noisy phase.

TL;DR: The algorithm described here provides an efficient code for the boundary of each region by taking advantage of certain first-order constraints related to the segmentation algorithm, the result being an asymptotic decrease in the number of bits per contour point.

TL;DR: A method is provided for rapidly producing a treated waste mixture separable into a disposable mass of solids and a hygenic effluent of relatively low coliform count.

TL;DR: A new image coding technique is presented as derived from an image decomposition into a low frequency component and many high frequency directional components that led to acceptable results with compression ratios higher than 30 to 1.

TL;DR: One task of a radio monitoring device detecting signals transmitted by short wave radio stations could well be the automatic determination of the transmitters modulation mode.

TL;DR: In this article, a detection procedure of such a segmentation based on the pseudo-Wigner estimates is presented, which is known to be uncorrelated estimates of the Wigner-Ville spectrum for neighboured, appropriately spaced frequencies.

TL;DR: An advanced methodology of EEG parameter extraction is presented, used during riskful surgical interventions i.e. intracranial aneurysm clipping in controlled hypotension through continuous infusion of sodium nitroprusside, SNP.

TL;DR: An algorithm is described in this paper which finds the optimal polygonal approximation of a digital curve i.e. an approximation with the minimum possible number of line segments.

TL;DR: The Wigner-Ville joint representation (WVJR) as mentioned in this paper is a good candidate among the various time and frequency JR. This JR performs exact demodulation of finite energy signals even in presence of linear filtering.

TL;DR: The paper derives expressions for the estimation error, specifically bias and mean square error (MSE) by starting with the cross correlation method and then extending the results to the GCC method, and derives a simplified expression for the MSE.

TL;DR: The crucial problem of estimating changing variance of the model was solved by the techniques of piecewise modeling and local modeling and the extraction of micro earthquake signal was shown to exemplify the proposed procedures.

TL;DR: In this paper, a statistical approach of automatic segmentation of the speech signal is discussed, where the main idea is to model the signal by a statistical model (AR, ARMA) and to use test statistics (generalized likelihood, statistics of cumulative sum type) to detect sequential abrupt changes in the parameters of the model.

TL;DR: It has been proved that the slant transform is superior to Walsh-Hadamard transform in this relative performance measure for positive correlation under the assumed Markov process model.

TL;DR: In this article, the Minkowski's functionals are estimated with a good precision for the class of grey-tone functions, and the results are satisfying as soon as the square digital set contains neither grain nor pore reduced to one isolated point.

TL;DR: In this paper, a quantitative measure of the image quality through evaluation of the coefficient of information content and the entropy has been suggested to evaluate the effect of enhancement, where the image has been assumed to be a sample function of a homogeneous random field and the pixel values are estimated from the past pixel values.

TL;DR: A new coding concept called Regular-Pulse Excitation (RPE) coding was developed and it is demonstrated that this technique produces speech with a quality comparable to existing methods such as the MPE coder, but with a much lower complexity.

TL;DR: A new m -d ( m = 3, 4) parametric spectrum estimation approach is introduced based on the minimum variance representations of m-d data fields, which achieve the minimum covariance recursion error of a given finite length m - d data field.

TL;DR: In this paper, the authors proposed an algorithm to iteratively design the magnitude of the linear phase part and the squared magnitude of nonlinear phase part by directly calling the Remez algorithm of McClellan, et al.

TL;DR: In this article, the concepts of correlation function and energy spectrum are extended to functions on a set M under a compact transformation group G with respect to G -invariant integrals on M and G.

TL;DR: In this article, a simple and general method is presented for determining the coefficients of a lowpass or high-pass maximally flat non-recursive digital filter with a specified cutoff frequency.

TL;DR: In this article, a digital nonrecursive equalization network is described, which can be used to compensate the non-ideal characteristics of the analog pre-filters, and it can be applied to multipath echo cancellation, as well.

TL;DR: In this article, the performance of the maximum likelihood spectral estimate is compared vis-a-vis the classical Bartlett spectrum, and the dependence of the reliability of the estimate upon the data size and the tone frequency location is illustrated.

TL;DR: The concept of “equivalent object” which enables to decompose the concavities for faster measurements is introduced and some experimental results obtained on the GTTSI vision system are provided.

TL;DR: In this paper, an explicit formula for computing the asymptotic Cramer-Rao lower bound for the signal and noise parameters of an autoregressive signal corrupted by white noise is derived.

TL;DR: Bit reversal permutations have turned out to be very useful in implementing an optimized mass storage FFT algorithm and in a number of other interesting applications, for example, successive bit reversals allow efficient generalized sorting of the dimensions of a multidimensional array in mass storage.

TL;DR: The structure of some compact contour chain codes for digital convex patterns are proposed and their structure is described and the question of the coding efficiency is discussed.

TL;DR: In this paper, the authors present a new method based upon signal processing, which tends to overcome the presence of noise troubles the measurements of signal frequency, in which the signal to noise ratio is not high enough to neglect the effects of noise on the frequency determination.

TL;DR: It is shown that the lower bound of the Heisenberg uncertainty principle is approached, as closely as desired, when the Fourier transform of a bandlimited function is a parabolic cylinder function.