Showing papers in "Signal Processing in 2000"

TL;DR: A signal compression scheme using frames optimized with the technique method of optimal directions, called multi-frame compression (MFC), which uses several different frames, each optimized for a fixed number of selected frame vectors in each approximation.

TL;DR: An outlook on detector combinations based on neuronal networks concludes this paper, which presents an overview about several approaches for controlling the step size for adaptive echo cancellation filters in hands-free telephones.

TL;DR: It is demonstrated, by means of examples, that atype-2 FLS can outperform a type-1 FLS for one-step prediction of a Mackey}Glass chaotic time series whose measurements are corrupted by additive noise, and equalization of a nonlinear time-varying channel.

TL;DR: An overview of the applications of NNs to digital communications such as channel identification and equalization, coding and decoding, vector quantization, image processing, nonlinear filtering, spread spectrum applications, etc is given.

TL;DR: This paper discusses use of the more general coefficient of determination in nonlinear filtering, and addresses the VC dimension of increasing operators in terms of their morphological kernel/basis representations.

TL;DR: This work demonstrates that fuzzy c-means clustering is capable of robust recovery of the unknown constellation and proposes to use constellation shape as a robust signature for digital modulation recognition.

TL;DR: The conventional theoretical concept of local Contrast enhancement has been extended in the regime of mathematical morphology and the intensity values of the scale-specific features of the image extracted using multiscale tophat transformation are modified for achieving local contrast enhancement.

TL;DR: Experiments under adverse conditions and with real hardware demonstrate robust convergence with both models, and an echo reduction improvement by up to 10 dB at amplitude peaks.

TL;DR: The implications of using chaotic basis functions in digital communications and preliminary performance results are given, potential benefits are discussed, and possible application domains are identified.

TL;DR: An overview of recent bibliographic references dealing with speech processing in mobile terminals is given and a fairly large list of references taken from many conferences proceedings and journals are given and commented.

TL;DR: A multidimensional fuzzy histogram is constructed for each video frame based on a collection of appropriate features, extracted using video sequence analysis techniques, which is applied both for video summarization, in the context of a content- based sampling algorithm, and for content-based indexing and retrieval.

TL;DR: A least-squares method is developed and used to design the fractional order digital differentiator which is used to generate a random fractal process which is better than the process obtained by the conventional method.

TL;DR: A novel algorithm for blind source separation (BSS), based on the second joint characteristic function of the observations, which belongs to the family of “closed-form” BSS algorithms, in the sense that no iterations with the raw-data (nor its storage) are required.

TL;DR: It is shown that both control methods are described by the same quantity: the ratio of the short-term estimates of the power of the error to the “undisturbed” error signal.

TL;DR: The algorithm combines outputs of multiple detection and feature extraction algorithms to generate a single confidence that a landmine is present at a location using ground penetrating radar.

TL;DR: A Markov-like weighted least squares (WLS) estimator is presented herefor harmonic sinusoidal parameter estimation and involves two distinct steps whereby it first obtains a set of in WLS.

TL;DR: It is shown that OFDM systems are quite sensitive to carrier frequency offset and clock frequency offset : in the presence of these impairments, the signal-to-noise ratio (SNR) at the input of the decision device is a decreasing function of the number of carriers.

TL;DR: This paper presents the convergence analysis result of the discrete cosine transform-least-mean-square (DCT-LMS) adaptive filtering algorithm which is based on a well-known interpretation of the variable stepsize algorithm and shows that the shape of sidelobes affecting the decorrelation of the input signal is governed by the location of two zeros.

TL;DR: It is shown that a signal generated by the standard state-space stochastic model can be decomposed into innovations at the different sampling frequencies associated to different levels of resolution and that these innovations are all uncorrelated with each other.

TL;DR: An efficient method for designing variable one-dimensional (1-D) finite-impulse-response (FIR) digital filters with arbitrarily variable magnitude characteristics and specified linear or nonlinear phase responses.

TL;DR: The method presented here, is based on the multiscale filtering which iteratively decomposes a series into a trend and a hierarchy of details that are stationary and contain only short memory and overcomes the tricky problem of the fractional integration parameter estimation.

TL;DR: An original approach for automatic speaker identification especially applicable to environments which cause partial corruption of the frequency spectrum of the signal, and proposes a particularly redundant parallel architecture for which most of the correlations are kept.

TL;DR: An efficient method based on an iterative weighted genetic algorithm approach to obtain a least-squares approximation to the given log magnitude function and the weighting function at each iteration is updated using the result of the previous iteration, which leads to the optimal approximation in the log Chebyshev sense.

TL;DR: A technique to implement any frequency-warped filter without changing the coefficients or the structure of the filter is presented in this paper.

TL;DR: This paper proposes an alternative modelling to the standard acoustic–phonetic decoding currently used as front-end in the LID systems: each language vocalic system is modelled by a Gaussian mixture, estimated out from automatically detected vowels.

TL;DR: The paper tackles the problem of executing high-dimensional fuzzy inferences following zeroth- and first-order Takagi–Sugeno inference models with the proposed inference procedures exploiting an input–output relationship which is piecewise affine or quadratic.

TL;DR: One of the conclusions is that properly taking into account the spatio-temporal correlation of the interference leads to much improved performance (MFB) compared to purely spatial approaches, and that the excess bandwidth in GMSK provides some useful channel diversity.

TL;DR: A frequency-domain adaptive filter combined with a frequency-selective stepfactor control for acoustic echo cancellers is presented and may outrange stepfactor controls which work in the time domain.

TL;DR: The method of information distribution is introduced to process radar signals to estimate the probability distribution of the radar pulses from an enemy radar, and a small sample can act as a more large one so that it can obtain a more accurate result.

TL;DR: A class of real-valued orthonormal symmetric wavelet filters is constructed by using allpass filters, and a new method for designing the allpass-based wavelets filters with the given degrees of flatness is proposed, based on the formulation of a generalized eigenvalue problem by using the Remez exchange algorithm.