Showing papers in "Signal Processing in 2003"

TL;DR: There are a multitude of applications where novelty detection is extremely important including signal processing, computer vision, pattern recognition, data mining, and robotics.

TL;DR: This paper focuses on neural network-based approaches for novelty detection, and statistical approaches are covered in Part 1 paper.

TL;DR: Normalisation and validity aggregation strategies are proposed to improve the prediction about the number of relevant clusters and indicate that this systematic evaluation approach may significantly support genome expression analyses for knowledge discovery applications.

TL;DR: This paper demonstrates how introducing an edge detector based on noninteger (fractional) differentiation can improve the criterion of thin detection, or detection selectivity in the case of parabolic luminance transitions, and the criterionof immunity to noise, which can be interpreted in term of robustness to noise in general.

TL;DR: This paper discusses the application of computers for the analysis of data and images generated from security equipment and some of these technologies are reviewed.

TL;DR: A new infinite impulse response (IIR)-type digital fractional order differentiator (DFOD) is proposed by using a new family of first-order digital differentiators expressed in the second-order IIR filter form.

TL;DR: Based on the ability to define systems using continuous order-distributions, it is shown that frequency domain system identification can be performed.

TL;DR: A statistical approach based on a hidden Markov model (HMM) is used, which takes into account several features of the band-limited speech, and enhanced speech exhibits a significantly improved quality without objectionable artifacts.

TL;DR: A new deconvolution approach is proposed, which uses both the wavelet transform and the curvelet transform in order to benefit from the advantages of each.

TL;DR: It is shown that if the maximum magnitude of the derivative of x(t) is smaller than twice the carrier frequency, then a PWM signal consists of a baseband signal y(T) together with y( t) phase-modulated onto each carrier harmonic.

TL;DR: The key idea is to apply the propagator method which only requires linear operations but does not involve any eigendecomposition or singular value decomposition as in common subspace techniques such as MUSIC and ESPRIT.

TL;DR: Three tracking algorithms are proposed and compared to the theoretical bound of the performance error, and the interactive multiple model (IMM) algorithm with extended Kalman filters and the multi-mode particle filter are proposed.

TL;DR: This paper proposes a hybrid watermarking method joining a robust and a fragile or semi-fragile watermark, and thus combining copyright protection and tamper proofing, and demonstrates the superior performance of the proposed approach.

TL;DR: An overview of the fundamentals of biometric identification, together with a description of the main biometric technologies currently in use, all of them within a common reference framework are provided.

TL;DR: A physical quantity derived from the transition coefficients between difference image histograms of an image and its processed version produced by setting all bits in the LSB plane to zero appears to be a good measure of the weak correlation between successive bit planes and can be used to discriminate stego-images from cover images.

TL;DR: By considering the amount of information the attacker has about the watermarking algorithm, the notion of fair and un-fair attacks is introduced, so to ease the classification of different systems and attacks.

TL;DR: The paper reports the existence of large scale and global trends of DNA genomic signals in both eukaryotes and prokaryotes, reflecting an almost constant second order nucleotide statistics along DNA strands even at the points where the first orderucleotide statistics show marked changes, as it is the case in proKaryotes.

TL;DR: An original method for modelling and simulation of fractional systems by a state-space representation, where conventional integration is replaced by fractional one with the help of non-integer integrator.

TL;DR: A new and computationally efficient forward-backward algorithm is proposed for HSMM with missing observations and multiple observation sequences, and the required computational amount for the forward and backward variables is reduced to O(D), where D is the maximum allowed duration in a state.

TL;DR: Simulation results show that the proposed VSS-NLMS algorithm outperforms the traditional NLMS algorithm both in terms of convergence speed and steady-state error.

TL;DR: A new signal-adaptive joint time-frequency distribution for the analysis of nonstationary signals is proposed, based on a fractional-Fourier-domain realization of the weighted Wigner distribution producing auto-terms close to the ones in the WignER distribution itself, but with reduced cross-terms.

TL;DR: It will be shown by simulations that among the considered non-iterative design procedures the TLS eigenfilter technique has the best performance, i.e. best resembling the performance of the non-linear design procedure but having a significantly lower computational complexity.

TL;DR: This work considers the problem of constructing gene regulatory networks from expression data using the probabilistic-Boolean-network paradigm and proposes to construct the networks according to the following stages.

TL;DR: The two optimisation methods tested: the A* algorithm and the Fast-Marching technique are described and the efficiency of the two approaches is illustrated and compared through a vehicle path planning application in a fixed obstacle environment.

TL;DR: A novel watermarking scheme to ensure the authenticity of digital images using characteristics of the human visual system to maximize the embedding weights while keeping good perceptual transparency and an image-dependent method to evaluate the optimal quantization step allowing the tamper proofing of the image.

TL;DR: Extensions of the Wigner distribution concept to multidimensional vector signals, nonstationary random processes, linear time-varying systems (deterministic and random), linear signal spaces, and frames are described.

TL;DR: It is shown from simulation results that the SOS algorithm exhibits as good an estimation performance as the maximum likelihoood method for coherently distributed sources.

TL;DR: This work presents much briefer and more direct and transparent derivations of some sampling and series expansion relations for fractional Fourier and other transforms.

TL;DR: It is shown that the detection performance of the SR detector is better than that of the matched filter for a large class of noise distributions belonging to the generalized Gaussian and the mixture-of-Gaussian families.