Showing papers in "Signal Processing in 2012"

TL;DR: Simulation results show that the proposed algorithm can encrypt colour image effectively and resist various typical attacks.

TL;DR: A novel chaos-based image encryption algorithm to encrypt color images by using a Coupled Two-dimensional Piecewise Nonlinear Chaotic Map, called CTPNCM, and a masking process that yields better security performance in comparison to the results obtained from other algorithms.

TL;DR: This letter shows that a host of acceleration methods are also applicable to IHT and shows that these modifications not only significantly increase the observed speed of the method, but also satisfy the same strong performance guarantees enjoyed by the original IHT method.

TL;DR: A new reversible data hiding algorithm based on integer transform and adaptive embedding that enables very high capacity with good image quality and outperforms some state-of-the-art algorithms, especially for high capacity case.

TL;DR: Five new TDOA estimation methods inspired from signal-to-noise-ratio (SNR) weighting and probabilistic multi-source modeling techniques that have been successful for anechoicTDOA estimation and audio source separation are introduced and evaluated.

TL;DR: The experimental results show that the proposed algorithm outperforms many state-of-the-art algorithms, and solves the inverse problem automatically-prior information on the number of clusters and the size of each cluster is unknown.

TL;DR: A new algorithm meant for content based image retrieval (CBIR) and object tracking applications is presented, which differs from the existing LBP in a manner that it extracts the information based on distribution of edges in an image.

TL;DR: A generalized synchrosqueezing transform (GST) approach to deal with the diffusions in both time and frequency dimensions is proposed for signal TFR enhancement and it is shown that the wavelet diffusion only occurs at frequency dimension.

TL;DR: This paper employs concept of the spatially constrained ICA (SCICA) to extract artifact-only independent components (ICs) from the given EEG data, use WD to remove any cerebral activity from the extracted-artifacts ICs, and finally project back the artifacts to be subtracted from EEG signals to get clean EEG data.

TL;DR: The derivation of SPICE is revisited to streamline it and to provide further insights into LIKES, a new method obtained in a hyperparameter-free manner from the maximum-likelihood principle applied to the same estimation problem as considered by SPICE.

TL;DR: A reversible data hiding algorithm is proposed, in which the efficiency of modifying a pair of histogram bins is considered, and the image content is better preserved in high payload data hiding.

TL;DR: It is shown that the QZMs can be obtained from the conventional Zernike moments of each channel, and the theoretical framework to construct a set of combined invariants with respect to rotation, scaling and translation (RST) transformation is provided.

TL;DR: A new statistical sharpness measure is proposed by exploiting the spreading of the wavelet coefficients distribution to measure the degree of the image's blur and is exploited to perform adaptive image fusion in wavelet domain.

TL;DR: A novel event-triggering scheme upon which the sensor data is transmitted only when the specified event condition involving the sampled measurements of the plant is violated is proposed.

TL;DR: The outcomes of three recent evaluation campaigns in the field of audio and biomedical source separation are presented and directions for future research and evaluation are proposed, based on the ideas raised during the related panel discussion at the Ninth International Conference on Latent Variable Analysis and Signal Separation.

TL;DR: An approach to music genre classification which converts an audio signal into spectrograms and extracts texture features from these time-frequency images which are then used for modeling music genres in a classification system is presented.

TL;DR: A maximum a posteriori (MAP) based multi-frame super-resolution algorithm for hyperspectral images and principal component analysis (PCA) is utilized in both parts of the proposed algorithm: motion estimation and image reconstruction.

TL;DR: An alternating minimization approach for this purpose which is a variant of Grassmannian frame design modified by a gradient-based technique to optimize an initially random measurement matrix to a matrix which presents a smaller coherence than the initial one.

TL;DR: A robust copyright protection scheme based on fractional Fourier transform (FrFT) and visual cryptography (VC) and the experimental results show that the proposed scheme is strong enough to resist various signal processing operations.

TL;DR: A scheme of improvement on the region-scalable fitting (RSF) model proposed by Li et al. allows for more flexible initialization and more robustness to noise compared to the original RSF model.

TL;DR: Both the GSPF and GPF provide improved tracking performance and require less computational power than the SIR, and it has been found that the detection and tracking performance is enhanced significantly by incorporating the refined feature map.

TL;DR: Using continuous frequency distribution, the stability conditions based on indirect approach to Lyapunov stability are derived and a systematic algorithm is presented, which checks for feasibility of a solution to the quadratic inequality and yields an observer whenever the solution is feasible.

TL;DR: A novel resampling algorithm (called Deterministic Resampling) is proposed, which avoids uncensored discarding of low weighted particles thereby avoiding sample impoverishment and indicates that estimation accuracy is better than traditional methods with an affordable computation burden.

TL;DR: Experimental results show that the proposed scheme provides high restoration quality and, due to the low embedding volume, the visual quality of the watermarked image is satisfactory.

TL;DR: Experimental results and analysis show that the proposed method has superior performance to RSA and ElGamal, and has a lower computation overhead in image decryption comparing with the method that uses other additively homomorphic property in EC-ElGamal.

TL;DR: This paper presents a comprehensive concept for target tracking in DAB/DVB-T networks accounting for the characteristics of this signal and derived algorithms will be tested with respect to numerical simulations.

TL;DR: The purpose is to design a filter such that the filtering error singular system is regular, causal, asymptotically stable and strictly (Q,S,R-dissipative) for uncertain discrete-time singular system with interval time-varying delay and sensor failures.

TL;DR: A novel modified projection method is proposed in this paper, which is robust against the signal steering vector mismatch and covariance matrix uncertainty and can work well even at low signal-to-noise ratio.

TL;DR: A hierarchical method for combining Pose Kinematics and PEI, which represents the percentage of time spent in each key pose state over a gait cycle, and outperforms existing approaches.

TL;DR: This paper proposes an improved two-dimensional direction-of-arrival (DOA) estimation algorithm for two-parallel uniform linear arrays using PM that has better angle estimation performance, and lower complexity.