Robust Processing of Nonstationary Signals
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Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:724746
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A Generalized Cauchy Distribution Framework for Problems Requiring Robust Behavior
Statistical modeling is at the heart of many engineering problems. The importance of statistical modeling emanates not only from the desire to accurately characterize stochastic events, but also from the fact ...
Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:312989 -
Adaptive Wavelet Transform Method to Identify Cracks in Gears
Many damages and faults can cause problems in gear unit operation. A crack in the tooth root is probably the least desirable among them. It often leads to failure of gear unit operation. By monitoring vibratio...
Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:879875 -
Channel Characterization and Robust Tracking for Diversity Reception over Time-Variant Off-Body Wireless Communication Channels
In the 2.45 GHz band, indoor wireless off-body data communication by a moving person can be problematic due to time-variant signal fading and the consequent variation in channel parameters. Off-body communicat...
Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:978085 -
Two-Dimensional Harmonic Retrieval in Correlative Noise Based on Genetic Algorithm
We propose a niche Genetic algorithm (GA) for the two-dimensional (2D) harmonic retrieval in the presence of correlative zero-mean, multiplicative, and additive noise. Firstly, we introduce a 2D fourth-order t...
Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:569371 -
Image Variational Denoising Using Gradient Fidelity on Curvelet Shrinkage
A new variational image model is presented for image restoration using a combination of the curvelet shrinkage method and the total variation (TV) functional. In order to suppress the staircasing effect and cu...
Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:398410 -
Two-Stage Outlier Elimination for Robust Curve and Surface Fitting
An outlier elimination algorithm for curve/surface fitting is proposed. This two-stage hybrid algorithm employs a proximity-based outlier detection algorithm, followed by a model-based one. First, a proximity ...
Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:154891 -
An Overview of the Adaptive Robust DFT
This paper overviews basic principles and applications of the robust DFT (RDFT) approach, which is used for robust processing of frequency-modulated (FM) signals embedded in non-Gaussian heavy-tailed noise. In...
Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:595071 -
Improved Noise Minimum Statistics Estimation Algorithm for Using in a Speech-Passing Noise-Rejecting Headset
This paper deals with configuration of an algorithm to be used in a speech-passing angle grinder noise-canceling headset. Angle grinder noise is annoying and interrupts ordinary oral communication. Meaning tha...
Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:395048 -
Data Fusion for Improved Respiration Rate Estimation
We present an application of a modified Kalman-Filter (KF) framework for data fusion to the estimation of respiratory rate from multiple physiological sources which is robust to background noise. A novel index...
Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:926305 -
Impulse Noise Filtering Using Robust Pixel-Wise S-Estimate of Variance
A novel method for impulse noise suppression in images, based on the pixel-wise S-estimator, is introduced. The S-estimator is an alternative for the well-known robust estimate of variance MAD, which does not ...
Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:830702 -
Robust Time-Frequency Distributions with Complex-Lag Argument
The robust time-frequency distributions with complex-lag argument are proposed. They can provide an accurate estimation of fast varying instantaneous frequency in the presence of noise with heavy-tailed probab...
Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:879874