An automated method for detecting and eliminating electrocardiograph (ECG) artifacts from electroencephalography (EEG) without an additional synchronous ECG channel is proposed in this paper. Considering the properties of wavelet filters and the relationship between wavelet basis and characteristics of ECG artifacts, the concepts for selecting a suitable wavelet basis and scales used in the pro...

Images require substantial storage and transmission resources, thus image compression is advantageous to reduce these requirements. The objective of this paper is to evaluate a set of wavelets for image compression. Image compression using wavelet transforms results in an improved compression ratio. Wavelet transformation is the technique that provides both spatial and frequency domain informat...

We present a new technique for image contrast enhancement via multiscale gradient transformation. In contrast to histogram-based techniques which aim to change the global statistical distribution of pixel intensities, we improve image contrast by modifying the modulus of the gradient image at multiple scales. In computation, a multiscale gradient representation of the image is generated by a wa...

The wavelet transform, which has had a growing importance in signal and image processing, has been generalized by association with both the wavelet transform and the fractional Fourier transform. Possible implementations of the new transformation are in image compression, image transmission, transient signal processing, etc. Computer simulations demonstrate the abilities of the novel transform....

Discrete wavelet coefficients of input and output of a Linear Time Invariant system, respectively, are shown to be related by a transformation matrix whose elements depend upon characteristics of the system and choice of wavelet bases. A filter bank implementation of the matrix using digital filters, Upand Down-samplers is also given.

WaveBase is a system for detecting features in a face image. It has a database of faces, each with a two-level hierarchical wavelet network. When a new face image is presented to the system for face detection, WaveBase searches its database for the “best face” – the face whose first level wavelet network most closely matches the new face. It also determines an affine transformation to describe ...

Aims. We describe a fast, robust and automatic detection algorithm, TRUFAS, and apply it to data that are being expected from the CoRoT mission. Methods. The procedure proposed for the detection of planetary transits in light curves works in two steps: 1) a continuous wavelet transformation of the detrended light curve with posterior selection of the optimum scale for transit detection, and 2) ...

Building an efficient and robust system capable of working in harsh real world conditions represents the ultimate goal of the traffic video surveillance. Despite an evident progress made in the area of statistical background modeling over the last decade or so, moving object detection is still one of the toughest problems in video surveillance, and new approaches are still emerging. Based on ou...

We conducted a genome-wide association study on the Genetic Analysis Workshop 17 simulated unrelated individuals data using a multilocus score test based on wavelet transformation that we proposed recently. Wavelet transformation is an advanced smoothing technique, whereas the currently popular collapsing methods are the simplest way to smooth multilocus genotypes. The wavelet-based test suppre...

The surface autocorrelation function can be retrieved from the values of the far-field integrated irradiance. The inversion procedure is discussed in the frame of a theory of integrated wavelet transformation. For different types of autocorrelation functions, the capabilities and limitations of the inversion procedure are studied. The influence of experimental noise and the specific choice of t...