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The wavelet transform provides a time-scale analysis that permits flexible pattern recognition, component identification, and detection of transients for time-varying neural signals such as the EEG, event-related potentials, neuromagnetic signals, and other neural signals and images. Many future applications to neural signals will benefit from choosing a mother wavelet that mimics neural waveform...
Parceled out into overlapping waveform pieces that mimic the mother wavelet in the time domain. However, if the goal of neural waveform analysis is to identify specific neural events or components, it is advantageous to choose wavelets that match the shapes of the signals of interest. The wavelet that most closely resembles the waveshape of a neural signal is the best scale-independent analyzing function...
This paper addresses the problem of deconvolution in a multiresolution scheme. It results a deconvolution problem at each level of resolution. The Miller regularized approach is used and the normal equations are solved using a constrained iterative algorithm. Simulations show the advantages of this approach.
We have illustrated the construction of matched Meyer wavelets for auditory and visual neural waveforms, and have demonstrated that MRAs using such wavelets achieve a physiologically natural decomposition of ERPs that can localize functionally meaningful clinical effects. Designer neural wavelets hold considerable potential for customizing neural signal and image processing for advanced clinical and...
The availability of fast processors with architectures tailored to meet the computational demand of digital signal processing algorithms is widely applied to demodulation and decodification of CPM signals in some scenes: Mobiles, AWGN channels,… In this application the number of floating point operations executed by each processed symbol is a critical parameter to be designed, this is to be minimized...
Figure 2b shows a Meyer wavelet matched to the groupaveraged cognitive Pz P300-ERP. The P300-ERP wavelet tracks the dominant low frequency P300 component well.
This paper deals with a possible extension of the fractal compression algorithm defined for still image to moving picture. The addressed approach is a mixed approach based on a combination between inter-frame coding using block-matching, and intraframe coding using I.F.S.
In this paper we solve the constrained deconvolution problem by state space approach in an H∞ setting. The problem addressed is the design of a nonlinear estimator that guarantees H∞ performance on infinite horizon for the estimation error by using the Game Theory technic. The method proposed is useful in cases where the statistics of the disturbance and the noise signal are not completely known....
In this paper we focus on the transmission of information signals via chaotic oscillations. To this end, we consider systems which contain generators with additional control loop and could behave chaotically and which dynamics may be controlled using feedback or directional coupling. Below we discuss three schemes of signal transmission and detection using 1) phase or frequency controlled generators,...
Coloured images may be simplified with an area based sieve whilst preserving edges and, usually, colour up to the edges using either the hue, saturation and value (HSV) or red, blue, green (RGB) components. Furthermore, an image may be segmented by area. Applying the sieve to HSV components from a colour image appears to significantly improve the chances of finding objects in a scene, particularly...
A speech codec for ATM networks is presented which includes ATM adaptation layer functions, a voice activity detection, and a new method for the reconstruction of lost cells. As the cell assembly already requires a relatively high buffering delay, only algorithms are applied which introduce small additional delays. The reconstruction of lost cells is based on an analysis of the LPC and pitch parameters...
In this paper we introduce a non-iterative algorithm for vector quantization clustering based on the efficient search for the two clusters whose merging gives the minimum distortion increase. The search is performed within the A'-dimensional cells of a lattice having a generating matrix that changes from one step of the algorithm to another. The generating matrix is modified gradually so that the...
In the present context, the naval surveillance radar have to face important progress of both stealthness of the targets and electronic countermeasure (ECM) techniques. In order to resolve simultaneously the two problems of stealth targets and ECM techniques, we have proposed a new solution [1]. This one can be applied to the naval surveillance radar and its main characteristic is the use of a random...
We describe the characteristics of a real time MPEG2 Multichannel Encoder based on a multi-DSP board. We discuss both the architectural base and the algorithm real time implementation. Due to the flexibility of the described card, realizations of other audio processing algorithms arc also possible. A brief description of these implementations is also given.
Multiresolution decomposition of signals has been conventionally carried out by the wavelet representation. In this paper, the orthogonal polynomial approximation has been employed for multiresolution analysis. It is demonstrated that the proposed technique based on polynomial approximation has certain distinct advantages over the conventional method employing wavelet representation.
The design of discrete coefficient FIR filters with arbitrary magnitude and phase specifictions and whose coefficients are expressed as the signed combination of a few power-of-terms (SPT) is considered. The total number of SPT terms is fixed and their distribution among the coefficients is not restricted. The proposed method is an improved version of those originally proposed for the design of linear...
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