The purpose of this study is to efficiently evaluate the BER performance of a single mode, intensity modulated/direct detected lightwave communication link with fiber dispersion compensation. Expensive equipment and c...
详细信息
The purpose of this study is to efficiently evaluate the BER performance of a single mode, intensity modulated/direct detected lightwave communication link with fiber dispersion compensation. Expensive equipment and considerable resources can be involved in experimental testing of optical communication systems. However, performance evaluation of digital lightwave links by simulation is flexible and cost effective. A semi-analytical approach is implemented as an attempt to avoid the inaccuracies of a purely analytical study, while using computer simulations to derive estimates of statistical distributions that are not analytically tractable. signal degradation effects of laser sources, optical fiber and photosensitive devices are simulated.< >
A new signal estimation technique is proposed that uses the wavelet transform to determine the time-frequency information content of human evoked brain potentials. By adaptively weighting the individual time-frequency...
详细信息
A new signal estimation technique is proposed that uses the wavelet transform to determine the time-frequency information content of human evoked brain potentials. By adaptively weighting the individual time-frequency bins using a neural network, a time-varying estimate of the evoked potential can be obtained. The weighting procedure enhances the time-frequency bins corresponding to the EP while attenuating those corresponding to the EEG.
A novel class of Learning Vector Quantizers (LVQs) based on multivariate order statistics is proposed in order to overcome the drawback that the estimators for obtaining the reference vectors in LVQ do not have robust...
详细信息
A novel class of Learning Vector Quantizers (LVQs) based on multivariate order statistics is proposed in order to overcome the drawback that the estimators for obtaining the reference vectors in LVQ do not have robustness either against erroneous choices for the winner vector or against the outliers that may exist in vector-valued observations. The performance of the proposed variants of LVQ is demonstrated by experiments. In the case of marginal median LVQ, its asymptotic properties are derived as well.< >
A non-parametric estimation method based on a series expansion of a signal by a set of basis functions is presented. The method is used to estimate the waveform of event-related signals which have a transient behaviou...
详细信息
A non-parametric estimation method based on a series expansion of a signal by a set of basis functions is presented. The method is used to estimate the waveform of event-related signals which have a transient behaviour with unknown shapes and time delays which vary randomly after a known event time. The quality of the estimate depends on the choice of the set of basis functions. Two different sets of basis functions are designed from a template, which contains a priori information, by using one uniform and one non-uniform bandpass filter bank, respectively. Each of the two sets is enlarged by a number of delayed copies of each basis function by employing FIR-filters, the coefficients of which are determined in terms of squared error. The method is evaluated and compared with the Karhunen-Loeve expansion.< >
An extension of entropy-constrained residual vector quantization is presented where inter-vector dependencies are exploited. The method, which the authors call conditional entropy-constrained residual vector quantizat...
详细信息
An extension of entropy-constrained residual vector quantization is presented where inter-vector dependencies are exploited. The method, which the authors call conditional entropy-constrained residual vector quantization, employs a high-order entropy conditioning strategy that captures local information in the neighboring vectors. The complexity of the proposed design algorithm is relatively low, due mainly to the efficiency of the multistage structure of the residual vector quantizer, but also to the effectiveness of the searching techniques used to locate the best conditioning spatial-stage region of support. Experimental results show that the new method outperforms standard entropy-constrained residual vector quantization while also requiring lower encoding complexity and memory requirements.< >
The paper extends Kosravi and Schafer (1994) which introduced the notion of normalized min correlation (NMC) as a new criterion for template matching applications. The NMC features low complexity and robustness with r...
详细信息
The paper extends Kosravi and Schafer (1994) which introduced the notion of normalized min correlation (NMC) as a new criterion for template matching applications. The NMC features low complexity and robustness with respect to Gaussian noise. It is also independent of the local average of the image, which is a desired property in many template matching applications. However, its sensitivity to impulsive noise increases with the size of the template. The paper introduces two different modifications of the NMC which are robust with respect to both Gaussian and impulsive noise. The performance of the new modifications are examined in motion estimation applications. As a different way of looking at the NMC, the notion of grayscale hit-or-miss transform is introduced. This is an extension of the binary hit-or-miss transform to grayscale.< >
The alternation theorem is at the core of the efficient real Chebyshev approximation algorithms. In this paper, the alternation theorem is extended from the real-only to the complex case. A new efficient algorithm is ...
详细信息
The alternation theorem is at the core of the efficient real Chebyshev approximation algorithms. In this paper, the alternation theorem is extended from the real-only to the complex case. A new efficient algorithm is described for designing FIR filters that best approximate in the Chebyshev sense a desired complex-valued function. This algorithm is based on an ascent Remez exchange method applied to a transformation of the complex Chebyshev error, and is basically a generalization of the Parks-McClellan algorithm to the complex case. Numerical examples are presented to illustrate the performance of the proposed algorithm.< >
This paper describes a novel method for detecting nonstationary signals in colored noise. A first order complex autoregressive, or AR(1), signal model is used which restricts the application of the detector to low ord...
详细信息
This paper describes a novel method for detecting nonstationary signals in colored noise. A first order complex autoregressive, or AR(1), signal model is used which restricts the application of the detector to low order signals, i.e., those which are well modeled by a low order AR process and have only a single spectral peak. The detector assumes the noise covariance is stationary and known. The likelihood function is estimated in the frequency domain because the model simplifies, and the nonstationary frequency estimate can be obtained by an algorithm which approximates the Viterbi algorithm. The AR model parameters are then used to form the appropriate covariance matrix and the approximate likelihood is calculated. Therefore, the detector uses efficient approximations to approximate the generalized likelihood ratio test (GLRT). Simulation results are shown to compare the detector with the known signal likelihood ratio test.< >
Perfect reconstruction (PR) time-varying analysis-synthesis filter banks are those in which the filters are allowed to change from one set of PR filter banks to another as the input signal is being processed. Such sys...
详细信息
Perfect reconstruction (PR) time-varying analysis-synthesis filter banks are those in which the filters are allowed to change from one set of PR filter banks to another as the input signal is being processed. Such systems have the property that, in the absence of coding, they faithfully reconstruct every sample of the input. This paper introduces a new structure for exact reconstructing time-varying analysis-synthesis filter banks. This structure consists of the conventional filter bank followed by a time-varying post filter. The new method requires neither the redesign of the analysis sections, nor the use of any intermediate analysis filters during transition periods. It provides a simple procedure for designing time-varying filter banks without the disadvantages of the previous methods.< >
Existing algorithms for filtering noise from contaminated chaotic signals require relatively high signal-to-noise ratios (SNRs). A preprocessing method is proposed for initial noise reduction in severe SNRs. This meth...
详细信息
ISBN:
(纸本)0780319486
Existing algorithms for filtering noise from contaminated chaotic signals require relatively high signal-to-noise ratios (SNRs). A preprocessing method is proposed for initial noise reduction in severe SNRs. This method uses all the difference vectors between the points in a small neighborhood of the point of interest to estimate more accurately the tangent surface described by Cawley and Hsu (1992). This preprocessing method is applicable to noisy data from any nonlinear dynamical system, because it does not require knowledge of the system dynamics.< >
暂无评论