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Training Neural Networks With Additive Noise in The Desired Signal
 IEEE Transactions on Neural Networks
, 1995
"... : A new global optimization strategy for training adaptive systems such as neural networks and adaptive filters (finite or infinite impulse response (FIR or IIR)) is proposed in this paper. Instead of adding random noise to the weights as proposed in the past, additive random noise is injected direc ..."
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Cited by 20 (3 self)
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directly into the desired signal. Experimental results show that this procedure also speeds up greatly the backpropagation algorithm. The method is very easy to implement in practice, preserving the backpropagation algorithm and requiring a single random generator with a monotonically decreasing step size
Blind extraction algorithm with direct desired signal selection
"... AbstractIn many practical applications we are interested in the extraction of only one desired signal out of a mixture of signals. A disadvantage of most blind extraction approaches proposed in the literature is that they are inefficient in the sense that they also separate or extract undesired si ..."
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AbstractIn many practical applications we are interested in the extraction of only one desired signal out of a mixture of signals. A disadvantage of most blind extraction approaches proposed in the literature is that they are inefficient in the sense that they also separate or extract undesired
Compressive sampling
, 2006
"... Conventional wisdom and common practice in acquisition and reconstruction of images from frequency data follow the basic principle of the Nyquist density sampling theory. This principle states that to reconstruct an image, the number of Fourier samples we need to acquire must match the desired res ..."
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Cited by 1441 (15 self)
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of scientific interest accurately and sometimes even exactly from a number of samples which is far smaller than the desired resolution of the image/signal, e.g. the number of pixels in the image. It is believed that compressive sampling has far reaching implications. For example, it suggests the possibility
Survey on Independent Component Analysis
 NEURAL COMPUTING SURVEYS
, 1999
"... A common problem encountered in such disciplines as statistics, data analysis, signal processing, and neural network research, is nding a suitable representation of multivariate data. For computational and conceptual simplicity, such a representation is often sought as a linear transformation of the ..."
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Cited by 2309 (104 self)
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A common problem encountered in such disciplines as statistics, data analysis, signal processing, and neural network research, is nding a suitable representation of multivariate data. For computational and conceptual simplicity, such a representation is often sought as a linear transformation
A computational approach to edge detection
 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
, 1986
"... This paper describes a computational approach to edge detection. The success of the approach depends on the definition of a comprehensive set of goals for the computation of edge points. These goals must be precise enough to delimit the desired behavior of the detector while making minimal assumpti ..."
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Cited by 4675 (0 self)
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This paper describes a computational approach to edge detection. The success of the approach depends on the definition of a comprehensive set of goals for the computation of edge points. These goals must be precise enough to delimit the desired behavior of the detector while making minimal
GPSfree positioning in mobile ad hoc networks
 Cluster Computing
, 2001
"... this paper, we describe an algorithm for the positioning of nodes in an ad hoc network that does not use GPS. The algorithm provides a position information to the nodes in the scenarios where an infrastructure does not exist and GPS cannot be used. GPSfree positioning is also desirable, when the GP ..."
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Cited by 462 (12 self)
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this paper, we describe an algorithm for the positioning of nodes in an ad hoc network that does not use GPS. The algorithm provides a position information to the nodes in the scenarios where an infrastructure does not exist and GPS cannot be used. GPSfree positioning is also desirable, when
AN APPROACH TO PREVENT ADAPTIVE BEAMFORMERS FROM CANCELLING THE DESIRED SIGNAL
"... Under real conditions, severe signal cancellation often occurs in adaptive beamformers because of reverberation, microphone transfer function mismatch or steering vector error. Therefore, usually voice activity information is necessary to pause the beamformer update during the speech activity. Howev ..."
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Cited by 1 (1 self)
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. However, this information is not available or not sufficiently accurate in most applications. Here we propose a new algorithm in order to mitigate the signal cancellation effect. The algorithm extracts the desired sourcetomicrophones transfer functions from the data covariance matrix by using rough
SPEECH DEREVERBERATION USING WEIGHTED PREDICTION ERROR WITH LAPLACIAN MODEL OF THE DESIRED SIGNAL
"... Reverberation has a considerable impact on the quality and intelligibility of captured speech signals. In this paper we present an approach for blind multimicrophone speech dereverberation based on the weighted prediction error method, where the reverberant observations are modeled using multich ..."
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channel linear prediction in the shorttime Fourier transform domain. Instead of using the commonly employed Gaussian distribution for the desired speech signal, the proposed approach uses a Laplacian distribution which is known to be more accurate in modeling speech signals. Maximumlikelihood estimation
SPEECH DEREVERBERATION USINGWEIGHTED PREDICTION ERRORWITH LAPLACIAN MODEL OF THE DESIRED SIGNAL
"... Reverberation has a considerable impact on the quality and intelligibility of captured speech signals. In this paper we present an approach for blind multimicrophone speech dereverberation based on the weighted prediction error method, where the reverberant observations are modeled using multich ..."
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channel linear prediction in the shorttime Fourier transform domain. Instead of using the commonly employed Gaussian distribution for the desired speech signal, the proposed approach uses a Laplacian distribution which is known to be more accurate in modeling speech signals. Maximumlikelihood estimation
PERFORMANCE ANALYSIS OF DUALBRANCH SELECTION DIVERSITY RECEIVER THAT USES DESIRED SIGNAL ALGORITHM IN CORRELATED WEIBULL FADING ENVIRONMENT
"... Original scientific paper This paper focuses on performance analysis of dualbranch selection combining (SC) diversity system where both, desired signal as well as cochannel interference (CCI), are subjected to Weibull fading. For the case when desired signal algorithm is used as decision criterion ..."
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Original scientific paper This paper focuses on performance analysis of dualbranch selection combining (SC) diversity system where both, desired signal as well as cochannel interference (CCI), are subjected to Weibull fading. For the case when desired signal algorithm is used as decision
Results 1  10
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