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Now showing items 11-20 of 50

#### Multifractal Formalism for Infinite Multinomial Measures

(1995-01-20)

There are strong reasons to believe that the multifractal spectrum of DLA shows anomalies which have been termed left sided. In order to show that this is compatible with strictly multiplicative structures Mandelbrot et al. introduced a one parameter family of multifractal measures invariant under infinitely many linear maps on the real line. Under ...

#### Inversion Formula for Continuous Multifractals

(1997-01-20)

In a previous paper the authors introduced the inverse measure <i>Âµ</i><sup>â </sup> of a probability measure <i>Âµ</i> on [0,1]. It was argued that the respective multifractal spectra are linked by the 'inversion formula' <i>f</i><sup>â </sup>(<i>a</i>) = <i>a</i><i>f</i>(1/<i>a</i>). Here, the statements of Part I are put in more mathematical ...

#### Multifractal Properties of TCP Traffic: a Numerical Study

(1997-10-20)

We analyze two traces of TCP--traffic recorded at the gateway of a LAN correÂ sponding to two hours at Berkeley and to eight hours at CNET labs respectively. We are mainly interested in a multifractal approach, which we introduce with varÂ ious examples. We elaborate on the difference to (mono)fractal statistical tests being used so far. Though we ...

#### Empirical Mode Decomposition Based Frequency Attributes

(1999-11-01)

This paper describes a new technique, called <i>Empirical Mode Decomposition</i> (EMD), which allows the decomposition of one-dimensional signals into intrinsic oscillatory modes. Each component, called <i>Intrinsic Mode Function</i> (IMF), has nice properties which allow the calculation of a meaningful instantaneous frequency. Applied to a seismic ...

#### Adaptive Wavelet Transforms via Lifting

(1998)

This paper develops new algorithms for adapted multiscale analysis and signal adaptive wavelet transforms. We construct our adaptive transforms with the <i>lifting scheme</i>, which decomposes the wavelet transform into prediction and update stages. We adapt the prediction stage to the signal structure and design the update stage to preserve the ...

#### Time Frequency Principal Components: Application to Speaker Identification

(1999-01-01)

In this paper, we propose a formalism, called vector filtering of spectral trajectories, which allows to integrate under a common formalism a lot of speech parameterization approaches. We then propose a new filtering in this framework, called time-frequency principal components (TFPC) of speech. We apply this new filtering in the framework of speaker ...

#### Hybrid Linear / Bilinear Time-Scale Analysis

(1999-01-01)

We introduce a new method for the time-scale analysis of non-stationary signals. Our work leverages the success of the "time-frequency distribution series / cross-term deleted representations" into the time-scale domain to match wide-band signals that are better modeled in terms of time shifts and scale changes than in terms of time and frequency ...

#### Speaker Detection in Broadcast Speech Databases

(1998-01-15)

Experiments have been carried out to assess the feasibility of detecting target speaker segments in multi-speaker broadcast databases. The experiemental database consists of NBC Nightly News broadcasts. The target speaker is the news anchor, Tom Brokaw. Gaussian mixture models are constructed from labelled training data for the target speaker as well ...

#### Nonstationary Signal Enhancement Using The Wavelet Transform

(1996-03-20)

Conventional signal processing typically involves frequency selective techniques which are highly inadequate for nonstationary signals. In this paper, we present an approach to perform time-frequency selective processing using the Wavelet Transform. The approach is motivated by the excellent localization, in both time and frequency, afforded by the ...

#### An Improved Multifractal Formalism and Self Similar Measures

(1995-01-01)

To characterize the geometry of a measure, its so-called generalized dimensions D(<i>q</i>) have been introduced recently. The mathematically precise definition given by Falconer turns out to be unsatisfactory for reasons of convergence as well as of undesired sensitivity to the particular choice of coordinates in the negative <i>q</i> range. A new ...