Browsing DSP Publications by Title
Now showing items 398417 of 508

SCAN  Speech Content Based Audio Navigator: A Systems Overview
(19980115)SCAN (Speech Content based Audio Navigator) is a spoken document retrieval system integrating speakerindependent, largevocabulary speech recognition with informationretrieval to support querybased retrieval of information ... 
SecondOrder Statistical Measures for TextIndependent Speaker Identification
(19950820)This article presents an overview of several measures for speaker recognition. These measures relate to secondorder statistical tests, and can be expressed under a common formalism. Alternate formulations of these measures ... 
Sharing Knowledge and Building Communities in Signal Processing
(20040901)The textbook has traditionally been the fundamental tool of university teaching. The text both serves as the repository of facts and information and provides the recommended structure and sequence for teaching and learning ... 
Shear Madness: New Orthonormal Bases and Frames Using Chirp Functions
(19931201)The proportionalbandwidth and constantbandwidth timefrequency signal decompositions of the wavelet, Gabor, and Wilson orthonormal bases have attracted substantial interest for representing nonstationary signals. However, ... 
ShiftInvariant Denoising using WaveletDomain Hidden Markov Trees
(19991020)Waveletdomain hidden Markov models have proven to be useful tools for statistical signal and image processing. The hidden Markov tree (HMT) model captures the key features of the joint statistics of the wavelet coefficients ... 
ShiftInvariant Denoising using WaveletDomain Hidden Markov Trees
(19991001)Waveletdomain hidden Markov models have proven to be useful tools for statistical signal and image processing. The hidden Markov tree (HMT) model captures the key features of the joint statistics of the wavelet coefficients ... 
Signal and Information Processing for Wireless Communication Systems
(20010420)Next generation wireless communication systems need to support access to multimedia data available on the internet. This universal wireless access to multimedia data requires data rates and quality of service that are ... 
A Signal Dependent Time Frequency Representation: Optimal Kernel Design
(19930401)Timefrequency distributions (TFDs), which indicate the energy content of a signal as a function of both time and frequency, are powerful tools for timevarying signal analysis. The lack of a single distribution that is ... 
Signal Estimation using WaveletMarkov Models
(19970401)Current waveletbased statistical signal and image processing techniques such as shrinkage and filtering treat the wavelet coefficients as though they were statistically independent. This assumption is unrealistic; considering ... 
The Signal Processing Information Base
(19931020)The SPIB (Signal Processing Information Base) project at Rice University is discussed. This information base will provide the signal processing researcher and the applications engineer with data, programs, and papers that ... 
Signal Transform Covariant to Scale Changes
(19930901)A unitary signal transformation that is covariant by translation to scale changes (dilations and compressions) in the signal is formulated and justified. Unlike the Mellin transform, which is invariant to scale changes, ... 
SignalDependent TimeFrequency Analysis using a Radially Gaussian Kernel
(19930115)Timefrequency distributions are twodimensional functions that indicate the timevarying frequency content of onedimensional signals. Each bilinear timefrequency distribution corresponds to a kernel function that ... 
A SignalDependent TimeFrequency Representation: Fast Algorithm for Optimal Kernel Design
(19940101)A timefrequency representation based on an optimal, signaldependent kernel has been proposed recetnly in an attempte to overcome one of the primary limitations of bilinear timefrequency distributions: that the best ... 
A Simple Covariance Based Characterization of Joint Signal Representations of Arbitrary Variables
(19960120)Joint signal representations of arbitrary variables extend the scope of joint timefrequency representations, and provide a useful description for a wide variety of nonstationary signal characteristics. Cohen's marginalbased ... 
A simple proof of the restricted isometry property for random matrices
(20070118)We give a simple technique for verifying the Restricted Isometry Property (as introduced by Candès and Tao) for random matrices that underlies Compressed Sensing. Our approach has two main ingredients: (i) concentration ... 
A Simple Scheme for Adapting TimeFrequency Representations
(19941201)Signaldependent timefrequency representations, by adapting their functional form to fit the signal being analyzed, offer many performance advantages over conventional representations. In this paper, we propose a simple, ... 
A Simple Scheme for Adapting TimeFrequency Representations
(19921001)Current signaldependent timefrequency representations are blockoriented methods suited only for shortduration signals. The authors propose a simple, computationally efficient technique for creating adaptive timefrequency ... 
A Simple Statistical Analysis of Waveletbased Multifractal Spectrum Estimation
(19981101)The multifractal spectrum characterizes the scaling and singularity structures of signals and proves useful in numerous applications, from network traffic analysis to turbulence. Of great concern is the estimation of the ...