Browsing DSP Publications by Title
Now showing items 362-381 of 508
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PARAMETRIC AND NON-PARAMETRIC METHODS OF IMPROVING BEARING ESTIMATION IN NARROWBAND PASSIVE SONAR SYSTEMS
(1987)Two approaches--one parametric and one non-parametric--to the source bearing estimation problem for narrowband passive sonar are presented. The parametric technique does not directly involve estimation of a spatial spectrum. ... -
PathChirp: Efficient Available Bandwidth Estimation for Network Paths
(2003-04-01)This paper presents <i>PathChirp</i>, a new active probing tool for estimating the available bandwidth on a communication network path. Based on the concept of "self-induced congestion," PathChirp features an exponential ... -
Phase and Magnitude Perceptual Sensitivities in Nonredundant Complex Wavelet Representations
(2003-11-01)The recent development of a nonredundant complex wavelet transform allows a novel framework for image analysis. Work on this representation has recognized that the phase and magnitude of complex coefficients can be related ... -
Platelets for Multiscale Analysis in Medical Imaging
(2002-04-20)This paper describes the development and use of multiscale, platelet-based image reconstruction algorithms in medical imaging. Such algorithms are effective because platelets approximate images in certain (piecewise) ... -
Platelets for Multiscale Analysis in Photon-Limited Imaging
(2002-09-20)This paper proposes a new multiscale image decomposition based on platelets. Platelets are localized functions at various scales, locations, and orientations that produce piecewise linear image approximations. For smoothness ... -
Platelets: A Multiscale Approach for Recovering Edges and Surfaces in Photon-Limited Medical Imaging
(2003)This paper proposes a new multiscale image decomposition based on platelets. Platelets are localized functions at various scales, locations, and orientations that produce piecewise linear image approximations. Platelets ... -
Polynomial Root Finding
(1994-10-01)Finding polynomial roots rapidly and accurately is an important problem in many areas of signal processing. We present a program which is superior in speed and accuracy to the best methods to our knowledge, i.e., Jenkins/Traub ... -
A programmable baseband processor design for software defined radios
(2002-08-20)Future wireless systems need extremely fast and flexible architectures to support varying standards, algorithms and protocols with data rates in the range of 10-100 Mbps. Software Defined Radios (SDRs) based on DSP-FPGAs ... -
Pseudo Affine Wigner Distributions
(1996-05-01)In this paper, we introduce a new set of tools for time-varying spectral analysis: the pseudo affine Wigner distributions. Based on the affine Wigner distributions of J. and P. Bertrand, these new time-scale distributions ... -
Pseudo Affine Wigner Distributions: Definition and Kernel Formulation
(1998-06-01)In this paper, we introduce a new set of tools for time-varying spectral analysis: the pseudo affine Wigner distributions. Based on the affine Wigner distributions of J. and P. Bertrand, these new time-scale distributions ... -
Pseudo Power Scale Signatures: Frequency Domain Approach
(2000-03-01)In an earlier work, we introduced a new form of signal representation called the <b><i>pseudo power signature (PPS)</i></b> that was essentially independent of the duration of the signal. The signatures were obtained based ... -
A Pseudo-Bertrand Distribution for Time-Scale Analysis
(1996-03-01)Using the pseudo-Wigner time-frequency distribution as a guide, we derive two new time-scale representations, the pseudo-Bertrand and the smoothed pseudo-Bertrand distributions. Unlike the Bertrand distribution, these ... -
Quantization of Sparse Representations
(2007-01-16)Compressive sensing (CS) is a new signal acquisition technique for sparse and compressible signals. Rather than uniformly sampling the signal, CS computes inner products with randomized basis functions; the signal is then ... -
Quasi-Circular Rotation Invariance in Image Denoising
(1999-10-20)This paper studies a new method for wavelet-based image denoising which is translation invariant (TI) <b>and</b> rotation invariant (RI). These invariances are crucial in image denoising and, more generally, may play ... -
Quaternion Wavelets for Image Analysis and Processing
(2004-10-01)Using the concepts of two-dimensional Hubert transform and analytic signal, we construct a new quaternion wavelet transform (QWT). The QWT forms a tight frame and can be efficiently computed using a-2-D dual-tree filter ... -
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A Radially-Gaussian, Signal-Dependent Time-Frequency Representation
(1991-04-01)An optimization formulation for designing signal-dependent kernels that are based on radially Gaussian functions is presented. The method is based on optimality criteria and is not ad hoc. The procedure is automatic. The ... -
Random Filters for Compressive Sampling and Reconstruction
(2006-05-01)We propose and study a new technique for efficiently acquiring and reconstructing signals based on convolution with a fixed FIR filter having random taps. The method is designed for sparse and compressible signals, i.e., ...
