Browsing DSP Publications by Title
Now showing items 160 of 508

The 2nuSVM: A CostSensitive Extension of the nuSVM
(20051201)Standard classification algorithms aim to minimize the probability of making an incorrect classification. In many important applications, however, some kinds of errors are more important than others. In this report we ... 
3D Local Radon Power Spectra for Seismic Attribute Extraction
(19980115)In this paper we discuss a method for volume attribute extraction that is based on a new type of local Radon power spectrum. The new algorithm results in robust and geologically meaningful volume attributes, such as ... 
3D Geometry Coding using Mixture Models and the Estimation Quantization Algorithm
(20020901)3D surfaces are used in applications such as animations, 3D object modeling and visualization. The geometries of such surfaces are often approximated using polygonal meshes. This thesis aims to compress 3D geometry meshes ... 
A HIGH RESOLUTION DATAADAPTIVE TIMEFREQUENCY REPRESENTATION
(1987)The shorttime Fourier transform and the Wigner distribution are the timefrequency representations that have received the most attention. The Wigner distribution has a number of desirable properties, but it introduces ... 
A NOVEL FRAMEWORK FOR SURFACE RECONSTRUCTION FROM 3DIMENSIONAL CONTOURS
(1986)In many applications, such as computer vision, medical imaging, scene forming, and motion animation, surface data is available in the form of twodimensional (2D) or threedimensional (3D) contours. Reconstruction of the ... 
Adaptive Iterative Reqeighted Least Squares Design of LP FIR Filters
(19990301)This paper presents an efficient adaptive algorithm for designing FIR digital filters that are efficient according to an Lp error criteria. The algorithm is an extension of Burrus' iterative reweighted leastsquares (IRLS) ... 
ADAPTIVE NONLINEAR IMAGE RESTORATION BY A MODIFIED KALMAN FILTERING APPROACH
(1980)An adaptive nonlinear Kalmantype filter is presented in this dissertation for the restoration of twodimensional images degraded by general image formation system degradations and additive white noise. A vector difference ... 
An Adaptive OptimalKernel TimeFrequency Representation
(19951001)Timefrequency representations with fixed windows or kernels figure prominently in many applications, but perform well only for limited classes of signals. Representations with signal dependent kernels can overcome this ... 
Adaptive Representation of JPEG 2000 Images Using Headerbased Processing
(20020920)To bridge the mismatch between the sizes of images and display devices, we present an efficient and automatic algorithm to create an adaptive image representation called SmartNail. Given a digital image and rectangular ... 
Adaptive Wavelet Transforms for Image Coding
(19971101)We introduce a new adaptive transform for waveletbased image coding. The lifting framework for wavelet construction motivates our analysis and provides new insight into the problem. Since the adaptive transform is nonlinear, ... 
Adaptive Wavelet Transforms for Image Coding
(19971101)We introduce a new adaptive transform for waveletbased image coding. The lifting framework for wavelet construction motivates our analysis and provides new insight into the problem. Since the adaptive transform is nonlinear, ... 
Adaptive Wavelet Transforms for Image Coding using Lifting
(19980301)Summary form only given. Image compression relies on efficient representations of images, and within smooth image regions, the wavelet transform provides such a representation. However, near edges, wavelet coefficients ... 
Adaptive Wavelet Transforms via Lifting
(19980501)This paper develops two new adaptive wavelet transforms based on the lifting scheme. The lifting construction exploits a spatialdomain, predictionerror interpretation of the wavelet transform and provides a powerful ... 
Adaptive Wavelet Transforms via Lifting
(19990115)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 ... 
Adaptive Wavelet Transforms via Lifting
(19990501)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 ... 
Adaptive Weighted Highpass Filters Using Multiscale Analysis
(19980701)In this paper, we propose a general framework for studying a class of weighted highpass filters. Our framework, based on a multiscale signal decomposition, allows us to study a wide class of filters and to assess the ... 
Adding Linguistic Constraints to Document Image Decoding: Comparing the Iterated Complete Path and Stack Algorithms
(20010120)Beginning with an observed document image and a model of how the image has been degraded, Document Image Decoding recognizes printed text by attempting to find a most probable path through a hypothesized Markov source. The ... 
Additive and Multiplicative Mixture Trees for Network Traffic Modeling
(20020501)Network traffic exhibits drastically different statistics, ranging from nearly Gaussian marginals and long range dependence at very large time scales to highly nonGaussian marginals and multifractal scaling on small scales. ... 
Algorithms for Optimal Numerical Quadrature Based on Signal Class Models
(19791101)A framework is presented for constructing various types of numerical quadrature algorithms which take into account the apriori known or estimated properties of the signal being processed. This is done by appropriately ... 
Allpass Filter Design and Applications
(19950115)The Problem of allpass filter design for phase approximation and equalization in the Chebyshev sense is solved by using a generalized Remez algorithm. Convergence to the unique optimum is guaranteed and is achieved rapidly ... 
ANALYSIS AND DESIGN OF PERIODICALLY TIMEVARYING DIGITAL FILTERS
(1982)A description of periodically timevarying systems was developed which completely characterizes the relationship between the spectra of the input and output signals of these systems. The description is the bifrequency ... 
Analysis of Multiscale Texture Segmentation using WaveletDomain Hidden Markov Trees
(19991001)This paper describes a technique for estimating the KullbackLeibler (KL) distance between two Hidden Markov Models (HMMs), and for measuring the quality of the estimator. It also provides some results based on applying ... 
Analysis of noise reduction in redundant expansions under distributed processing requirements
(20050301)We considered signal reconstruction with redundant expansions under distributed processing in noisy environments. Redundant expansions have the ability to reduce noise corrupting the coefficients, but distributed processing ... 
Analysis of the DCS onestage Greedy Algorothm for Common Sparse Supports
(20051101)Analysis of the DCS onestage Greedy Algorothm for Common Sparse Supports 
Analysis of Wavelet domain Wiener Filters
(19981001)We investigate Wiener filtering of wavelet coefficients for signal denoising. Empirically designed waveletdomain Wiener filters outperform many other denoising algorithms based on wavelet thresholding. However, up to now, ... 
Analyzing Dynamics and Stimulus Feature Dependence in the Information Processing of Crayfish Sustaining Fibers
(20020420)The sustaining fiber (SF) stage of the crayfish visual system converts analog stimulus representations to spike train signals. A recent theory quantifies a system's information processing capabilities and relates to ... 
Analyzing the robustness of redundant population codes in sensory and feature extraction systems
(20050701)Sensorineural systems often use groups of redundant neurons to represent stimulus information both during transduction and population coding of features. This redundancy makes the system more robust to corruption in the ... 
Application of a Frequency Domain Prony Method to Wide Bandwidth Radar Signature Classification
(19790920)A frequency domain Prony approach is presented for extracting features of return signals from targets illuminated by wide bandwidth (short pulse) radar. Theoretical details pertaining to this approach are described in a ... 
Applications of Adaptive Time Frequency Representations to Underwater Acoustic Signal Processing
(19911101)The authors describe the application of an adaptive optimal kernel (AOK) timefrequency representation to the processing of underwater acoustic data. The optimal kernel is a signaldependent radially Gaussian function. ... 
APPLICATIONS OF MULTIPLICATIVE COMPLEXITY THEORY TO CONVOLUTION AND THE DISCRETE FOURIER TRANSFORM (FAST, COMPUTATIONAL, DIGITAL FILTERING, SIGNAL PROCESSING, ALGORITHMS)
(1986)A review of the theory of multiplicative complexity and its application to common signal processing operations is presented. This review collects results on the multiplicative complexity of polynomial multiplication, ... 
Applications of Terahertz Imaging
(19980801)The recent advances involving imaging with subpicosecond terahertz pulses have opened up a wide range of possibilities in the applications of farinfrared technology. For the first time, a commercially viable terahertz ... 
Approximate continuous wavelet transform with an application to noise reduction
(19980520)We describe a generalized scaleredundant wavelet transform which approximates a dense sampling of the continuous wavelet transform (CWT) in both time and scale. The dyadic scaling requirement of the usual wavelet ... 
Approximation and Compression of Piecewise Smooth Images Using a Wavelet/Wedgelet Geometric Model
(20030901)Inherent to photographlike images are two types of structures: large smooth regions and geometrically smooth edge contours separating those regions. Over the past years, efficient representations and algorithms have been ... 
APPROXIMATION AND DECOMPOSITION OF FUNCTIONS AND DISTRIBUTIONS BASED ON PRONY METHOD
(1980)This dissertation presents certain extensions and applications of the Prony method both in real and complex domains. First, a recursive algorithm for the conventional (time domain) Prony method is developed for finding the ... 
An Architecture for Distributed Wavelet Analysis and Processing in Sensor Networks
(20060401)Distributed wavelet processing within sensor networks holds promise for reducing communication energy and wireless bandwidth usage at sensor nodes. Local collaboration among nodes decorrelates measurements, yielding a ... 
ASIP Architecture for Future Wireless Systems: Flexibility and Customization
(20040601)Efficiency and flexibility are crucial features of the processors in the next generation of wireless cellular systems. Processors need to be efficient in order to satisfy realtime requirements for very demanding algorithms ... 
Asymptotic Performance of Transmit Diversity via OFDM for Multipath Channels
(20021101)Many wireless systems exploit transmit diversity for more reliable detection of signals at the receiver. To accomplish this, coding is spread across multiple transmit antennas. An example of this is the well known "Alamouti ... 
Asymptotic rates of the information transfer ratio
(20020520)Information processing is performed when a system preserves aspects of the input related to what the input represents while it removes other aspects. To describe a system's information processing capability, input and ... 
Automatic Generation of Prime Length FFT Programs
(19960101)We describe a set of programs for circular convolution and prime length FFTs that are short, possess great structure, share many computational procedures, and cover a large variety of lengths. The programs make clear the ... 
Basics of information processing
(20020120)Basic probability theory, statistical signal processing and information theory, and interrelationships among these disciplines form the foundations of a theory of information processing. Examples are drawn from pointprocess ... 
A Bayesian Multiscale Approach to Joint Image Restoration and Edge Detection
(19990720)This paper presents a novel waveletbased method for simultaneous image restoration and edge detection. The Bayesian framework developed here is general enough to treat a wide class of linear inverse problems involving ... 
Bayesian TreeStructured Image Modeling
(20000401)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 ... 
Bayesian TreeStructured Image Modeling using Waveletdomain Hidden Markov Models
(20010701)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 probability density of the wavelet ... 
Bayesian TreeStructured Image Modeling using Waveletdomain Hidden Markov Models
(19990720)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 probability density of the wavelet ... 
Bayesian Wavelet Domain Image Modeling using Hidden Markov Trees
(19991001)Waveletdomain hidden Markov models have proven to be useful tools for statiscal signal and image processing. The hidden Markov tree (HMT) model captures the key features o teh join statistics of the wavelet coefficients ... 
Benefits of DSP Extracurricular Activities: A Look at the Texas Instruments DSP and Analog Challenge
(20020520)This paper describes the benefits associated with student and faculty participation in DSP designrelated activities that fall outside of the usual university course requirements. It will also describe industry's role in ... 
Beyond Time Frequency Analysis: Energy Densities in One and Many Dimensions
(19940401)Given a unitary operator <i>A</i> representing a physical quantity of interest, we employ concepts from group representation theory to define two natural signal energy densities for <i>A</i>. The first is invariant to ... 
Beyond Time Frequency Analysis: Energy Densities in One and Many Dimensions
(19980901)Given a unitary operator A representing a physical quantity of interest, we employ concepts from group representation theory to define two natural signal energy densities for A. The first is invariant to A and proves ... 
Blind Crosstalk Cancellation for DMT Systems
(20020901)As the deployment of broadband communication systems such as DSL continues to grow, system performance in terms of capacity and error rates is severely limited by crosstalk interference. In order to continue deploying high ... 
Blind Quadratic and Time Frequency Based Detectors from Training Data
(19950120)Timefrequency based methods, particularly quadratic (Cohen'sclass) representations, are often considered for detection in applications ranging from sonar to machine monitoring. We propose a method of obtaining nearoptimal ... 
Broadcast Detection Structures with Applications to Sensor Networks
(20060301)Data broadcasting is potentially an effective and efficient way to share information in wireless sensor networks. Broadcasts offer energy savings over multiple, directed transmissions, and they provide a vehicle to exploit ... 
A Canonical Covariance Based Method for Generalized Joint Signal Representations
(19960420)Generalized joint signal representations extend the scope of joint timefrequency representations to a richer class of nonstationary signals. Cohen's marginalbased generalized approach is canonical from a distributional ... 
CAPE  VLSI Implementation of a Systolic Processor Array: Architecture, Design and Testing
(19910620)The SVD is an important matrix decomposition in many realtime signal processing, image processing and robotics applications. Specialpurpose processor arrays can achieve significant speedup over conventioinal architectures ... 
Channel Estimation for Multirate DSCDMA Systems
(20001120)The problem of channel estimation for multiple data rate DirectSequence CodeDivision MultipleAcess (DSCDMA) systems is addressed. The derived algorithms are suitable for both variable chipping rate and/or variable ... 
Coding Theoretic Approach to Image Segmentation
(20010520)Using a coding theoretic approach, we achieve unsupervised image segmentation by implementing Rissanen's concept of Minimum Description Length for estimating piecewise homogeneous regions in images. MDL offers a mathematical ... 
Coding Theoretic Approach to Image Segmentation
(20011020)In this paper, using a coding theoretic approach, we implement Rissanen's concept of minimum description length (MDL) for segmenting an image into piecewise homogeneous regions. Our image model is a Gaussian random field ...