Browsing by Keywords "Digital signal processing"
Now showing items 1-15 of 15
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Adaptive filtering approaches for non-Gaussian stable processes
(IEEE, 1995-05)A large class of physical phenomenon observed in practice exhibit non-Gaussian behavior. In this paper, α-stable distributions, which have heavier tails than Gaussian distribution, are considered to model non-Gaussian ... -
DCT coding of nonrectangularly sampled images
(IEEE, 1994)Discrete cosine transform (DCT) coding is widely used for compression of rectangularly sampled images. In this letter, we address efficient DCT coding of nonrectangularly sampled images. To this effect, we discuss an ... -
Digital computation of the fractional Fourier transform
(Institute of Electrical and Electronics Engineers, 1996-09)An algorithm for efficient and accurate computation of the fractional Fourier transform is given. For signals with time-bandwidth product N, the presented algorithm computes the fractional transform in O(NlogN) time. A ... -
Economic design of EWMA control charts based on loss function
(Elsevier, 2009)For monitoring the stability of a process, various control charts based on exponentially weighted moving average (EWMA) statistics have been proposed in the literature. We study the economic design of EWMA-based mean and ... -
Efficient fast hartley transform algorithms for hypercube-connected multicomputers
(IEEE, 1995)Although fast Hartley transform (FHT) provides efficient spectral analysis of real discrete signals, the literature that addresses the parallelization of FHT is extremely rare. FHT is a real transformation and does not ... -
Fast and accurate linear canonical transform algorithms
(IEEE, 2015)Linear canonical transforms are encountered in many areas of science and engineering. Important transformations such as the fractional Fourier transform and the ordinary Fourier transform are special cases of this transform ... -
Fast computation of the ambiguity function and the Wigner distribution on arbitrary line segments
(IEEE, 2001)By using the fractional Fourier transformation of the time-domain signals, closed-form expressions for the projections of their auto or cross ambiguity functions are derived. Based on a similar formulation for the projections ... -
Linear canonical transforms, degrees of freedom, and sampling in optical signals and systems
(IEEE, 2014)We study the degrees of freedom of optical systems and signals based on space-frequency (phase-space) analysis. At the heart of this study is the relationship of the linear canonical transform domains to the space-frequency ... -
On robust solutions to linear least squares problems affected by data uncertainty and implementation errors with application to stochastic signal modeling
(Elsevier, 2004)Engineering design problems, especially in signal and image processing, give rise to linear least squares problems arising from discretization of some inverse problem. The associated data are typically subject to error in ... -
Optimal filtering in fractional Fourier domains
(IEEE, 1995)The ordinary Fourier transform is suited best for analysis and processing of time-invariant signals and systems. When we are dealing with time-varying signals and systems, filtering in fractional Fourier domains might allow ... -
Optimal representation of non-stationary random fields with finite numbers of samples: A linear MMSE framework
(Elsevier, 2013)In this article we consider the representation of a finite-energy non-stationary random field with a finite number of samples. We pose the problem as an optimal sampling problem where we seek the optimal sampling interval ... -
Proof-of-concept energy-efficient and real-time hemodynamic feature extraction from bioimpedance signals using a mixed-signal field programmable analog array
(IEEE, 2017)We present a mixed-signal system for extracting hemodynamic parameters in real-time from noisy electrical bioimpedance (EBI) measurements in an energy-efficient manner. The proof-of-concept system consists of floating-gate-based ... -
Supervised machine learning algorithm for arrhythmia analysis
(IEEE, 1997)A new machine learning algorithm for the diagnosis of cardiac arrhythmia from standard 12 lead ECG recordings is presented. The algorithm is called VFI5 for Voting Feature Intervals. VFI5 is a supervised and inductive ... -
A synthetic aperture imaging system using surface wave modes
(IEEE, 1995)A synthetic aperture acoustic imaging system with a novel inversion algorithm is described. Data is obtained by using a transducer insonifying the sample surface at a critical angle which is excited by a short electrical ... -
Tracking motion and intensity variations using hierarchical 2-D mesh modeling for synthetic object transfiguration
(1996-11)We propose a method for tracking the motion and intensity variations of a 2-D mildly deformable image object using a hierarchical 2-D mesh model. The proposed method is applied to synthetic object transfiguration, namely, ...
