signal processing ieee papers
Splines: A perfect fit for signal and image processing
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a general mechanism for switching between the continuous and discrete signal domains is one of the fundamental issues in signal processing . It is a question that arises naturally during the acquisition process where an analog signal or image is to be converted
Two Decades of llrray Signal Processing Research
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HAMID KRIM and MATS VIBERG stimation problems in theoretical as well as applied Estatistics have long been of great research interest given their importance in a great variety of applications. Parameter estimation has particularly been an area of focus by applied
Genomic signal processing
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Reproduced by permission of Routledge, Inc., part of The Taylor Francis Group). probably receive a Nobel prize), we do know that nearly all proteins in the living cell are uniquely determined by these sequences. Therefore, the amino acid character strings determine the
Wavelets and signal processing
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Yavelet theory provides a unified framework for a number of techniques which had been developed independently for various signal processing applications. For example, multiresolution signal processing , used in computer vision; subband coding, developed for
Deep learning and its applications to signal and information processing [exploratory dsp]
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IEEE SIGNAL PROCESSING MAGAZINE [146] JANUARY 2011 [exploratory DSP] continued alleviated when a reasonably efficient, unsupervised learning algorithm was introduced in 2006 by Hinton et al. for a class of deep generative models that they called deep belief
A new approach to layered space-time coding and signal processing
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The information-theoretic capacity of multiple an-tenna systems was shown to be significantly higher than that of single antenna systems in Rayleigh-fading channels. In an attempt to realize this capacity, Foschini proposed the layered space time architecture. This
The bootstrap and its application in signal processing
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We consider the problem of estimating an aircrafts constant height, velocity, range, and acoustic frequency based on a single acoustic recording of the aircraft passing overhead. Information about these physical parameters is contained in the phase-and time-varying
Time Frequency andWavelets in Biomedical Signal Processing
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In the process of hearing, sound waves travel to the eardrum (tympanic membrane) through the external ear and ear canal. The sound pressure acting on the tympanic membrane produces mechanical vibrations that are transmitted, via the ossicular chain in the middle
Big data analysis with signal processing on graphs
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Analysis and processing of very large datasets, or Big Data, poses a significant challenge. Massive datasets are collected and studied in numerous domains, from engineering sciences to social networks, biomolecular research, commerce and security. Extracting In the past, most digital signal processing has re- quired that digitized signals be recorded and then processed off-line on general-purpose computers. In many cases, however, on-line, real-time, and therefore very fast processing is required if digital techniques are to successfully
Design considerations in state-of-the-art signal processing and phase noise measurement systems
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Introduction improvement of oscillator phase significantly more stringent rewhere S isthe P, is tRe power noise, the most hand1 i ng equipment. However, information concerninq the phase noise performance of the spectral density of the noise power and available to a
Technology and signal processing for brain-machine interfaces
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IEEE SIGNAL PROCESSING MAGAZINE [30] JANUARY 2008 IEEE SIGNAL PROCESSING MAGAZINE [30] JANUARY 2008 system, muscles) using an engineered interface comes at the high price of beyond state-of-the-art technology. Today, engineers and neuroscientists
Noninvasive acoustical detection of coronary artery disease: a comparative study of signal processing methods
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Previous studies have indicated heart sounds may contain information useful in the detection of occluded coronary arteries -[12]. During diastole, coronary blood flow is maximum, and the sounds associated with turbulent blood flow through partially occluded
Recent developments in signal processing for digital hearing aids
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A also prevent the hearing-aid compression amplification from reaching the desirable gains for compensating for the loudness loss. Hearing aids with traditional methods to reduce feedback mainly consist of a microphone, the physical feedback path, the core hearing-aid
Digital signal processing for light emitting diode based visible light communication
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The realization of enhanced efficiency light emitting diodes (LED) and the trend to lower costs of LED lighting systems will facilitate their wider deployment in many applications. LED lighting system with the value-added functionality of optical wireless communication enables
Flipping signal – processing instruction [sp education]
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IEEE SIGNAL PROCESSING MAGAZINE [146] NOVEMBER 2013 planned exercise even after 90 min, despite the scheduled class time of 75 min. A significant number of students arrived early and stayed for the entire 2 h I reserved the WisCEL facility. The students were
Current trends in joint audio-video signal processing : A review
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Multimodal signal processing has gained a lot of significance in recent years due to advances in computer technology as well as more sophisticated sensors being available. One example is the joint processing of audio and video signals in a variety of applications Manuscripts: For purposes of qualifying for peer review and consideration for publication, authors must submit a properly executed copyright form in favor of IEEE and seven copies of the manuscript, which may not exceed 30 double-spaced pages (one full blank line between
An optical-fiber sensor for use in water systems utilizing digital signal processing techniques and artificial neural network pattern recognition
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An optical-fiber sensor is reported which is capable of detecting ethanol in water. A single optical-fiber sensor was incorporated into a 1-km length of 62.5-m core diameter polymer- clad silica optical fiber. In order to maximize sensitivity, a U-bend configuration was used for
Applications of neural networks to medical signal processing
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Ab st rac t T herecent progress in neural networks (NN) opens a vast field of opportunities to the processing of medical signals and images. The particular attraction of NN for such applications lies in the nonlinear and often non-analytical nature of biological signals. To