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CreatorTitleDescriptionSubjectDate
1 Myers, Chris J.Synchronous interlocked pipelinesIn a circuit environment that is becoming increasingly sensitive to dynamic power dissipation and noise, and where cycle time available for control decisions continues to decrease, locality principles are becoming paramount in controlling advancement of data through pipelined systems. Achieving fine...2002
2 Stevens, KennethA low power UART design based on asynchronous techniquesAbstract-Universal Asynchronous Receiver Transmitter (UART) implements serial communication between peripherals and remote embedded systems. The UART protocol is defined based on fixed frequencies with a sampling method to achieve robustness under reasonable frequency variations between systems. Suc...2013-01-01
3 Tasdizen, TolgaEdge enhanced spatio-temporal constrained reconstruction of undersampled dynamic contrast enhanced radial MRIThere are many applications in MRI where it is desirable to have high spatial and high temporal resolution. This can be achieved by undersampling of k-space and requires special techniques for reconstruction. Even if undersampling artifacts are removed, sharpness of the edges can be a problem. We pr...2010
4 Tasdizen, Tolga; Hansen, Charles D.Statistically quantitative volume visualizationVisualization users are increasingly in need of techniques for assessing quantitative uncertainty and error in the images produced. Statistical segmentation algorithms compute these quantitative results, yet volume rendering tools typically produce only qualitative imagery via transfer functionbase...2005
5 Myers, Chris J.An asynchronous implementations of the MAXLIST algorithmABSTRACT We present an efficient asynchronous VLSI architecture for calculating running maximum or minimum values over a sliding window. Running maximums or minimums are very useful for many signal and image processing tasks. Our architecture performs the calculation using the MAXLIST algorithm. In...1997
6 Harrison, Reid R.HermesC: RF wireless low-power neural recording for freely behaving primatesNeural prosthetics for motor systems is a rapidly growing field with the potential to provide treatment for amputees or patients suffering from neurological injury and disease. To determine whether a physically active patient such as an amputee can take advantage of these systems, we seek to devel...HermesC; RF wireless; Low-power; Neural recording; Neural prosthetics; Integrated Neural Interface; Macaques2008-05
7 Tasdizen, TolgaAlgebraic curves that work betterAn algebraic curve is defined as the zero set of a polynomial in two variables. Algebraic curves are practical for modeling shapes much more complicated than conics or superquadrics. The main drawback in representing shapes by algebraic curves has been the lack of repeatability in fitting algebraic...1999
8 Tasdizen, Tolga; Awate, Suyash P.; Whitaker, Ross T.Model-based image reconstruction for dynamic cardiac perfusion MRI from sparse dataThe paper presents a novel approach for dynamic magnetic resonance imaging (MRI) cardiac perfusion image reconstruction from sparse k-space data. It formulates the reconstruction problem in an inverse-methods setting. Relevant prior information is incorporated via a parametric model for the perfusi...2006
9 Harrison, Reid R.Power, clock, and data recovery in a wireless neural recording deviceFor many medical applications, neural recording systems should be fully implantable. Transcutaneous wires must be compleley eliminated, and this necessitates the wireless transfer of power, clock and configuration data to the device. We have developed, fabricated, and tested cirucits that recover po...2006
10 Tasdizen, TolgaPIMs and invariant parts for shape recognitionWe present completely new very powerful solutions t o two fundamental problems central to computer vision. 1. Given data sets representing C objects to be stored in a database, and given a new data set for an object, determine the object in the database that is most like the object measured. We so...1997
11 Myers, Chris J.Learning genetic regulatory network connectivity from time series dataAbstract. Recent experimental advances facilitate the collection of time series data that indicate which genes in a cell are expressed. This paper proposes an efficient method to generate the genetic regulatory network inferred from time series data. Our method fi_x000C_rst encodes the data into le...2006
12 Myers, Chris J.Learning genetic regulatory network connectivity from time series dataAbstract-Recent experimental advances facilitate the collection of time series data that indicate which genes in a cell are expressed. This information can be used to understand the genetic regulatory network that generates the data. Typically, Bayesian analysis approaches are applied which neglect ...2011
13 Stevens, KennethEnergy and performance models for synchronous and asynchronous communicationCommunication costs, which have the potential to throttle design performance as scaling continues, are mathematically modeled and compared for various pipeline methodologies. First-order models are created for common pipeline protocols, including clocked flopped, clocked time-borrowing latch, async...2010
14 Tasdizen, Tolga; Whitaker, Ross T.Improving undersampled MRI reconstruction using non-local meansObtaining high quality images in MR is desirable not only for accurate visual assessment but also for automatic processing to extract clinically relevant parameters. Filtering-based techniques are extremely useful for reducing artifacts caused due to undersampling of k-space (to reduce scan time...2010
15 Tasdizen, TolgaImproving the stability of algebraic curves for applicationsAn algebraic curve is defined as the zero set of a polynomial in two variables. Algebraic curves are practical for modeling shapes much more complicated than conics or superquadrics. The main drawback in representing shapes by algebraic curves has been the lack of repeatability in fitting algebraic...2000
16 Tasdizen, TolgaFast semi-supervised image segmentation by novelty selectionThe goal of semi-supervised image segmentation is to obtain the segmentation from a partially labeled image. By utilizing the image manifold structure in labeled and unlabeled pixels, semi-supervised methods propagate the user labeling to the unlabeled data, thus minimizing the need for user labelin...2010
17 Furse, Cynthia M.Utah's engineers: a statewide initiative for growthImagine finding a place where inventors gather to create their inventions. Envision getting a sneak peek at the latest technological innovations in engineering and computer science. Can you see yourself as an inventor? Join us on February 20 for Meet an Inventor Day sponsored by the students of...2010-10-06
18 Harrison, Reid R.;Normann, Richard A.Low-power integrated circuit for a wireless 100-electrode neural recording systemIn the past decade, neuroscientists and clinicians have begun to use implantable MEMS multielectrode arrays (e.g., [1]) to observe the simultaneous activity of many neurons in the brain. By observing the action potentials, or "spikes," of many neurons in a localized region of the brain it is possibl...Electrode; Multielectrode arrays (MEA); Neural recording; Low-power circuits; Wireless2006-01-01
19 Furse, Cynthia M.Women in engineering: statistical analysis of ACT data and proposed procedure to reverse trendWomen have historically been underrepresented both in college majors and professional careers in STEM fields. This disparity can be observed in many countries, though it is most evident in the US. In this paper we analyze historical ACT data over a 30-year span and correlate gender differences ...2011
20 Harrison, Reid R.;Normann, Richard A.Low-power integrated circuit for a wireless 100-electrode neural recording systemIn the past decade, neuroscientists and clinicians have begun to use implantable MEMS multielectrode arrays (e.g., [1]) to observe the simultaneous activity of many neurons in the brain. By observing the action potentials, or "spikes," of many neurons in a localized region of the brain it is possibl...Neural recording system; Utah Microelectrode Array; Integrated neural interface2007
21 Harrison, Reid R.;Normann, Richard A.Design and testing of an integrated circuit for multi-electrode neural recordingWe have developed a single-chip neural recording system with wireless power delivery and telemetry. The 0.5-μm CMOS IC is designed to be bonded to the back of a 100-channel Utah Electrode Array. A pad near each amplifier allows connection of the chip to the MEMS electrode array. The complete Integr...recording; Neural recording; Utah Electrode Array; Multielectrode arrays (MEA); Telemetry; Spike detectors; Wireless2007-01
22 Harrison, Reid R.Validation of adaptive threshold spike detector for neural recordingWe compare the performance of algorithms for automatic spike detection in neural recording applications. Each algorithm sets a threshold based on an estimate of the background noise level. The adaptive spike detection algorithm is suitable for implementation in analog VLSI; results from a proof-of-...Spike detection; Neural recording; Ation potential; VLSI2004-01-01
23 Harrison, Reid R.Signal amplification, detection and transmission in a wireless 100-electrode neural recording systemWe are developing a fully-implantable neural recording system with wireless power and data transfer. As part of this system, we have developed a low-power integrated circuit that performs power rectification and and regulation, reception of configuration data, neural signal amplification and filt...2006
24 Furse, Cynthia M.Measured multi-user MIMO capacity in AircraftThe multipath richness typical of aircraft channels represents a potentially well-suited environment for multi-user multiple-input multiple-output technology (MU-MIMO). This paper presents results from measurements of the achievable MU-MIMO data rates in a Rockwell T-39 Sabreliner, using an open-so...2010
25 Mathews, V. JohnA baseband residual vector quantization algorithm for voiceband data signalsAbstract-In this paper, we present a new approach to the digitization and compression of a class of voiceband modem signals. Our approach, which we call baseband residual vector quantization (BRVQ), relies heavily upon the simple structure present in a modem signal. After the signal is converted to...1989
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