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Electrical and Computer Engineering Faculty Research & Creative Works

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Full-Text Articles in Engineering

A Fault Prediction Scheme For Takagi-Sugeno Fuzzy Systems With Immeasurable Premise Variables And Disturbance, Balaje T. Thumati, Jagannathan Sarangapani Jan 2014

A Fault Prediction Scheme For Takagi-Sugeno Fuzzy Systems With Immeasurable Premise Variables And Disturbance, Balaje T. Thumati, Jagannathan Sarangapani

Electrical and Computer Engineering Faculty Research & Creative Works

As explained in the literature, it is very hard to measure premise variables of a Takagi-Sugeno (TS) fuzzy system. Therefore, in this paper, a fault detection and prediction (FDP) scheme is designed for a class of TS fuzzy systems with immeasurable (unknown) premise variables and external disturbances. A fault detection (FD) observer is designed to approximate the system output and the premise variables. Subsequently, a FD residual is generated by comparing the observer output with respect to the system output. The FD residual is evaluated to detect any faults in the system. Further, time-to-failure (TTF) of the TS fuzzy system …

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Phasor Measurement Unit Placement For Identifying Power Line Outages In Wide-Area Transmission System Monitoring, Hao Zhu, Yiyu Shi Jan 2014

Phasor Measurement Unit Placement For Identifying Power Line Outages In Wide-Area Transmission System Monitoring, Hao Zhu, Yiyu Shi

Electrical and Computer Engineering Faculty Research & Creative Works

Phasor measurement units (PMUs) are widely recognized to be instrumental for enhancing the power system situational awareness - a key step toward the future power grid. With limited PMU resources and high installation costs, it is of great importance to develop strategic PMU deployment methods. This paper focuses on optimally selecting PMU locations for monitoring transmission line status across the wide-area grid. To bypass the combinatorial search involved, a linear programming reformulation is first developed to provide an upper bound estimate for the global optimum. Furthermore, a greedy heuristic method is adopted with the complexity only linearly in the number …

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Indoor Positioning System Using Geo-Magnetic Field, Abhinav Saxena, Maciej Zawodniok Jan 2014

Indoor Positioning System Using Geo-Magnetic Field, Abhinav Saxena, Maciej Zawodniok

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper we address the problem of non-Adversarial co-operative localization using the Earth's ambient magnetic field. We demonstrate the feasibility of using magnetic field to perform localization and tracking. A three-Axis magnetic field sensor is employed to locate and track a target. The algorithm estimates the position using the magnitude of the current magnetic field readings. Our technique depends on the local distortions in the Earth's magnetic field created by presence of various magnetic or metallic objects in the local workspace. These objects may be manmade or naturally occurring. The magnetic field data corresponding to known locations is stored …

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Localization And Tracking Of Objects Using Cross-Correlation Of Shadow Fading Noise, M. R. Basheer, S. Jagannathan Jan 2014

Localization And Tracking Of Objects Using Cross-Correlation Of Shadow Fading Noise, M. R. Basheer, S. Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

Multipath and shadow fading are the primary cause for positioning errors in a Received Signal Strength Indicator (RSSI) based localization scheme. While fading, in general, is detrimental to localization accuracy, cross-correlation and divergence properties of shadow fading residuals may be utilized to improve localization and tracking accuracy of mobile IEEE 802.15.4 transmitters. Therefore, this paper begins by presenting a stochastic filter that models the fast-changing multipath fading as a mean reverting Ornstein-Uhlenbeck (OU) process followed by a Generalized Auto Regressive Conditional Heteroskedasticity (GARCH) filtering to isolate the slow changing shadow fading residuals from measured RSSI values. Subsequently, a novel wireless …

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Multibit Retention Registers For Power Gated Designs: Concept, Design, And Deployment, Yu Guang Chen, Hui Geng, Kuan Yu Lai, Yiyu Shi, Shih Chieh Chang Jan 2014

Multibit Retention Registers For Power Gated Designs: Concept, Design, And Deployment, Yu Guang Chen, Hui Geng, Kuan Yu Lai, Yiyu Shi, Shih Chieh Chang

Electrical and Computer Engineering Faculty Research & Creative Works

Retention registers have been widely used in power gated designs to store data during sleep mode. However, their excessive area and leakage power render it imperative to minimize the total retention storage size. The current industry practice replaces all registers with single bit retention ones, which significantly limits the design freedom and yields suboptimal designs. Toward this, for the first time in the literature, we propose the concept and the design of multibit retention registers, with which only selected registers need to be replaced. The technique can significantly reduce the number of bits that need to be stored and thus …

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Yield And Timing Constrained Spare Tsv Assignment For Three-Dimensional Integrated Circuits, Yu Guang Chen, Kuan Yu Lai, Ming Chao Lee, Yiyu Shi, Wing Kai Hon Jan 2014

Yield And Timing Constrained Spare Tsv Assignment For Three-Dimensional Integrated Circuits, Yu Guang Chen, Kuan Yu Lai, Ming Chao Lee, Yiyu Shi, Wing Kai Hon

Electrical and Computer Engineering Faculty Research & Creative Works

Through Silicon Via (TSV) is a critical enabling technique in three-dimensional integrated circuits (3D ICs). However, it may suffer from many reliability issues. Various fault-tolerance mechanisms have been proposed in literature to improve yield, at the cost of significant area overhead. In this paper, we focus on the structure that uses one spare TSV for a group of original TSVs and study the optimal assignment of spare TSVs under yield and timing constraints to minimize the total area overhead. We show that such problem can be modeled through constrained graph decomposition. An efficient heuristic is further developed to address this …

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Monolithic Three-Dimensional Integrated Circuits: Process And Design Implications, Hui Geng, Luke Maresca, Brian Cronquist, Zvi Or-Bach, Yiyu Shi Jan 2014

Monolithic Three-Dimensional Integrated Circuits: Process And Design Implications, Hui Geng, Luke Maresca, Brian Cronquist, Zvi Or-Bach, Yiyu Shi

Electrical and Computer Engineering Faculty Research & Creative Works

Conventional three-dimensional integrated circuits (3D ICs) stack multiple dies vertically for higher integration density, shorter wirelength, smaller footprint, faster speed and lower power consumption. However, the through-silicon-vias (TSVs) in die stacking based 3D ICs are large in size (>1um) and reduce the benefits that can be attained by the technology. In this paper, we will introduce a new fabrication process that facilitates monolithic 3D die integration and yields much smaller TSVs (~50 nm). We will also discuss various design benefits brought by the monolithic 3D IC technology.

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Linear Mimo Precoding In Jointly-Correlated Fading Multiple Access Channels With Finite Alphabet Signaling, Yongpeng Wu, Chao Kai Wen, Chengshan Xiao, Xiqi Gao, Robert Schober Jan 2014

Linear Mimo Precoding In Jointly-Correlated Fading Multiple Access Channels With Finite Alphabet Signaling, Yongpeng Wu, Chao Kai Wen, Chengshan Xiao, Xiqi Gao, Robert Schober

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, we investigate the design of linear precoders for multiple-input multiple-output (MIMO) multiple access channels (MAC). We assume that statistical channel state information (CSI) is available at the transmitters and consider the problem under the practical finite alphabet input assumption. First, we derive an asymptotic (in the large-system limit) weighted sum rate (WSR) expression for the MIMO MAC with finite alphabet inputs and general jointly correlated fading. Subsequently, we obtain necessary conditions for linear precoders maximizing the asymptotic WSR and propose an iterative algorithm for determining the precoders of all users. In the proposed algorithm, the search space …

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Near Optimal Boundary Control Of Distributed Parameter Systems Modeled As Parabolic Pdes By Using Finite Difference Neural Network Approximation, Behzad Talaei, Hao Xu, S. Jagannathan Jan 2014

Near Optimal Boundary Control Of Distributed Parameter Systems Modeled As Parabolic Pdes By Using Finite Difference Neural Network Approximation, Behzad Talaei, Hao Xu, S. Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

This paper develops a novel neural network (NN) based near optimal boundary control scheme for distributed parameter systems (DPS) governed by semi linear parabolic partial differential equations (PDE) in the presence of control constraints and unknown system dynamics. First, finite difference method (FDM) is utilized to develop a reduced order system which represents the discretized dynamics of PDE system. Subsequently, a near optimal control scheme is proposed for the discretized system by using NN based approximate dynamic programming (ADP). To relax the requirement of system dynamics, a NN identifier is utilized. Moreover, a second NN is proposed to estimate a …

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Extremum-Seeking For Nonlinear Discrete-Time Systems With Application To Hcci Engines, H. Zargarzadeh, S. Jagannathan, J. A. Drallmeier Jan 2014

Extremum-Seeking For Nonlinear Discrete-Time Systems With Application To Hcci Engines, H. Zargarzadeh, S. Jagannathan, J. A. Drallmeier

Electrical and Computer Engineering Faculty Research & Creative Works

For many control applications, identifying an optimal operating point by maximizing/minimizing a performance function is important. This paper applies the extremum-seeking method to nonaffine, nonlinear discrete-time systems stabilized by an optimal adaptive controller. First, a novel averaging method is used for the nonlinear discrete-time systems to show that their output unique extrema are stable equilibrium points. Then, a singular perturbation method in discrete time is employed to show that the overall closed loop system will dynamically converge to the extremum. The applicability of this scheme is numerically verified on a Homogeneous Charge Compression Ignition (HCCI) model validated experimentally and expressed …

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A Model-Based Fault Detection And Prognostics Scheme For Takagi-Sugeno Fuzzy Systems, Balaje T. Thumati, Miles A. Feinstein, S. Jagannathan Jan 2014

A Model-Based Fault Detection And Prognostics Scheme For Takagi-Sugeno Fuzzy Systems, Balaje T. Thumati, Miles A. Feinstein, S. Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, a novel model-based fault detection (FD) and prediction scheme is developed for a class of Takagi-Sugeno (T-S) fuzzy systems. Unlike other FD schemes, in the proposed design, an FD observer with online fault learning capability is utilized to generate a residual which is obtained by comparing the system output with respect to the observer output. A fault is declared active if the generated residual exceeds an a priori chosen threshold. Subsequently, the fault magnitude is estimated online by using a suitable parameter update law. Upon detection, the online estimate of the fault magnitude is used in a …

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Ambiguity Group Based Location Recognition For Multiple Power Line Outages In Smart Grids, Jie Wu, Jinjun Xiong, Yiyu Shi Jan 2014

Ambiguity Group Based Location Recognition For Multiple Power Line Outages In Smart Grids, Jie Wu, Jinjun Xiong, Yiyu Shi

Electrical and Computer Engineering Faculty Research & Creative Works

The efficient location recognition of multiple outage lines is critical to not only cascading failure elimination but also repair cost reduction. Most of existing methods, however, fail to handle location recognition well. This failure typically occurs because the methods cannot overcome three challenges: the very limited number of Phasor Measurement Units (PMUs), the high computational complexity, and the possibility of concurrent multiple outage lines. This paper presents an efficient algorithm inspired by the ambiguity group theory to recognize the most likely outage line locations with limited PMUs. Using IEEE 14-, 57-, and 118-bus system, the experimental study demonstrates that the …

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Soft-Decision Feedback Turbo Equalization For Ldpc-Coded Mimo Underwater Acoustic Communications, Amirhossein Rafati, Huang Lou, Chengshan Xiao Jan 2014

Soft-Decision Feedback Turbo Equalization For Ldpc-Coded Mimo Underwater Acoustic Communications, Amirhossein Rafati, Huang Lou, Chengshan Xiao

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, a low-complexity turbo-detection scheme is proposed for single-carrier multiple-input-multiple-output (MIMO) underwater acoustic (UWA) communication systems that employ low-density parity-check (LDPC) channel coding. The proposed iterative soft-decision feedback equalization (SDFE) algorithm offers a novel approach to combat error propagation by utilizing the past soft decisions to mitigate InterSymbol interference. In addition, we utilize an iterative data detection and channel estimation scheme to reduce the pilot overhead used in the data communication system. Performance of the proposed detection scheme is demonstrated through extensive communication data from two undersea experiments. The results show that the proposed SDFE algorithm provides robust …

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Low Complexity Detection Algorithm For Under-Determined Mimo Systems, Chen Qian, Jingxian Wu, Yahong Rosa Zheng, Zhaocheng Wang Jan 2014

Low Complexity Detection Algorithm For Under-Determined Mimo Systems, Chen Qian, Jingxian Wu, Yahong Rosa Zheng, Zhaocheng Wang

Electrical and Computer Engineering Faculty Research & Creative Works

A low complexity detection algorithm based on list sphere decoding (LSD) is proposed for under-determined multiple-input multiple-output (UD-MIMO) systems with N transmit antennas and M < N receive antennas. The proposed algorithm utilizes the unique structure of UD-MIMO systems by dividing the N detection layers into two groups. Group 1 contains layers 1 to M that have similar structures as a symmetric MIMO system; while Group 2 contains layers M + 1 to N that contribute to the rank deficiency of the channel Gram matrix. Tree search algorithms are used for both groups, but with different search radii. A new method is proposed to adaptively adjust the tree search radius of Group 2 based on the statistical properties of the received signals. The employment of the adaptive tree search can significantly reduce the computational complexity. Simulation results show that the proposed algorithm can reduce the complexity by one orders of magnitude with less than 0.01 dB degradation in the Bit-Error-Rate (BER) performance. © 2014 IEEE.

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Neural Network-Based Finite-Horizon Approximately Optimal Control Of Uncertain Affine Nonlinear Continuous-Time Systems, Hao Xu, Qiming Zhao, Travis Dierks, S. Jagannathan Jan 2014

Neural Network-Based Finite-Horizon Approximately Optimal Control Of Uncertain Affine Nonlinear Continuous-Time Systems, Hao Xu, Qiming Zhao, Travis Dierks, S. Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

This paper develops a novel neural network (NN) based finite-horizon approximate optimal control of nonlinear continuous-time systems in affine form when the system dynamics are complete unknown. First an online NN identifier is proposed to learn the dynamics of the nonlinear continuous-time system. Subsequently, a second NN is utilized to learn the time-varying solution, or referred to as value function, of the Hamilton-Jacobi-Bellman (HJB) equation in an online and forward in time manner. Then, by using the estimated time-varying value function from the second NN and control coefficient matrix from the NN identifier, an approximate optimal control input is computed. …

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A Static Voltage Security Region For Centralized Wind Power Integration-Part I: Concept And Method, Tao Ding, Qinglai Guo, Rui Bo, Hongbin Sun, Boming Zhang Jan 2014

A Static Voltage Security Region For Centralized Wind Power Integration-Part I: Concept And Method, Tao Ding, Qinglai Guo, Rui Bo, Hongbin Sun, Boming Zhang

Electrical and Computer Engineering Faculty Research & Creative Works

When large wind farms are centrally integrated in a power grid, cascading tripping faults induced by voltage issues are becoming a great challenge. This paper therefore proposes a concept of static voltage security region to guarantee that the voltage will remain within operation limits under both base conditions and N-1 contingencies. For large wind farms, significant computational effort is required to calculate the exact boundary of the proposed security region. To reduce this computational burden and facilitate the overall analysis, the characteristics of the security region are first analyzed, and its boundary components are shown to be strictly convex. Approximate …

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Blackbox Macro-Modeling Of The Nonlinearity Based On Volterra Series Representation Of X-Parameters, Xiaoyan Y.Z. Xiong, Li (Lijun) J. Jiang, José E. Schutt-Ainé, Weng Cho Chew Jan 2014

Blackbox Macro-Modeling Of The Nonlinearity Based On Volterra Series Representation Of X-Parameters, Xiaoyan Y.Z. Xiong, Li (Lijun) J. Jiang, José E. Schutt-Ainé, Weng Cho Chew

Electrical and Computer Engineering Faculty Research & Creative Works

Volterra series representation is a powerful mathematical model for nonlinear devices. However, the difficulties in determining higher-order Volterra kernels limited its broader applications. This paper proposed a systematic approach that enables a convenient extraction of Volterra kernels from X-parameters for the first time. Then the Vandermonde method is employed to separate different orders of Volterra kernels at the same frequency, which leads to a highly efficient extraction process. The proposed Volterra series representation based on X-parameters is further benchmarked for verification. The proposed new algorithm is very useful for the blackbox macro-modeling of nonlinear devices and systems.

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A Hybrid Time-Domain Discontinuous Galerkin-Boundary Integral Method For Electromagnetic Scattering Analysis, Ping Li, Yifei Shi, Li (Lijun) Jun Jiang, Hakan Baǧci Jan 2014

A Hybrid Time-Domain Discontinuous Galerkin-Boundary Integral Method For Electromagnetic Scattering Analysis, Ping Li, Yifei Shi, Li (Lijun) Jun Jiang, Hakan Baǧci

Electrical and Computer Engineering Faculty Research & Creative Works

A scheme hybridizing discontinuous Galerkin time-domain (DGTD) and time-domain boundary integral (TDBI) methods for accurately analyzing transient electromagnetic scattering is proposed. Radiation condition is enforced using the numerical flux on the truncation boundary. The fields required by the flux are computed using the TDBI from equivalent currents introduced on a Huygens' surface enclosing the scatterer. The hybrid DGTDBI ensures that the radiation condition is mathematically exact and the resulting computation domain is as small as possible since the truncation boundary conforms to scatterer's shape and is located very close to its surface. Locally truncated domains can also be defined around …

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Magnetoelectric Dipole Antenna Arrays, Shulabh Gupta, Li (Lijun) Jun Jiang, Christophe Caloz Jan 2014

Magnetoelectric Dipole Antenna Arrays, Shulabh Gupta, Li (Lijun) Jun Jiang, Christophe Caloz

Electrical and Computer Engineering Faculty Research & Creative Works

A planar magnetoelectric (ME) dipole antenna array is proposed and demonstrated by both full-wave analysis and experiments. The proposed structure leverages the operation of composite right/left-handed transmission lines under balanced conditions to form high-gain magnetic radiators, combined with radial conventional electric radiators, where the overall structure is excited by a single differential feed. The traveling-wave-type nature of the proposed ME-dipole antenna enables the formation of directive arrays with high-gain characteristics and scanning capability. Peak gains of 10.84 dB and 5.73 dB are demonstrated for the electric dipole and magnetic-dipole radiation components, respectively. © 1963-2012 IEEE.

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Cosimulation Of Electromagnetics-Circuit Systems Exploiting Dgtd And Mna, Ping Li, Li (Lijun) Jun Jiang, Hakan Bagci Jan 2014

Cosimulation Of Electromagnetics-Circuit Systems Exploiting Dgtd And Mna, Ping Li, Li (Lijun) Jun Jiang, Hakan Bagci

Electrical and Computer Engineering Faculty Research & Creative Works

A hybrid electromagnetics (EM)-circuit simulator exploiting the discontinuous Galerkin time domain (DGTD) method and the modified nodal analysis (MNA) algorithm is developed for analyzing hybrid distributive and nonlinear multiport lumped circuit systems. The computational domain is split into two subsystems. One is the EM subsystem that is analyzed by DGTD, while the other is the circuit subsystem that is solved by the MNA method. The coupling between the EM and circuit subsystems is enforced at the lumped port where related field and circuit unknowns are coupled via the use of numerical flux, port voltages, and current sources. Since the spatial …

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Helmholtz Decomposition Based On Integral Equation Method For Electromagnetic Analysis, Xiaoyan Y.Z. Xiong, Wei E.I. Sha, Li (Lijun) Jun Jiang Jan 2014

Helmholtz Decomposition Based On Integral Equation Method For Electromagnetic Analysis, Xiaoyan Y.Z. Xiong, Wei E.I. Sha, Li (Lijun) Jun Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

Helmholtz decomposition (HD) is a vector analysis fundamental tool and plays an important role in electromagnetics (EM) and microwave engineering. Instead of applying HD to the EM solving process, this article proposes an integral equation based rigorous HD process to extract and analyze the known EM field. It provides much clearer insight into field coupling and radiation mechanism that is valuable to electromagnetic interference (EMI) and electromagnetic compatibility (EMC) analysis. Compared to the loop-tree based decomposition that is a quasi-HD, the proposed method is rigorous and frequency-independent. The algorithm verification and its application to coupling and resonating problems are presented. …

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Microcavity Strain Sensor For High Temperature Applications, Amardeep Kaur, Steve Eugene Watkins, Jie Huang, Lei Yuan, Hai Xiao Jan 2014

Microcavity Strain Sensor For High Temperature Applications, Amardeep Kaur, Steve Eugene Watkins, Jie Huang, Lei Yuan, Hai Xiao

Electrical and Computer Engineering Faculty Research & Creative Works

A microcavity extrinsic Fabry-Perot interferometric (EFPI) fiber-optic sensor is presented for measurement of strain. The EFPI sensor is fabricated by micromachining a cavity on the tip of a standard single-mode fiber with a femtosecond (fs) laser and is then self-enclosed by fusion splicing another piece of single-mode fiber. The fs-laser-based fabrication makes the sensor thermally stable to sustain temperatures as high as 800°C. The sensor exhibits linear performance for a range up to 3700 µε and a low temperature sensitivity of only 0.59 pm/°C through 800°C.

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Casimir Force For Complex Objects Using Domain Decomposition Techniques, Phillip R. Atkins, Weng Cho Chew, Mao Kun Li, Lin E. Sun, Zu Hui Ma, Li (Lijun) Jun Jiang Jan 2014

Casimir Force For Complex Objects Using Domain Decomposition Techniques, Phillip R. Atkins, Weng Cho Chew, Mao Kun Li, Lin E. Sun, Zu Hui Ma, Li (Lijun) Jun Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

A method for calculating the Casimir force between large, complex 3D objects is presented. Difficulties have previously arisen in broadband multiscale calculation using CEM methods. To expand the range of problems that can be calculated, we use an integral equation, domain decomposition method (DDM) and argument principle to derive the Casimir force formula. The broadband integral equation DDM, which is the augmented equivalence principle algorithm (A-EPA), allows for an efficient broadband solution of large, complex objects. A-EPA subdivides a complex problem into separate smaller subproblems that are later recombined into a reduced matrix. This yields a reduced number of unknowns …

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Traveling-Wave Antennas With Exotic Radiation Patterns, S. Gupta, C. Caloz, L. (Lijun) J. Jiang Jan 2014

Traveling-Wave Antennas With Exotic Radiation Patterns, S. Gupta, C. Caloz, L. (Lijun) J. Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

Two type of planar leaky-wave antennas are presented which are capable of providing combined electric and magnetic-dipole radiation responses from a single electromagnetic structure, leading to exotic radiation pattern characteristics. Their principle and radiation characteristics are discussed in details.

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Network Resilience Improvement Using Link Additions, Mohammed J. F. Alenazi, Egemen K. Çetinkaya, James P. G. Sterbenz Jan 2014

Network Resilience Improvement Using Link Additions, Mohammed J. F. Alenazi, Egemen K. Çetinkaya, James P. G. Sterbenz

Electrical and Computer Engineering Faculty Research & Creative Works

No abstract provided.

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Electromagnetic Cell With Three-Dimensional Polarization Dynamic Control, Bo O. Zhu, Weng Cho Chew, Lijun Jiang Jan 2014

Electromagnetic Cell With Three-Dimensional Polarization Dynamic Control, Bo O. Zhu, Weng Cho Chew, Lijun Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

An electromagnetic (EM) cell is demonstrated to create the uniform electric field with 3-D polarization dynamic control for the EM compatibility/ interference (EMC/EMI) testing. We utilize 3-D orthogonal slotline structures to build the walls of the EM cell and produce uniform electric field inside the cell by feeding the slotlines in phase and terminating them with matching loads. The uniform electric field is similar to a standing wave produced by the slotline modes propagating in opposite directions. Microwave switches are integrated into the slotlines so that we can choose the operating slotline dynamically and change its orientation in a 3-D …

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Adaptive Resonance Theory And Diffusion Maps For Clustering Applications In Pattern Analysis, Donald C. Wunsch, David J. Morris, Rui Xu Jan 2014

Adaptive Resonance Theory And Diffusion Maps For Clustering Applications In Pattern Analysis, Donald C. Wunsch, David J. Morris, Rui Xu

Electrical and Computer Engineering Faculty Research & Creative Works

Adaptive Resonance is primarily a theory that learning is regulated by resonance phenomena in neural circuits. Diffusion maps are a class of kernel methods on edge-weighted graphs. While either of these approaches have demonstrated success in image analysis, their combination is particularly effective. These techniques are reviewed and some example applications are given.

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Hybrid-Cascade Coupled-Line Phasers For High-Resolution Radio-Analog Signal Processing, Thomas Paradis, Shulabh Gupta, Qingfeng Zhang, Li (Lijun) J. Jiang, Christophe Caloz Jan 2014

Hybrid-Cascade Coupled-Line Phasers For High-Resolution Radio-Analog Signal Processing, Thomas Paradis, Shulabh Gupta, Qingfeng Zhang, Li (Lijun) J. Jiang, Christophe Caloz

Electrical and Computer Engineering Faculty Research & Creative Works

A hybrid-cascade (HC) coupled-line phaser configuration is presented to synthesize enhanced group delay responses for high-resolution radio-analog signal processing. Using exact analytical transfer functions, the superiority of HC coupled-line phasers over conventional transversally cascaded C-section phasers is demonstrated and verified using full-wave simulations. © 2014 Wiley Periodicals, Inc.

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A Kalman Filter With Individual Control Factors For Echo Cancellation, Constantin Paleologu, Jacob Benesty, Silviu Ciochinǎ, Steven L. Grant Jan 2014

A Kalman Filter With Individual Control Factors For Echo Cancellation, Constantin Paleologu, Jacob Benesty, Silviu Ciochinǎ, Steven L. Grant

Electrical and Computer Engineering Faculty Research & Creative Works

In echo cancellation, the main goal is to recover the near-end signal from the error signal of the adaptive filter, which identifies the echo path. In this context, the Kalman filter represents a very appealing choice, since its basic criterion follows the minimization of the system misalignment (instead of the usual error-based cost function). In this paper, we propose a Kalman filter with individual control factors, in terms of using a different level of uncertainty for each coefficient of the filter. As compared to the basic Kalman filter (which imposes the same uncertainty for all the coefficients of the impulse …

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On The Deployment Of On-Chip Noise Sensors, Tao Wang, Chun Zhang, Jinjun Xiong, Yiyu Shi Jan 2014

On The Deployment Of On-Chip Noise Sensors, Tao Wang, Chun Zhang, Jinjun Xiong, Yiyu Shi

Electrical and Computer Engineering Faculty Research & Creative Works

Runtime noise management systems can enforce power integrity without significantly increasing design margins. These systems typically respond to on-chip noise sensors to accurately capture voltage emergencies. Unfortunately, it remains an open problem in the literature how to optimally place a given number of noise sensors for best voltage emergency detection, or how to best set the threshold voltage for these sensors. In this paper, we formally define the problem of noise sensor placement along with a novel sensing quality metric to be maximized. We then put forward an efficient algorithm to solve it, which is proven to attain the best …

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