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Propagation Characteristics of Dense Multipath Components

The dense multipath components (DMC) represent the part of the radio channel that cannot be characterized by a superposition of distinct plane waves, i.e., the specular components (SC). In this letter, the propagation characteristics of the DMC are analyzed in indoor environments from two perspectives. First, the proportion of DMC in the total power is studied as a function of the distance between

Acceleration Feedback Control for Nonlinear Teleoperation Systems with Time Delays

A procedure for acceleration feedback control of the delayed nonlinear teleoperation system is proposed. The acceleration feedback is applied to the master controller, while in the slave side the position error plus nonlinear damping controller is used to guarantee the input-to-state stability (ISS) of the controlled system. The Lyapunov-Krasovskii methodology is applied to analyse the ISS of the

Experimental Investigation of the Directional Outdoor-to-In-Car Propagation Channel

Abstract in UndeterminedThe demand for wireless channel models including realistic user environments is increasing. This motivates work on more detailed models that are reasonably simple and tractable but with adequatestatistical performance. In this paper, we present an investigation of the spatial outdoor-to-in-car radio channel at 2.6 GHz. Specifically, we investigate the performance of a multi

Multicarrier faster-than-Nyquist transceivers: hardware architecture and performance analysis

This paper evaluates the hardware aspects of multicarrier faster-than-Nyquist (FTN) signaling transceivers. The choice of time-frequency spacing of the symbols in an FTN system for improved bandwidth efficiency is targeted towards efficient hardware implementation. This work proposes a hardware architecture for the realization of iterative decoding of FTN multicarrier modulated signals. Compatibil

Stable Structure from Motion for Unordered Image Collections

We present a non-incremental approach to structure from motion. Our solution is based on robustly computing global rotations from relative geometries and feeding these into the known-rotation framework to create an initial solution for bundle adjustment. To increase robustness we present a new method for constructing reliable point tracks from pairwise matches. We show that our method can be seen

TOA-Based Self-Calibration of Dual-Microphone Array

In this paper, we study the time-of-arrival (TOA) based self-calibration problem of dual-microphone array for known and unknown rack distance, and also for different combinations of dimension for the affine spaces spanned by the receivers and by the senders. Particularly, we analyze the minimum cases and present minimum solvers for the case of microphones and speakers in 3-D/3-D, in 2-D/3-D, and i

Ultra Low Energy Design Exploration of Digital Decimation Filters in 65 nm Dual-VT CMOS in the Sub-VT Domain

This paper presents an analysis of energy dissipation of a decimation filter chain of four half band digital (HBD) filters operated in the sub-threshold (sub-VT) region with throughput constraints. To combat speed degradation due to scaling of supply voltage, various HBD filters are implemented as unfolded structures. The designs are synthesized in 65 nm CMOS technology with low-power and three th

Using Text Clustering to Predict Defect Resolution Time: A Conceptual Replication and an Evaluation of Prediction Accuracy

Defect management is a central task in software maintenance. When a defect is reported, appropriate resources must be allocated to analyze and resolve the defect. An important issue in resource allocation is the estimation of Defect Resolution Time (DRT). Prior research has considered different approaches for DRT prediction exploiting information retrieval techniques and similarity in textual defe

A Low-Latency High-Throughput Soft-Output Signal Detector for Spatial Multiplexing MIMO Systems

This paper presents a low latency, high throughput soft-output signal detector for a 4x4 64-QAM spatial-multiplexing MIMO system. To achieve high data-level parallelism and accurate soft information, the detector adopts a channel-adaptive node perturbation technique to generate a list of candidate vectors around an initial linear estimation. The detection algorithm provides a large range and conve

Biogenic SOA formation through gas-phase oxidation and gas-to-particle partitioning-a comparison between process models of varying complexity

Biogenic volatile organic compounds (BVOCs) emitted by vegetation play an important role for aerosol mass loadings since the oxidation products of these compounds can take part in the formation and growth of secondary organic aerosols (SOA). The concentrations and properties of BVOCs and their oxidation products in the atmosphere are poorly characterized, which leads to high uncertainties in model

Optimization of link load balancing in multiple spanning tree routing networks

In telecommunication networks based on the current Ethernet technology, routing of traffic demands is based on multiple spanning trees: the network operator configures different routing spanning trees and assigns each demand to be routed in one of the selected spanning trees. A major optimization issue in this solution is the combined determination of (i) a set of appropriate spanning trees, and (

Energy-Efficient Soft-Input Soft-Output Signal Detector for Iterative MIMO Receivers

This paper presents the VLSI design of an energy-efficient, high-throughput soft-input soft-output signal detector for iterative multiple-input multiple-output (MIMO) receiver. The detector is evolved from our previously developed imbalanced fixed complexity sphere decoder and adopts several new algorithm-level techniques to exploit the available a priori information of transmitted bits. More spec

Hardware Efficient Approximative Matrix Inversion for Linear Pre-Coding in Massive MIMO

This paper describes a hardware efficient linear pre-coder for Massive MIMO Base Stations (BSs) comprising a very large number of antennas, say, in the order of 100s, serving multiple users simultaneously. To avoid hardware demanding direct matrix inversions required for the Zero-Forcing (ZF) pre-coder, we use low complexity Neumann series based approximations. Furthermore, we propose a method to

The PID+p controller structure and its contextual autotuning

A previous paper addressed the "PI+p" controller (a PI augmented with an additional, stable pole) and demonstrated its advantages over standard PIs, particularly if tuned with a combined model-relay-based method along the "contextual" approach proposed in another recent work. This manuscript extends the scenario to the PID+p structure, with obvious meaning, and applies the contextual approach to i

Nonconvergence to saddle boundary points under perturbed reinforcement learning

For several reinforcement learning models in strategic-form games, convergence to action profiles that are not Nash equilibria may occur with positive probability under certain conditions on the payoff function. In this paper, we explore how an alternative reinforcement learning model, where the strategy of each agent is perturbed by a strategy-dependent perturbation (or mutations) function, may e

Towards a seamless integration between process modeling descriptions at Business and Production levels - work in progress

To fulfill increasing requirements in the manufacturing sector, companies are faced to several challenges. Three major challenges have been identified regarding time-to-market, vertical feedback loops and level of automation. Grafchart, a graphical language aimed for supervisory control applications, can be used from the process-planning phase, through the implementation phase and all the way to t

Fast and Robust Numerical Solutions to Minimal Problems for Cameras with Radial Distortion

A number of minimal problems of structure from motion for cameras with radial distortion have recently been studied and solved in some cases. These problems are known to be numerically very challenging and in several cases there were no practical algorithms yielding solutions in floating point arithmetic. We make some crucial observations concerning the floating point implementation of Gröbner bas