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2nd ieee workshop on signal processing Advances in Wireless Communications, SPAWC 1999

作者： Kuzminskiyt, Alexandr M. Hatzinakos, Dimitrios Bell Laboratories Lucent Technologies Unit 1 Pagoda Park Westmead Drive Swindon WiltshireSN5 7YT United Kingdom Dept. of Electrical and Computer Engineering University of Toronto TorontoONM5S 3G4 Canada

ISBN: (纸本)0780355997

The problem of symbol synchronization for semi-blind antenna array signal processing in digital communications is considered. It is relevant to situations where the location of known training symbols within a slot of received data is not known. Training based and blind techniques have been employed to address this problem but they become ineffective when the length of the training sequence and/or the data received under quasi-stationary conditions is not sufficiently long. A more effective semi-blind solution is proposed in this paper. A synchronization algorithm is developed and compared with the known training-based algorithm by means of computer simulations. The testing and evaluation conditions correspond to those of short burst multiuser Spatial Division Multiple Access (SDMA) systems. © 1999 ieee.

关键词： Antenna arrays

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Proceedings of the 1997 2nd ieee-CAS Region 8 workshop on Analog and Mixed IC Design

Proceedings of the 1997 2nd IEEE-CAS Region 8 Workshop on An...

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Proceedings of the 1997 2nd ieee-CAS Region 8 workshop on Analog and Mixed IC Design

The proceedings contains 24 papers from the 1997 2nd ieee-CAS Region 8 workshop on Analog and Mixed IC Design. Topics discussed include: analog/digital interface in submicron IC's;low power/low voltage circuits;low power, low-voltage ROMs;intermediate frequency-sampling modulators;high-performance modulator design using computer aided design tools;IC microsensors;CMOS readout chip for pixel detectors;tunable perceptual microsystem for stereo depth estimation;capacitive sensors;silicon vertex track detector;dynamic translinear circuits;current mode and translinear design;programmable pulse based mixed-signal processing VLSI;high-accuracy high-speed continuous-time current comparators;and massively-parallel analog array processors.

关键词： Integrated circuit layout

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Implantable multi-sensor system for hemodynamic controlling

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TM-TECHNISCHES MESSEN 2018年第5期85卷 359-365页

作者： Weidenmueller, Jens Dogan, Oezgue Stanitzki, Alexander Baum, Mario Schroeder, Tim Wuensch, Dirk Goertz, Michael Grabmaier, Anton Fraunhofer Inst Microelectron Circuits & Syst IMS D-47057 Duisburg Germany Fraunhofer Inst Elect Nano Syst ENAS D-09126 Chemnitz Germany

A miniaturized implantable multi-sensor system for cardiovascular monitoring of physiological parameters is presented. High accuracy pressure measurements within the vessel can be performed by a capacitive pressure sensor. Additional information about the patient, e.g., sudden movement, inclination or increased temperature can be obtained by additional sensor components such as an acceleration sensor and a temperature sensor unit. This information facilitates compensation of interferences for more accurate pressure measurements. A multifunctional ASIC enables, amongst others, sensor signal processing, power management and telemetric communication with extracorporeal electronics. sensor chips, the multi-functional ASIC and passive components are assembled on a LTCC circuit board in which an antenna coil is integrated for telemetric energy and data transmission at a frequency of 13.56 MHz. In order to support further miniaturization, the implant shall be encapsulated with a stack of very thin and hermetic ceramics applied by ALD instead of using bulky metal housings. Further encapsulation with polymers, which can be functionalised with appropriate biomolecules, is necessary for a proper shape, a biocompatible interface to the surrounding tissue and, thereby, reduction of thrombogenicity.

关键词： Pressure sensor acceleration sensor temperature sensor monitoring of blood pressure implant encapsulation assembly and packaging

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Color videos' multichannel combination for bandwidth reduction and fast frequency domain processing

Color videos' multichannel combination for bandwidth reducti...

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2nd International workshop on Education Technology and Computer Science, ETCS 2010

作者： Li, Shi Jing, Shiliang Song, Yueming Zhang, Bao Changchun Institute of Optics Fine Mechanics and Physics Chinese Academy of Sciences Changchun China Graduate University Chinese Academy of Sciences Beijing China

ISBN: (纸本)9780769539874

The real color video consumes much transfer bandwidth and the resource of the hardware. A new approach is introduced to process the real color video images in real-time using color components combination to fit to the limited transmission bandwidth. The Y, U, V planes of video images are packed to construct a 2 dimensional complex array. Through the decomposition of frequency domain, the Y, U, V frequency can be got respectively by performing Fourier transform a time on the specific complex array. These frequencies can be filtered to generate the final filtered images. The experiment results show that the proposed algorithm is 3X speed compared to the traditional algorithm, and it reduces 1/3 bandwidth of video data stream. © 2010 ieee.

关键词： Image reconstruction

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Identifiability of geometric models for linear unmixing at different spatial resolutions in hyperspectral unmixing

Identifiability of geometric models for linear unmixing at d...

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workshop on Hyperspectral Image and signal processing

作者： Santos-García, Andrea Velez-Reyes, Miguel Laboratory for Applied Remote Sensing and Image Processing University of Puerto Rico-Mayagüez Puerto Rico

ISBN: (纸本)9781424489077

Proposed and existing hyperspectral remote sensors, provide information about the scene of interest at resolutions ranging from few meters to few kilometers in terrestrial and space applications. Understanding the type of information extracted with image exploitation algorithms and how does it relates to actual spectra on the ground are important problems when we look into algorithms that perform unmixing of hyperspectral images for subpixel analysis. In this paper, we investigate how spatial resolution affects the capability of unmixing algorithms based on geometric models to extract information from a scene. We study the performance of the positive matrix factorization for unmixing of hyperspectral at different spatial resolutions and how does it compare with other approaches such as MaxD, and SMACC. Hyperspectral imagery collected using the AISA sensor at 1m and 4m are used for the experiments. The results obtained illustrate some of the effects that algorithms assumptions have on unmixing results. ©2010 ieee.

关键词： Space applications

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Gas detection by carbon nanotube gas-ionization sensor based on Lyapunov exponent

Gas detection by carbon nanotube gas-ionization sensor based...

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2010 2nd International Conference on Industrial Mechatronics and Automation, ICIMA 2010

作者： Hui, Guohua College of Food Science and Biotechnology Zhejiang Gongshang University Hangzhou 310035 China

ISBN: (纸本)9781424476541

In this paper, a novel method utilizing a multi-walled carbon nanotube (MWNT) gas-ionization sensor based on Lyapunov exponent algorithm was proposed for argon, ethanol, acetone, and ammonia detection. The sensor was used as anodic sensor. Responses of MWNT sensor to four gases was measured and processed by Lyapunov exponent. Experimental results showed that the MWNT sensor array based on Lyapunov exponent could distinguish gas species successfully. ©2010 ieee.

关键词： signal processing

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Optimal prefilters for the multiwavelet filter banks

Optimal prefilters for the multiwavelet filter banks

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ieee International Conference on Acoustics, Speech, and signal processing

作者： Attakitmongcol, K Hardin, DP Wilkes, DM Suranaree Univ Technol Inst Engn Sch Elect Engn Nakhon Rachasima Thailand

ISBN: (纸本)0780370414

This paper proposes a method to obtain optimal 2(nd) -order approximation preserving prefilters for a given orthogonal unbalanced multiwavelet basis. This procedure uses the prefilter construction introduced in [3]. The prefilter optimization scheme exploits the Taylor series expansion of the prefilter combined with the multiwavelet. Using the DGHM multiwavelet with the obtained optimal prefilter, we find that quadratic input signals are annihilated by the high-pass portion of filter bank at the first level of decomposition.

关键词： signal processing

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Bayesian lower bounds for dense or sparse (Outlier) noise in the RMT framework

Bayesian lower bounds for dense or sparse (Outlier) noise in...

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2016 ieee sensor array and multichannel signal processing workshop, SAM 2016

作者： Ollier, Virginie Boyer, Remy Korso, Mohammed Nabil El Larzabal, Pascal SATIE UMR 8029 Université Paris-Saclay ENS Cachan Cachan France L2S UMR 8506 Université Paris-Saclay Université Paris-Sud Gif-sur-Yvette France LEME EA 4416 Université Paris-Ouest Ville d'Avray France

ISBN: (纸本)9781509021031

Robust estimation is an important and timely research subject. In this paper, we investigate performance lower bounds on the mean-square-error (MSE) of any estimator for the Bayesian linear model, corrupted by a noise distributed according to an i.i.d. Student's t-distribution. This class of prior parametrized by its degree of freedom is relevant to modelize either dense or sparse (accounting for outliers) noise. Using the hierarchical Normal-Gamma representation of the Student's t-distribution, the Van Trees' Bayesian Cramér-Rao bounds (BCRBs) on the amplitude parameters and the noise hyperparameter are derived. Furthermore, the Random Matrix Theory (RMT) framework is assumed, i.e., the number of measurements and the number of unknown parameters grow jointly to infinity with an asymptotic finite ratio. Using some powerful results from the RMT, closed-form expressions of the BCRB are derived and studied. Finally, we propose a framework to fairly compare two models corrupted by noises with different degrees of freedom for a fixed common target signal-to-noise ratio (SNR). In particular, we focus our effort on the comparison of the BCRBs associated with two models corrupted by a sparse noise promoting outliers and a dense (Gaussian) noise, respectively. © 2016 ieee.

关键词： Mean square error

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Bearing-only Localization Based on an array Network with Distributed ADMM 2

Bearing-only Localization Based on an Array Network with Dis...

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2nd ieee International Conference on signal, Information and Data processing, ICSIDP 2024

作者： Sun, Guanxi Liu, Wei Queen Mary University of London School of Electronic Engineering and Computer Science United Kingdom The Hong Kong Polytechnic University Department of Electrical and Electronic Engineering Hong Kong

ISBN: (纸本)9798331515669

The two-dimensional target localization problem for a network of distributed sensor sub-arrays (with a sub-array at each receiver) is investigated in the compressive sensing framework based on group sparsity, and the well-known alternating direction method of multipliers (ADMM) method is applied to derive a distributed implementation algorithm. It does not require transmission of the impinging signals from each sub-array to a central processor, while the whole optimisation process is realised in a distributed way. Simulation results show that the proposed algorithm under certain conditions performs better than the existing group sparsity based localization method in terms of localization accuracy, speed and computational complexity. © 2024 ieee.

关键词： Compressed sensing

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Hyper-Cam: Hyperspectral IR imaging applications in defence innovative research

Hyper-Cam: Hyperspectral IR imaging applications in defence ...

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workshop on Hyperspectral Image and signal processing

作者： Montembeault, Yan Lagueux, Philippe Farley, Vincent Villemaire, André Gross, Kevin C. Telops Inc. 100-2600 St-Jean-Baptiste Québec QC G2E 6J5 Canada Air Force Institute of Technology Wright-Patterson AFB 2950 Hobson Way Dayton OH 45433 United States

ISBN: (纸本)9781424489077

Modern defence acitivites often require sophisticated technology to enable protection of sites and troops, as well as understanding and predicting events in the battlefield. The need for protection against chemical attacks has been a military priority for decades. Similarly, the need for battlefield standoff remote sensing (target/camouflage and surface contaminants detection, IR signatures of decoys/flares/jet engines) has evolved along with theelectrooptical technologies. These areas of application require powerful detection methods through the analysis of infrared spectral signatures and recognition algorithms. Telops commercializes the Hyper-Cam, a rugged and compact infrared hyperspectral imaging sensor operating in the LWIR (8-11.5 μm) or the MWIR (1.5-5.5 μm). This paper presents some areas of application in defence innovative research where the Hyper-Cam sensor, is paving the way with unprecedented capabilities. ©2010 ieee.

关键词： Hyperspectral imaging

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