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Proceedings of 2002 ieee 10th Digital signal processing workshop, DSP 2002 and 2nd signal processing Education workshop, SPE 2002

Proceedings of 2002 IEEE 10th Digital Signal Processing Work...

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10th ieee Digital signal processing workshop, DSP 2002 and the 2nd ieee workshop on signal processing Education, SPE 2002

ISBN: (纸本)0780381165

The proceedings contain 79 papers. The topics discussed include: effects of even-order nonlinear terms on predistortion;on the modeling of memory nonlinear effects of power amplifiers for communication applications;information processing of linear block codes;multicarrier modulation via finite-field transforms;speech coding using an EM sensor and acoustic signals;phoneme classification using naive bayes classifier in reconstructed phase Space;Detecting determinism in speech phonemes;a pitch analysis technique for automated speech distortion identification in VolP networks;a robustness and audibility analysis of a temporal envelope modulating audio watermark;segmentation of seismic data with complex stratigraphy using watershedding;tracking of multiple wideband targets using passive sensor arrays and particle filters;error analysis of the PNned Multi-angle resolution beamformer;and design and evaluation of perceptual masks for wavelet image compression.

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Distributed space-time codes for cooperative wireless networks in the presence of different propagation delays and path losses

Distributed space-time codes for cooperative wireless networ...

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2004 sensor array and multichannel signal processing workshop

作者： Mietzner, Jan Hoeher, Peter A. Faculty of Engineering University of Kiel Kaiserstrasse 2 D-24143 Kiel Germany

ISBN: (纸本)0780385454

The application of a distributed space-time coding scheme in a simulcast network is considered. A key challenge is addressed which is particularly crucial in the downlink: Since the distances between the individual transmitting nodes and the receiving node are typically different, the transmitted signals are subject to different propagation delays and to different path losses. The influence of these effects on the system performance is investigated for the example of a specific space-time coding scheme, based on simulative and analytical results. Specifically, the issue of equalization/detection at the receiver is addressed, and a joint equalizer/detector algorithm of practicable complexity is proposed for large relative propagation delays. ©2004 ieee.

关键词： Wireless telecommunication systems

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Measurement Technique of Vibrational Distribution using Static Electricity and Capacitance 2

Measurement Technique of Vibrational Distribution using Stat...

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2nd ieee International Symposium on Inertial sensors and Systems (ISISS)

作者： Kikunaga, Kazuya Yamashita, Hiroshi Egashira, Masahiro Nonaka, Kazuhiro Natl Inst Adv Ind Sci & Technol AIST Measurement Solut Res Ctr 807-1 Shuku Machi Tosu Saga 8410052 Japan

ISBN: (纸本)9781479959150

we propose a noncontact vibrational distribution measurement technique using static electricity and a capacitance sensor array. A vibrating object was intentionally charged, and a time-varying electric field was induced in this study. The vibrational amplitude and frequency of the object were measured by detecting a change in the capacitance between the object and a sensor. The sensor used for detection comprises a parallel plate of sensors of diameter Phi 1 mm. The vibrational distribution over an area of 25 mm x 25 mm with an amplitude of 100 mu m was measured in 1 s by simultaneously processing the detected signal using a capacitance sensor array.

关键词： vibrational distribution static electricity capacitance sensor array electric field

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D2D CSI feedback for D2D aided massive MIMO communications

D2D CSI feedback for D2D aided massive MIMO communications

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

作者： Cottatellucci, Laura EURECOM Mobile Communications Department BP193 Sophia AntipolisF-06560 France

ISBN: (纸本)9781509021031

We consider fast fading massive MIMO systems in Frequency Division Duplex (FDD) mode and propose a communication scheme based on Device-to-Device (D2D) cooperation and statistical channel state information (CSI) feedback. User terminals (UT) are conveniently clustered and cooperate within a cluster to create a virtual MIMO at a target UT via D2D communications. We propose and analyse the use of D2D CSI at a massive MIMO base station (BS) to enhance performance compared to statistical precoders oblivious of the underlying relaying links. In the case of uniform linear array (ULA) at the BS and slow fading channels for D2D links, the structure of an optimal precoder is characterized and an algorithm for optimal power allocation is proposed. The average sum rate of the proposed communication scheme is analyzed by numerical simulations and it is compared to a baseline protocol oblivious of the relaying CSI. © 2016 ieee.

关键词： Channel state information

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Coordinated waveform design and receiver filter optimization for cognitive radar networks

Coordinated waveform design and receiver filter optimization...

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

作者： Rossetti, Gaia Lambotharan, Sangarapillai Signal Processing and Networks Research Group Wolfson School. Loughborough University LoughboroughLE11 3TU United Kingdom

ISBN: (纸本)9781509021031

We propose convex optimization based waveform designs for cognitive radar networks. The Multiple Input Multiple Output (MIMO) nature of the considered model as well as the cognitive capabilities provided by the joint adaptation of receiver and transmitter and some initial knowledge on the environment, make these algorithms suitable for cognitive radar networks. In particular, we propose two complementary optimization techniques. The first one aims at optimizing the signal to Interference and Noise Ratio (SINR) of a specific radar while keeping the SINR of the other radars at desired levels. The second approach optimizes the SINR of all radars using a Max-Min optimization criterion. The optimization framework includes many constraints on the waveforms such as mutual orthogonality and transmission power. The simulation results confirm the efficiency of the algorithms. © 2016 ieee.

关键词： Convex optimization

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Robust multi-antenna broadcasting with imperfect channel state information

Robust multi-antenna broadcasting with imperfect channel sta...

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2nd ieee International workshop on Computational Advances in Multi-sensor Adaptive processing

作者： Wajid, Imran Gershman, Alex B. Vorobyov, Sergiy A. Karanouh, Yasser A. Tech Univ Darmstadt D-64283 Darmstadt Germany Univ Alberta Edmonton AB T6G 2M7 Canada

ISBN: (纸本)9781424417131

The problem of robust multi-antenna broadcasting is considered in the case of erroneous channel state information (CSI) at the transmitter. The criterion of minimum transmission power is used subject to the constraints guaranteeing that the signal-to-noise ratio (SNR) of each intended receiver satisfies a prescribed quality of service (QoS) requirement for the worst-case norm-bounded CSI mismatch. The resulting robust broadcasting problem is non-convex and, therefore, is difficult to solve. However, a suitable semi-definite relaxation (SDR) of this problem is proposed that enables to transform it to a convex form and to compute the optimal transmitter weight vector.

关键词： Broadcasting antennas

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Estimating time-frequency distributions and scattering functions using the Rihaczek distribution

Estimating time-frequency distributions and scattering funct...

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2004 sensor array and multichannel signal processing workshop

作者： Farden, David C. Scharf, Louis L. ECE Department North Dakota State University Fargo ND 58105 ECE and Statistics Departments Colorado State University Fort Collins CO 80523-1373

ISBN: (纸本)0780385454

In this paper we study two problems: estimation of time-frequency distributions (TFDs) and estimation of wireless or radar scattering functions (SFs). We show that the most general quadratic, delay- and modulation-invariant estimator of each may be written as a convolution of a Rihaczek TF density with a TF kernel. This representation complements other equivalent representations and establishes a fundamental connection between the analysis of the two problems. However, the representation also illustrates a fundamental difference in design for the two problems. For TFD estimation, the Rihaczek TF density is the raw Rihaczek for the time series and the kernel is designed to convolve in time and frequency for smoothing. For SF estimation, the kernel is the true SF and the Rihaczek TF density is that for a transmitter signal designed to deconvolve in time and frequency for inversion. In each case, the Fourier transform identities in a four-corners diagram allow for kernel or Rihaczek design in the transformed space of ambiguity functions. Design in this space then produces spectrograms and interferograms for TFD estimation, and ideal transmitter signals for SF estimation. © 2004 ieee.

关键词： sensors

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Optimizing probability of detection in a wireless sensor network radio frequency array

Optimizing probability of detection in a wireless sensor net...

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2nd International Conference on signal processing and Communication Systems, ICSPCS 2008

作者： Lintz, William McEachen, John Tummala, Murali Department of Electrical and Computer Engineering Naval Postgraduate School Monterey CA United States

ISBN: (纸本)9781424442423

We present the design of a randomly distributed radio frequency signal detection and reception array constructed of wireless sensor network nodes. The design stresses initial signal detection using the wireless network array. All other array operations depend on first detecting a signal of interest prior to activating follow-on sequences of signal processing, potentially including geolocation of the emitter and reception/demodulation of the signal. Of specific concern in network operations will be conservation of energy costs while providing an operable array for target signal detection and follow-on processing. Using the Neyman- Pearson criterion, a desired aperture can be determined providing an optimal probability of detection against an acceptable false alarm rate. Control of these parameters will be based on usage of the distributed wireless sensor nodes. The sensor nodes will be segmented into sub-arrays to produce the desired aperture. Upon signal detection, the network may then further optimize the aperture for purposes of increasing signal to noise ratio in signal processing. © 2008 ieee.

关键词： signal detection

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Mixed source prior for the fast independent vector analysis algorithm

Mixed source prior for the fast independent vector analysis ...

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

作者： Rafique, Waqas Naqvi, Syed Mohsen Chambers, Jonathon A. Communications Sensors Signal and Information Processing Research Group School of Electrical and Electronic Engineering Newcastle University NE1 7RU United Kingdom

ISBN: (纸本)9781509021031

A novel method to improve the separation performance and the convergence speed of fast independent vector analysis (FastIVA) for frequency domain operation is proposed. In this paper, a mixture of super Gaussian distributions is adopted as a source prior for the FastIVA algorithm. In this mixed source prior, a Student's t distribution is adopted to model the high amplitude information in the spectrum of a speech signal and another super Gaussian distribution with less heavy tails is used to model the rest of the information. Moreover, in the proposed mixed source prior the weight of both distributions can be varied according to the frequency dependent amplitude of the speech signals. The performance of the proposed algorithm is demonstrated by using the imaging method and binaural room impulse responses and comparison is made with the FastIVA using the original super Gaussian source prior. © 2016 ieee.

关键词： Frequency domain analysis

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MICROELECTRODE arrayS And APPLICATION TO BIOSENSING DEVICES

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BIOsensorS & BIOELECTRONICS 1994年第9-10期9卷 697-705页

作者： HINTSCHE, R PAESCHKE, M WOLLENBERGER, U SCHNAKENBERG, U WAGNER, B LISEC, T Fraunhofer-Institut für Siliziumtechnologie Dillenburgerstr. 53 D-14199 Berlin Germany

An electrochemical microanalytical system consisting of a microelectrode array, a micromachined flow-through assembly, and a multichannel potentiostat were constructed for highly sensitive biosensing. Thin-film platinum microelectrode arrays consisting of four interdigitated microelectrodes (IDAs), which are spaced in the sub-micrometer range, were fabricated using silicon technology. On top of this chip, a micromachined flow-through cell was mounted. Using a home made miniaturized multipotentiostat, amperometric measurements of the individual electrodes at different and changing potentials, respective to a single reference electrode, were performed simultaneously. The signal generation, signal processing and the analytical system were controlled by a computer (PC type) and special software. An improved sensor sensitivity was achieved by multielectrode detection and averaging of the IDA responses. By applying both the oxidation and reduction potentials of reversible redox molecules to pairs of the interdigitated electrodes, an increased current generation can be observed. Thus the steady state current of mediators such as benzoquinone can be amplified by a factor of 30 compared with conventional eIectrodes. This measuring principle was applied to determine of the activity of hydrolases by detecting the enzyme generated p-aminophenol in the nanomolar range. By combining both, the averaging and the recycling procedures, the detection limit of amperometric biosensing devices may be lowered by about one and a half orders of magnitude.

关键词： SI-TECHNOLOGY BIOsensor MICROELECTRODE array MICROMACHINING AMPEROMETRIC MEASUREMENT MULTIPOTENIOSTAT REDOX RECYCLING

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