Damage detection using Lead-Zirconate-Titanate (PZT) transducers for exciting guided waves was investigated. The analytical model for guided wave excitation using PZT transducers was used in a Finite Element Model for...
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Damage detection using Lead-Zirconate-Titanate (PZT) transducers for exciting guided waves was investigated. The analytical model for guided wave excitation using PZT transducers was used in a Finite Element Model for simulating guided waves in a thin aluminum plate with various defect depths. The fundamental symmetric (S-0) mode was excited, and four sensors were placed for detecting both the reflected and transmitted waves from defects. The model was used to conduct a parametric study of the effect of the PZT adhesive bonding on the measured signal and hence probability of detection (POD). The model was also used for optimizing signal analysis algorithms, particularly for the case of multiple overlapping modes due to mode conversion from defects. A mode decomposition algorithm is proposed for separating the reflected/transmittedS(0)mode from the mode converted antisymmetric mode (A(0)). The signalprocessingalgorithms were optimized to maximize the POD. (C) 2014 The Authors. Published by Elsevier Ltd.
Previously published results demonstrated that a sequential combination of adaptive linear prediction configuration (LPC), adaptive noise cancellation (ANC), and adaptive comb filtering (CF) can effectively remove mat...
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The authors discuss the use of advanced digital signalprocessing (DSP) algorithms to implement sophisticated audio processing functions and microcontroller tasks on a low-cost digital signal processor, enabling OEM (...
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The authors discuss the use of advanced digital signalprocessing (DSP) algorithms to implement sophisticated audio processing functions and microcontroller tasks on a low-cost digital signal processor, enabling OEM (original equipment manufacturer) vendors to build cost-effective solid-state telephone answering devices. Sophisticated data compression algorithms and a low-cost programmable DSP processor were used to develop a powerful set of telephone-answering-machine chips. The DSP-based chip sets have been integrated in devices that offer incoming message recording times from 5 to 25 min, outgoing messages, time/date voice stamping and many other advanced features. A key to the project was finding application areas where DSP software could replace the traditional hardware while providing higher performance at lower cost. Speech processing along with telephony provided that environment. Aspects of hardware and software design are discussed.
Digital signalprocessing is the core functional block in beyond-100G transmission systems with a high symbol rate and/or high spectral efficiency. We review recent progress on high symbol rate signal generation and d...
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Digital signalprocessing is the core functional block in beyond-100G transmission systems with a high symbol rate and/or high spectral efficiency. We review recent progress on high symbol rate signal generation and detection, and corresponding advancedalgorithms for signal equalization and compensation at the transmitters (Tx) and the receivers (Rx), respectively. Thanks to the joint Tx-side optical pre-equalization (pre-EQ) and Rx-side partial response maximum likelihood sequence estimation, significant performance improvement can be achieved by reducing the penalty caused by bandwidth limitations of the optical and electronic components. A joint pre-EQ and look-up table predistortion technique is also reviewed in this paper, which is demonstrated to be an effective method for mitigating devices' nonlinearity impairment. We exemplify how these advancedalgorithms enable high symbol rate beyond-100G transmission systems with signal generation based on either electronic time-division multiplexing or digital-to-analog converters.
This work presents an approach at integrating novel methodologies for teaching graduate level courses in the areas of high performance computing (HPC) and advancedsignalprocessingalgorithms (ASPA) for computer engi...
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This work presents an approach at integrating novel methodologies for teaching graduate level courses in the areas of high performance computing (HPC) and advancedsignalprocessingalgorithms (ASPA) for computer engineering and computer science and engineering curricula. The novel teaching methodology presented here in high performance computing centers on the use of innovative empirical methods, i.e., exploratory data analysis, experiment design, etc., for studying computer performance, whereas an operator signal algebra approach is considered a novel methodology for the studying of advancedsignalprocessingalgorithms. The work also discusses an on going concerted effort at utilizing common tools and IT resources in both courses to provide students a holistic learning experience.
advanced read channels which sample the read signal and process those samples using algorithms borrowed from the communications industry allow us to reach higher storage densities and faster data rates than ever befor...
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advanced read channels which sample the read signal and process those samples using algorithms borrowed from the communications industry allow us to reach higher storage densities and faster data rates than ever before. In this paper we describe some of the design issues involved in using a PRML (partial-response, maximum-likelihood) channel in a disk drive employing thin-film heads, zoned-recording, and embedded servo sectors. We discuss the effect of high transition densities required far a PRML channel on the design of heads and media. Finally, we survey some additional: signalprocessing methods which might-lead to even higher performance in the future.
Distributed beamforming is a form of cooperation among nodes in a wireless network to efficiently deliver a common message to a distant receiver. The critical requirement to achieve electromagnetic coherence is to syn...
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ISBN:
(纸本)9781424468331
Distributed beamforming is a form of cooperation among nodes in a wireless network to efficiently deliver a common message to a distant receiver. The critical requirement to achieve electromagnetic coherence is to synchronize the initial phases of all local oscillators, introducing minimal overhead and complexity. In the paper we introduce random, deterministic and hybrid algorithms, all based on feedback from the common receiver as the driving force, but with different phase update strategies. Our numerical results show that these algorithms achieve faster convergence time than previously proposed approaches.
A new baseband signalprocessing method for compensating frequency shift in differential phase-shift keying (DPSK) systems is introduced, This method consists of a signal processor for the initial acquisition of frequ...
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A new baseband signalprocessing method for compensating frequency shift in differential phase-shift keying (DPSK) systems is introduced, This method consists of a signal processor for the initial acquisition of frequency shift and a simple adaptive equalizer for tracking, The former is based on the observation that the effect of frequency shift can be eliminated by using boundary values of the received baseband signal between symbol periods, The latter is a single tap equalizer employing the least mean-square (LMS) adaptation algorithm, Computer simulation results demonstrate that the proposed frequency shift compensation technique outperforms existing methods, and works well for a wide range of frequency shift.
For communication systems of third generation and beyond, the algorithmic complexity will increase significantly compared with 2G and 2.5G systems, as we can see from the example of channel estimation. The answer to t...
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For communication systems of third generation and beyond, the algorithmic complexity will increase significantly compared with 2G and 2.5G systems, as we can see from the example of channel estimation. The answer to these demands will consist of transceivers with re-configurable hardware accelerators in advanced CMOS technology.
An innovative development environment for the generation of libraries of routines for digital signalprocessing (DSP) is presented. Significant aspects of this environment are advanced user friendliness and the wide p...
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An innovative development environment for the generation of libraries of routines for digital signalprocessing (DSP) is presented. Significant aspects of this environment are advanced user friendliness and the wide portability of the results. These resources allow the user to implement new algorithms quickly and to use the software on different systems. The environment allows the user to implement algorithms by writing mathematical formula expressions with onscreen graphic representation and generates the corresponding source-code routines in a highly portable language. The C language was selected for its wide diffusion and portability.
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