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检索条件"主题词=signal processing algorithms"

共 43367 条记录，以下是71-80 订阅

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Efficient signal processing algorithms for Radar and Telecommunication Systems

Efficient Signal Processing Algorithms for Radar and Telecom...

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International Conference on Advances in Computing, Communications and Informatics

作者： Rostislav I. Sokolov Denis A. Dolmatov Renat R. Abdullin Institute of Radioelectronics and Informational Technologies Ural Federal University named after the first President of Russia B.N. Yeltsin Yekaterinburg Russian Federation

ISBN: (纸本)9781509020300

It is proposed to develop a quasi-optimal RF-pulse signal receiver algorithm based on Markov theory of nonlinear filtering. Evaluating the synthesized algorithm efficiency is founded on a semi-natural experiment of processing the signal mixed with Johnson or white Gaussian noises. The developed algorithm has been simulated in Simulink MatLab. The experiment was implemented on the installation of the wireless communication National Instruments PXIe-1075. The gain in the signal to noise ratio of the nonlinear Markov filtering algorithm compared with the adaptive algorithm is from 2 to 5 dB for white Gaussian noise and various Johnson noises for correct reception error probability equaled to 0.1. The S_L Johnson noise has the best masking effect, and the S_B Johnson noise has the worst one.

关键词： Adaptive filters Digital signal processing Filtering algorithms Gaussian noise Markov processes Nonlinear filters signal processing algorithms

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Multi-channel data acquisition for implementation of real time signal processing algorithms

Multi-channel data acquisition for implementation of real ti...

引用

IEEE International Conference on Multi Topic

作者： A.G. Hashmi M.A. Butt Lahore University of Management Sciences Lahore Pakistan National University of Computer and Emerging Sciences Lahore Pakistan

Many signal processing applications like blind source signal separation, audio beam etc. require multi-channel synchronous data acquisition. These applications require signal to be acquired from multiple inputs that digitize the signal synchronously to preserve the phase relationship. In this paper, we present the design and implementation of a multi-channel data acquisition system using a personal computer (PC). Our design does not require installation of any interface card or any other modification in the circuitry of the PC. Rather, we use the analog joystick port, found in most of the personal computers with a sound card to implement our design. Our design replaces the variable resistors of the joystick with a simple circuit that enables us to synchronously digitize four analog signals and store them. Our circuit also changes the DC bias of the analog signals and detects any lost samples due to delayed response of the host computer. To minimize the possibility of losing the samples during data acquisition, we use a modified Linux kernel.

关键词： Data acquisition signal processing algorithms Circuits Microcomputers Source separation Application software signal design Resistors signal detection Delay

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Investigation of signal processing algorithms for an Embedded Microcontroller-Based Wearable Pulse Oximeter

Investigation of Signal Processing Algorithms for an Embedde...

引用

Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： W. S. Johnston Y. Mendelson Department of Biomedical Engineering Worcester Polytechnic Institute Worcester MA USA

Despite steady progress in the miniaturization of pulse oximeters over the years, significant challenges remain since advanced signal processing must be implemented efficiently in real-time by a relatively small size wearable device. The goal of this study was to investigate several potential digital signal processing algorithms for computing arterial oxygen saturation (SpO 2 ) and heart rate (HR) in a battery-operated wearable reflectance pulse oximeter that is being developed in our laboratory for use by medics and first responders in the field. We found that a differential measurement approach, combined with a low-pass filter (LPF), yielded the most suitable signal processing technique for estimating SpO 2 , while a signal derivative approach produced the most accurate HR measurements

关键词： signal processing algorithms Biomedical monitoring Heart rate Pulse measurements Reflectivity Fingers Motion measurement signal processing Digital signal processing Wearable computers

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Development Principles and Criteria for The Selection of VLSI-Structures for Coordinated Parallel Calculation of Basic Operations of Real-Time Digital signal processing algorithms

Development Principles and Criteria for The Selection of VLS...

引用

International Conference on CAD Systems in Microelectronics (CADSM)

作者： Anatoliy Batyuk Eugen Struk Ivan Tsmots ACS Department Lviv Polytechnic National University Lviv Ukraine

In this article we have presented development principles of VLSI-structures and the ways to improve effectiveness of VLSI-devices used for coordinated parallel calculation of basic operations of real-time digital signal processing algorithms. We have also developed criteria for the selection of VLSI-structures to be used for such calculations.

关键词： Digital signal processing signal processing algorithms Hardware Real time systems Concurrent computing Parallel processing Standards development Productivity

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Evolution of signal processing algorithms using Vector Based Genetic Programming

Evolution of Signal Processing Algorithms using Vector Based...

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International Conference on Digital signal processing (DSP)

作者： K. L. Holladay K. A. Robbins Southwest Research Institute San Antonio TX USA University of Texas San Antonio San Antonio TX USA

This paper demonstrates that FIFTH TM , a new vector-based genetic programming (GP) language, can automatically derive very effective signal processing algorithms directly from signal data. Using symbol rate estimation as an example, we compare the performance of a standard algorithm against an evolved algorithm. The evolved algorithm uses a novel approach in developing a symbol transition feature vector and achieves an impressive 97.7% overall accuracy in the defined problem domain, far exceeding the performance of the standard algorithm. These results suggest that vector based GP approaches could be useful in developing more expressive features for a large class of signal processing and classification problems.

关键词： signal processing algorithms Genetic programming signal processing Vectors Algorithm design and analysis Containers signal analysis Fourier transforms Genetic mutations Digital communication

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Combination of body sensor networks and on-body signal processing algorithms: the practical case of MyHeart project

Combination of body sensor networks and on-body signal proce...

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International Workshop on Wearable and Implantable Body Sensor Networks (BSN)

作者： J. Luprano J. Sola S. Dasen J.M. Koller O. Chetelat Centre Suisse d''Electronique et de Microtechnique Neuchatel Switzerland

Smart clothes increase the efficiency of long-term non-invasive monitoring systems by facilitating the placement of sensors and increasing the number of measurement locations. Since the sensors are either garment-integrated or embedded in an unobtrusive way in the garment, the impact on the subject's comfort is minimized. However, the main challenge of smart clothing lies in the enhancement of signal quality and the management of the huge data volume resulting from the variable contact with the skin, movement artifacts, non-accurate location of sensors and the large number of acquired signals. This paper exposes the strategies and solutions adopted in the European 1ST project MyHeart to address these problems, from the definition of the body sensor network to the description of two embedded signal processing techniques performing on-body ECG enhancement and motion activity classification

关键词： Body sensor networks signal processing algorithms Intelligent sensors Clothing Monitoring Sensor systems Quality management Skin signal processing Electrocardiography

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A rapid prototyping framework for audio signal processing algorithms

A rapid prototyping framework for audio signal processing al...

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IEEE International Conference on Field-Programmable Technology (FPT)

作者： N. VoB T. Eisenbach B. Mertsching Faculty of Computer Science University of Puderbom Paderborn Germany GET Lab Electrical Engineering and Mathematics University of Paderborn Paderborn Germany

We present a rapid-prototyping environment for functional verification and test of digital signal processing algorithms. The environment consists of a Virtex-ll device on a PCI-card and an appropriate generic software backend which is used to pre- and post-process the data and to transfer it to the FPGA and pull the results from it. It is designed to meet real-time requirements by means of interleaving block-transfers to and from a large on-board memory. We use the system for the development and test of audio signal processing applications. The implementation and test of the gammatone-resynthesis algorithm is described as an exemplary algorithm that has been tested within the environment. The presented system is part of a software framework for rapid development of power optimized audio signal processing applications on behavioral level using library elements.

关键词： Prototypes signal processing algorithms Testing Field programmable gate arrays Hardware Psychoacoustic models Software libraries signal design Object oriented modeling Digital signal processing

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New digital signal processing algorithms for frequency deviation measurement

New digital signal processing algorithms for frequency devia...

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IEEE PES Transmission and Distribution Conference and Exposition

作者： M. Kezunovic P. Spasojevic B. Perunicic Department of Electrical Engineering Texas A and M University College Station TX USA Elektrotehnički Fakultet Sarajevo Bosnia and Herzegovina

Two digital signal processing algorithms for frequency deviation measurement are introduced. The algorithms are derived using a new signal processing scheme based on quadratic forms of signal samples. These algorithms provide high measurement accuracy over a wide range of frequency changes. One is designed for measurements of small deviations of the nominal frequency, whereas the other one measures off-nominal frequency deviations. The performance of the algorithms is evaluated using computer simulation tests.< >

关键词： Digital signal processing signal processing algorithms Frequency measurement Testing Frequency estimation Noise robustness Algorithm design and analysis EMTP Performance evaluation Power system transients

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Design space exploration and synthesis for digital signal processing algorithms from Simulink models

Design space exploration and synthesis for digital signal pr...

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International Design and Test Workshop

作者： Shahzad Ahmad Butt Luciano Lavagno Department of Electronics and Telecommunications Politecnico di Torino Torino Italy

Design teams are increasingly looking for design flows that can rapidly lead to high performance and low power implementation of DSP algorithms. Model-based design can satisfy this requirement, but it must be (1) coupled with efficient high-level synthesis support in order to provide good Quality of Results, and (2) controlled to derive the desired area/performance/throughput trade-off. We present a semi-automatic design flow for rapid high level synthesis-based hardware design space exploration starting from Simulink digital signal processing models. We illustrate our flow with a realistically complex signal processing algorithm for estimating the direction of arrival of a sound source. We show how one can start from a functionally validated fixed point model in Simulink and then go through a relatively simple design flow for hardware synthesis and automatic design space exploration, obtaining a very efficient hardware implementation that is competitive with the RTL implementation generated by another commercial model-based design tool.

关键词： Software packages Hardware Algorithm design and analysis Space exploration signal processing algorithms High level synthesis Throughput

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Optimization of signal processing algorithms

Optimization of signal processing algorithms

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Asilomar Conference on signals, Systems & Computers

作者： R. Ahmed B.L. Evans Measurement Business Division Tektronix Inc. Beaverton OR USA Department of Electrical and Computer Engineering University of Technology Austin TX USA

We optimize implementations of one-dimensional and multidimensional signal processing algorithms by rewriting subexpressions according to a set of algebraic identities. We encode the algebraic identities as conditional rules, and program hill climbing and simulated annealing search techniques to apply the rules. Both of these search techniques avoid an exponential explosion in memory usage because they only keep a single state in memory instead of building the entire tree of possible equivalent forms. We compare the effectiveness of these search techniques in optimizing implementations of one-dimensional multirate signal processing algorithms. Our prototype environment is written in Mathematica.

关键词： signal processing algorithms Equations Feedback Multidimensional signal processing Cost function Algorithm design and analysis Decoding signal generators Delay Tree graphs

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