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检索条件"主题词=Signal processing algorithms"

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signal processing techniques for reliability improvement of sub-20NM NAND flash memory

Signal processing techniques for reliability improvement of ...

引用

IEEE Workshop on signal processing Systems (SIPS)

作者： Dong-hwan Lee Jonghong Kim Wonyong Sung Department of Electrical and Computer Engineering Seoul National University Gwanak-gu Seoul Korea

The capacity of NAND flash memory has been continuously increased by adopting process technology scaling and multi-level cell (MLC) data coding. However, the reliability of stored data becomes a very important issue because the scaled feature size lowers the number of electrons at each floating-gate while increasing the cell-to-cell interference. In this paper, we review recent advances in signal processing techniques for reliability improvement of sub-20 nm NAND flash memory, which includes estimation of the threshold voltage distribution, cell-to-cell interference cancellation, and optimal multi-level memory sensing. We also present experimental results for the explained signal processing algorithms. Especially, we demonstrate the reliability improvement when combining all these techniaues.

关键词： Ash Sensors Threshold voltage Bit error rate signal processing algorithms Error correction

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Evaluation of signal processing Effect in Media Gateway Based on Cross Correlation

Evaluation of Signal Processing Effect in Media Gateway Base...

引用

International Conference on Intelligent Information Hiding and Multimedia signal processing (IIHMSP)

作者： Hao Wang Yanying Wang Jikun Guo Dianwu Gao Heilongjiang Institute of Science and Technology China

signal processing is the critical equipment and the guarantee of technology to media gateway, so it is very important to evaluate the signal processing effect of media gateway. In this paper the Correlation Criterion which is based correlation operator on theory and uses correlation coefficient as the index of evaluation is put forward. In this method, the select of standard test signal is the key. The paper introduces the dependence and reason of choosing standard test signal. The cross correlation criterion is a normalized, quantitative, time domain evaluation method.

关键词： signal processing Delay effects signal processing algorithms Performance analysis Circuit testing Error correction Switches Jitter Acoustic signal processing Size control

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Tunnelized Cyclostationary signal processing: A Novel Approach to Low-Energy Spectrum Sensing

Tunnelized Cyclostationary Signal Processing: A Novel Approa...

引用

MILCOM, Military Communications Conference

作者： Chad M. Spooner Apurva N. Mody Jack Chuang Michael P. Anthony NorthWest Research Associates Monterey California USA BAE Systems Merrimack New Hampshire USA

ISBN: (纸本)9781479948994

We present novel tunnelized second- and higher-order cyclostationary signal processing algorithms to simultaneously detect and characterize RF signals. Techniques that exploit second- and higher-order cyclostationary features to detect and classify signals possess many desirable properties. However, their pervasive use and hardware implementation have been hampered because such features are highly complex, and consume substantial processor energy. In this paper we present a novel concept, where we observe that severe but purposeful under-sampling of the signals through tunneling preserves sufficient exploitable cyclostationarity, even when the tunnel bandwidth is much smaller than the signal bandwidth. This phenomenon is then exploited to create a low complexity and flexible suite of algorithms to simultaneously detect and characterize signals using their tunneling-distorted cyclostationary features. We also demonstrate that such algorithms can detect and characterize signals for a highly adverse signal-to-interference-plus-noise ratio, even when multiple signals completely overlap in time and frequency.

关键词： Tunneling signal processing algorithms Bandwidth Spread spectrum communication Multiaccess communication Noise Sensors

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Measurement of dielectric loss factor based on LabVIEW signal processing module

Measurement of dielectric loss factor based on LabVIEW signa...

引用

International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI)

作者： Ronghui Hu Aiming Zhao Chao Yu Yawei Shi Xing Zhang Shanghai Dianji University Shanghai China

ISBN: (数字)9781728196381

ISBN: (纸本)9781728196398

Online monitoring of the dielectric loss of capacitive equipment is an effective method to judge its insulation status. Because the higher harmonics and noise signals in the power grid will bring errors to the measurement of dielectric loss, in order to improve the accuracy of the measurement, this paper designs a FIR digital filter based on LabVIEW to remove the harmonic and noise signals, in order to ensure the measurement For speed and accuracy, an algorithm program of sine wave parameter method (including least square method and trigonometric function integration method) based on LabVIEW is designed, and the dielectric loss angle is obtained. The two algorithms are simulated under different signal-to-noise ratios and multiple complete cycles. The simulation results show the feasibility and effectiveness of the two methods. The two algorithms are simulated under a non-integer period. The simulation results show that the trigonometric function integration rule must be calculated under the complete period, and the least square method does not have this requirement.

关键词： Power measurement Simulation signal processing algorithms Dielectric loss measurement Loss measurement Noise measurement Synchronization

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Machine Learning for signal processing in Communication Systems

Machine Learning for Signal Processing in Communication Syst...

引用

Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), International Conference on

作者： PoliLokeshwara Reddy Chanda Shreyas Pamulapati. Bhargavi Raja G V D. Leela Rani S. Maheswari Department of Electronics and Communication Engineering Anurag University Hyderabad Telangana India Department of Computer Science Engineering KKR & KSR Institute of Technology and Sciences Guntur Andhra Pradesh Department of Electronics and Communication Engineering Sri Sairam College of Engineering Bengaluru Karnataka Department of Electronics and Communication Engineering Mohan Babu University Tirupati Andhra Pradesh India Department of Electrical and Electronic Engineering Kongu Engineering College Perundurai Tamil Nadu India

ISBN: (数字)9798331543624

ISBN: (纸本)9798331543631

The traditional styles of signal processing are passing constraints in their capability to handle the different and dynamic character of ultramodern data transfers. This is because communication systems are getting increasingly complicated. The operation of machine literacy presents a potentially useful answer since it enables data-driven, adaptive approaches that have the eventuality to ameliorate signal processing performance. This composition provides a comprehensive examination of a variety of machine literacy ways and their operations in important disciplines such as modulation recognition, noise reduction, channel estimation, and signal discovery. The study demonstrates how machine literacy ways may vastly increase the effectiveness, delicacy, and robustness of signal-processing tasks in communication systems. This is fulfilled through detailed analysis and comparison. With the help of machine literacy, unborn communication systems will be suitable to attain advanced situations of robotization and intelligence, which will pave the way for further developments in areas similar to wireless dispatches, the Internet of Effects(IoT), and other areas. In light of these findings, it's clear that machine literacy can fully transfigure assiduity by furnishing new shoes and approaches to the optimization of signal processing in the unborn generation of communication networks.

关键词： Wireless communication Communication systems Computational modeling Heuristic algorithms Noise reduction Modulation Channel estimation signal processing algorithms Machine learning Robustness

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Bayesian computer-intensive methods for statistical signal processing

Bayesian computer-intensive methods for statistical signal p...

引用

IEEE/SP Workshop on Statistical signal processing (SSP)

作者： S. Godsill University of Cambridge UK

Summary form only given. The talk discusses various computational techniques for solving complex inference problems in signal processing. The focus of the talk would be Monte Carlo methods, and in particular the sequential Monte Carlo methods which are currently proving extremely powerful for non-linear/non-Gaussian sequential environments. The author review the basic formulation of the sequential Monte Carlo framework, or particle filter, from the perspective of sequential updating of a general probability distribution, such as the posterior distribution of a hidden state or signal parameter. These methods, in their most basic forms, have proved very powerful for solving of non-linear problems in radar tracking, financial time series, communications, robotics and computer vision. In recent years increases in available computer power and memory have facilitated substantial algorithmic advances in these methods, allowing for more accurate inference and solution of more complex problems. In the second part of the talk the author describe some of these recent advances in sequential Monte Carlo, including Monte Carlo smoothers and trans-dimensional filters, which allow for on-line model selection. The methods described would be illustrated with examples from radar tracking, audio signal extraction and inference of musical beat from an audio waveform.

关键词： Bayesian methods signal processing Monte Carlo methods Radar tracking Particle filters Probability distribution Robot vision systems Computer vision signal processing algorithms Inference algorithms

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Improved reliability of impedance cardiography by new signal processing techniques

Improved reliability of impedance cardiography by new signal...

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

作者： S.P. Reddy L.Y. Shyu J.H. Nagel N. Schneiderman Dept. of Biomed. Eng. Psychol. & Med. Miami Univ. Coral Gables FL USA

The authors used the impedance cardiogram (ICG), the phonocardiogram (PCG), and the electrocardiogram (ECG) to determine stroke volume and systolic time intervals. Comparisons between a fully automated PC/AT-based signal processing system and a computer-assisted visual detection processing system revealed comparable means, standard errors, correlations (Spearman r), and reliability (Chronbach's alpha ) coefficients on all relevant parameters. Other analyses confirmed the utility of using Q onset to mark the beginning of ventricular systole, the B point of the ICG to denote the aortic opening, and end diastole as the reference for determining the amplitude of dZ/dt/sub mzx/.< >

关键词： Impedance Cardiography signal processing Electrocardiography Biomedical signal processing signal processing algorithms Computer errors Filters Computer displays System testing

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Chirp Sub-pulse Stepped Frequency Radar signal processing

Chirp Sub-pulse Stepped Frequency Radar Signal Processing

引用

International Symposiums on Information processing (ISIP)

作者： Wei Chongyu Yang Yang Cheng Junxian Qingdao University of Science and Technology Qingdao China Qingdao RPM Electronics Company Limited Qingdao China

Chirp-SF signal is a new kind of high range of resolution signal. This paper firstly points out that the traditional signal processing methods will cause “ghost images” when there is more than one scatter in a distance unit. Then a new method which including interfacing each sub-pulse in the Timeline and frequency shifting to Constitute a FM signal is proposed. We can solve this problem and have a high range resolution by execute the pulse compression on the synthetic signal. In the end, the simulation result is shown to prove the correction of the Algorithm.

关键词： Chirp signal resolution Frequency domain analysis Radar Time domain analysis signal processing algorithms

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Performance effects of using analog memory in baseband signal processing systems design

Performance effects of using analog memory in baseband signa...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： S. Hong W.E. Stark Dept. of Elect. and Comp Engin. State University of New York at Stony Brook Stony Brook NY USA Dept. of Elect. Engin. and Comp Sci. University of Michigan at Ann Arbor Ann Arbor MI USA

ISBN: (纸本)0780366859

Analog circuit realization of complex baseband signal processing is very promising solution for high speed, small size, and low-power applications. In this paper, we present random access analog memory model and investigate system performance effects of using the analog memory in system implementation of data transfer-intensive signal processing algorithms such as Viterbi decoder and FFT.

关键词： Analog memory Baseband signal processing Decoding Analog circuits signal processing algorithms Viterbi algorithm System performance Digital signal processing CMOS technology

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Using signal processing techniques for DNA sequence comparison

Using signal processing techniques for DNA sequence comparis...

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Annual Northeast Bioengineering Conference

作者： E.A. Cheever D.B. Searls W. Karunaratne G.C. Overton Department of Engineering Swarthmore College Swarthmore PA USA Paoli Research Center Unisys Corporation Paoli PA USA

The most widely used algorithm for the comparison of two sequences of DNA are O(m*n) on the lengths, m and n, of the sequences been compared. The authors present a comparison algorithm that is O(nlog n) on the length, n, of the longer sequence. This algorithm uses techniques developed for rapid comparison of two discrete signals, in particular, cross-correlation using the fast Fourier transform (FFT). The authors treat the DNA as a discrete signal with each nucleotide base represented by a single point in the signal. There are only four possible values that the signal can assume which they represent by one of four complex numbers. The comparison is made by performing a cross correlation between one signal and the complex conjugate of the other. Any significant peak in the resulting signal indicates a strong similarity between the two sequences. The authors present the results of comparison of two strains of the human immunodeficiency virus and of human and simian immunodeficiency viruses. Their results suggest that this technique is a powerful method for comparing very long sequences of DNA.< >

关键词： signal processing DNA Sequences signal processing algorithms Humans Genomics Bioinformatics Fourier transforms Fast Fourier transforms Educational institutions

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