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POTENTIAL DIGITIZATION-COMPRESSION TECHNIQUES FOR SHUTTLE VIDEO

IEEE TRANSACTIONS ON COMMUNICATIONS 1978年第11期26卷 1671-1682页

作者： HABIBI, A BATSON, BH NASA LYNDON B JOHNSON SPACE CTRHOUSTONTX 77058

The Space Shuttle initially will be using a field-sequential color television system but it is possible that an NTSC color TV system may be used for future missions. In addition to downlink color TV transmission via analog FM links, the Shuttle will use a high resolution slow-scan monochrome system for uplink transmission of text and graphics information. This paper discusses the characteristics of the Shuttle video systems, and evaluates digitization and/or bandwidth compression techniques for the various links. The more attractive techniques for the downlink video are based on a two-dimensional DPCM encoder that utilizes temporal and spectral as well as the spatial correlation of the color TV imagery. An appropriate technique for distortion-free coding of the uplink system utilizes two-dimensional HCK codes.

关键词： Video compression Downlink Bandwidth Image coding Cameras Phase change materials Graphics Digital TV Costs signal processing algorithms

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Statistical-Mechanical Analysis of Adaptive Filter With Clipping Saturation-Type Nonlinearity

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IEEE TRANSACTIONS ON signal processing 2022年 70卷 4867-4882页

作者： Miyoshi, Seiji Kansai Univ Fac Engn Sci Dept Elect Elect & Informat Engn Suita Osaka 5648680 Japan

In most practical adaptive signal processing systems, e.g., active noise control, active vibration control, and acoustic echo cancellation, substantial nonlinearities that cannot be neglected exist. In this paper, we analyze the behaviors of an adaptive system in which the output of the adaptive filter has the clipping saturation-type nonlinearity by a statistical-mechanical method. We discuss the dynamical and steady-state behaviors of the adaptive system by performing asymptotic analysis, steady-state analysis, and numerical calculation. As a result, it is clarified that the saturation value has a critical point at which the system's mean-square stability and instability switch. The obtained theory well explains the strange behaviors around the critical point observed in the computer simulation. Finally, the exact value of the critical point is also derived.

关键词： Adaptive systems Behavioral sciences signal processing algorithms Steady-state Analytical models Linearity Adaptive filters Adaptive filter adaptive signal processing system identification LMS algorithm clipping saturation-type nonlinearity piecewise linearity statistical-mechanical analysis

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A VLSI PROCESSOR FOR PARALLEL CONTOUR TRACING

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IEEE TRANSACTIONS ON signal processing 1992年第2期40卷 429-438页

作者： AGI, I HURST, PJ JAIN, AK Solid-state Circuits Research Laboratory Department of Electrical Engineering and Computer Science University of California Davis CA USA Computer Vision Research Laboratory Department of Electrical Engineering and Computer Science University of California Davis CA USA

A custom IC processor that traces contours in black-and-white images is described. The CMOS IC contains a finite state machine, ALU, input delay line, and RAM. Each processor extracts the edges from a rectangular portion of the input image and traces the edges, outputting a description of the contours. A complete tracing system employs an array of these processors. The array architecture allows expansion to handle arbitrarily large images. The processors trace independently, thereby providing fully parallel high-speed operation. Partial contours are generated as a result of the partitioning of the image among the processors. A postprocessor links any partial contours created by the subdivision of the input image. The contour-tracing algorithm and simulation results for compression ratio and number of operations are presented. The architecture and measured performance of the IC are described.

关键词： Very large scale integration signal processing algorithms Read-write memory Automata Pixel CMOS integrated circuits Delay lines Partitioning algorithms Biomedical measurements

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A Data Driven Empirical Iterative Algorithm for GSR signal Pre-processing

A Data Driven Empirical Iterative Algorithm for GSR Signal P...

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European signal processing Conference (EUSIPCO)

作者： Arvind Gautam Neide Simoes-Capela Giuseppina Schiavone Amit Acharyya Walter de Raedt Chris Van Hoof Electrical Engineering Department Indian Institute of Technology Hyderabad Sangareddy India Electrical Engineering Department - ESAT KU Leuven Heverlee Belgium IMEC-NL Eindhoven The Netherlands IMEC Heverlee Belgium

In this paper, we introduce a data driven iterative low pass filtering technique, the Empirical Iterative Algorithm (EIA) for Galvanic Skin Response (GSR) signal preprocessing. This algorithm is inspired on Empirical Mode Decomposition (EMD), with performance enhancements provided by applying Midpoint-based Empirical Decomposition (MED), and removing the sifting process in order to make it computational inexpensive while maintaining effectiveness towards removal of high frequency artefacts. Based on GSR signals recorded at the wrist we present an algorithm benchmark, with results from EIA being compared with a smoothing technique based on moving average filter - commonly used to pre-process GSR signals. The comparison is established on data from 20 subjects, collected while performing 33 different randomized activities with right hand, left hand and both hands, respectively. In average, the proposed algorithm enhances the signal quality by 51%, while the traditional moving average filter reaches 16% enhancement. Also, it performs 136 times faster than the EMD in terms of average computational time. As a show case, using the GSR signal from one subject, we inspect the impact of applying our algorithm on GSR features with psychophysiological relevance. Comparison with no preprocessing and moving average filtering shows the ability of our algorithm to retain relevant low frequency information.

关键词： signal processing algorithms Iterative methods Wrist Skin Biomedical monitoring Filtering signal to noise ratio

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

Signal processing techniques for reliability improvement of ...

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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...

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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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Recursive neural networks for signal processing and control

Recursive neural networks for signal processing and control

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IEEE Workshop on Neural Networks for signal processing

作者： D. Hush C. Abdallah B. Horne Department of Electrical and Computer Engineering University of New Mexico Albuquerque NM USA

The authors describe a special type of dynamic neural network called the recursive neural network (RNN). The RNN is a single-input single-output nonlinear dynamical system with a nonrecursive subnet and two recursive subnets arranged in the configuration shown. The authors describe the architecture of the RNN, present a learning algorithm for the network, and provide some examples of its use.< >

关键词： Neural networks signal processing Process control Recurrent neural networks Nonlinear dynamical systems signal processing algorithms Multilayer perceptrons Delay Nonlinear control systems Output feedback

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Bayesian computer-intensive methods for statistical signal processing

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

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

Tunnelized Cyclostationary Signal Processing: A Novel Approa...

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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...

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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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