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检索条件"任意字段=Conference on Advanced Signal Processing Algorithms"

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Distributed Tracking in Distributed Sensor Networks

Distributed Tracking in Distributed Sensor Networks

引用

American Control conference (ACC)

作者： Chee-Yee Chong Kuo-Chu Chang Shozo Mori Advanced Decision Systems Mountain View CA USA

A distributed sensor network (DSN) consists of a set of processing nodes collecting data from sensors. When the nodes communicate, each node fuses the information received from other nodes with the local information to update its estimate on the state of the world. Previous papers have dealt with the theoretic algorithms for tracking multiple targets using a DSN. This paper considers the processing functions performed by each DSN node and presents some simulation results on tracking vehicles moving over a road network.

关键词： Target tracking signal processing algorithms Sensor systems Fuses Intelligent networks State estimation Road vehicles Communication networks Hardware Military computing

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APPLICATION OF AN advanced signal processing ENGINE TO ADAPTIVE TECHNIQUES.

APPLICATION OF AN ADVANCED SIGNAL PROCESSING ENGINE TO ADAPT...

引用

Proceedings - ICASSP 85, IEEE International conference on Acoustics, Speech, and signal processing.

作者： Ricker, George G. Richey, Manuel F. Hughes Aircraft Co Fullerton CA USA Hughes Aircraft Co Fullerton CA USA

The authors develop an architecture that is matched to the computational requirements of a typical radar system and show how it can be implemented with the new integrated signal-processing devices. An analysis has been conducted to determine the relationship between multiplications, additions, and memory accesses for those algorithms requiring the highest data throughput including an adaptive array process. An architecture for a signal processing engine is then developed that is matched to the relative ratios for these functions. This signal processing engine is sized using configurable gate array integrated circuits to implement each of its major functions. Finally, an estimate is made of the number of engines required to process these algorithms.

关键词： signal processing

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ADAPTIVE DIGITAL FILTERING OF DIFFERENTIALLY CODED signalS.

ADAPTIVE DIGITAL FILTERING OF DIFFERENTIALLY CODED SIGNALS.

引用

Proceedings - ICASSP 85, IEEE International conference on Acoustics, Speech, and signal processing.

作者： Lee, J.W. Un, C.K. Lee, J.C. Korea Advanced Inst of Science & Technology Dep of Electrical Engineering Seoul South Korea Korea Advanced Inst of Science & Technology Dep of Electrical Engineering Seoul South Korea

The performance and realization of adaptive digital filters (ADFs) for differentially coded signals have been studied. A general formula that realizes the LMS algorithm for differentially coded signals is first derived. This formula is used for realization of ADM and ADPCM ADFs. Then, applying these algorithms to channel equalization, the authors study the performance of the two filters for the cases of using a time-varying and a constant convergence factor. If the dynamic range and the sensitivity of the variation of parameter values are considered as the important performance factors, the ADPCM ADF with a time-varying convergence factor is preferred. However, when the system complexity is considered, the use of the ADM ADF with a time-varying convergence factor is desirable.

关键词： signal FILTERING AND PREDICTION

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HIGH-PERFORMANCE OPTICAL MATRIX PROCESSORS.

HIGH-PERFORMANCE OPTICAL MATRIX PROCESSORS.

引用

CLEO '85: 5th IEEE/OSA conference on Lasers and Electro-Optics.

作者： Athale, Ravindra A. US Naval Research Lab Washington DC USA US Naval Research Lab Washington DC USA

Summary form only given. There have been various proposals for using binary encoding of data to achieve high accuracy in matrix computation. The author reviews the relevant issues that limit the performance of these processors and affect their comparison to purely electronic systems and analog optical systems. Basic matrix operations can be cascaded in different orders to implement different algorithms in signal processing and image processing. Several example of these algorithms and their mapping onto optical architectures are discussed. Finally, some examples of optical matrix processors under advanced development are presented and some future directions examined.

关键词： IMAGE processing

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Application of an advanced signal processing engine to adaptive techniques

Application of an advanced signal processing engine to adapt...

引用

International conference on Acoustics, Speech, and signal processing (ICASSP)

作者： G. Ricker M. Richey Hughes Aircraft Company Fullerton CA USA

The fortunes of signal processors are directly related to progress in integrated circuit technology. This technology has experienced recent advances in logic design density and increased clock rates that will have significant impact on the performance of signal processors for the next 4 to 5 years. The objective of this paper is to develop an architecture that is matched to the computational requirements of a typical RADAR system and show how it can be implemented with these new devices. An analysis has been conducted to determine the relationship between multiplications, additions, and memory accesses for those algorithms requiring the highest data throughput including an adaptive array process. An architecture for a signal processing engine is then developed that is matched to the relative ratios for these functions. This signal processing engine is then sized using configurable gate array integrated circuits to implement each of it's major functions. Finally, an estimate is made of the number of engines required to process these algorithms.

关键词： Adaptive signal processing Engines signal processing algorithms signal processing Integrated circuit technology Computer architecture Array signal processing Logic design Clocks Radar

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A Method of Achieving Fully Automatic Frequency Management for HF Systems

A Method of Achieving Fully Automatic Frequency Management f...

引用

MILCOM, Military Communications conference

作者： Dan O. Weddle L. D. Witkemper Collins Defence Communications ROCKWELL INTERNATIONAL USA

This paper describes the automatic frequency management system (AFMS) approach which is currently being developed and tested by Rockwell to satisfy new and evolving requirements to make HF communications systems more self-adaptive to the channel requirements and less operator-intensive. Most modern HF systems currently utilize digital data modulation in conjunction with digitized or analog voice modulation to transfer information across secure or non-secured links. The established trend is toward all digital networks in which record traffic, facsimile, and synthesized or real time (digital) voice modes are accommodated by digital signal processing (DSP) techniques to transfer data in a significantly more robust fashion than was possible prior to the advent of DSP technology. The AFMS system described here will ultimately exploit this trend toward digitized data by extracting from normal communications the link quality information needed to measure the channel. The measurement data currently being tested is extracted from advanced link quality analyzer (ALQA) test transmissions and is reduced to a single MOF value for each measured link by a MOF determination algorithm. This algorithm allows n measured links to provide the MOF data necessary to adequately forecast the MUF on m unmeasured links, where n is much less than m. The forecasting technique is based on providing near-real time updates (pseudo SSN) to the well known MINIMUF 3.5 model. The measurement and forecasting process is carried out continuously and automatically allowing the updates to the in-place frequency plan.

关键词： Automatic frequency control Hafnium Digital signal processing Digital modulation Data mining Current measurement signal processing algorithms Automatic testing System testing Communication system traffic

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IMPACT OF advanced COMPUTATIONAL TECHNIQUES ON DIGITAL AVIONICS signal PROCESSOR PERFORMANCE.

IMPACT OF ADVANCED COMPUTATIONAL TECHNIQUES ON DIGITAL AVION...

引用

Proceedings of the AIAA/IEEE 6th Digital Avionics Systems conference.

作者： Vojir, William M. Grumman Aerospace Corp Bethpage NY USA Grumman Aerospace Corp Bethpage NY USA

The application of the Winograd technique and prime factor algorithm to the discrete Fourier transform is examined. The case of 24-point transform is used to illustrate the effect of overhead computational architectures. Attention is then given to more exotic algorithms and their possible impact on digital avionics design. The possibility of entirely eliminating multiplications from certain filtering operatings is then considered. Finally the impact of advanced CAE techniques on signal processing system design is analyzed.

关键词： signal processing

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Adaptive image smoothing algorithms for edge and texture preservation

Adaptive image smoothing algorithms for edge and texture pre...

引用

International conference on Acoustics, Speech, and signal processing (ICASSP)

作者： K. Tao ESL Inc. Sunnyvale CA USA

A class of reasonably simple and efficient adaptive algorithms are developed to enhance noise degraded images while preserving the edge and texture information. Techniques from one-dimensional adaptive signal processing and systems identification are extended and applied to two-dimensional image smoothing through proper modelling of the image. Both the AR and ARMA models are treated. The conceptual separation of "image causality" and "processing causality" is advocated. advanced topics that are covered include: faster computation algorithms, simultaneous contrast stretching and smoothing, etc.

关键词： Smoothing methods Predictive models signal processing algorithms Pixel Statistics Adaptive filters Java Adaptive algorithm Degradation Adaptive signal processing

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A performance comparison of pitch extraction algorithms for noisy speech

A performance comparison of pitch extraction algorithms for ...

引用

International conference on Acoustics, Speech, and signal processing (ICASSP)

作者： K. Oh C. Un Department of Electrical Engineering Korea Advanced Institute of Science and Technology Seoul South Korea

Results of a performance comparison study of eight pitch extraction algorithms for noisy as well as clean speech are presented. These algorithms are the autocorrelation method with center clipping, the autocorrelation method with modified center clipping, the simplified inverse filter tracking (SIFT) method, the average magnitude difference function (AMDF) method, the pitch detection method based on LPC inverse filtering and AMDF, the data reduction method, the parallel processing method and the cepstrum method. It has been found that for pitch detection of noisy speech the algorithm that uses an AMDF or an autocorrelation function yields relatively good performance than others. A pitch detector that uses center clipped speech as an input signal is effective in pitch extraction of noisy speech. In general, preprocessing such as LPC inverse filtering or center clipping of input speech yields remarkable improvement in pitch detection.

关键词： Detectors Autocorrelation Speech processing Speech analysis Detection algorithms Speech enhancement Acoustic noise Linear predictive coding Filtering Parallel processing

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A manpack portable LPC 10 vocoder

A manpack portable LPC 10 vocoder

引用

International conference on Acoustics, Speech, and signal processing (ICASSP)

作者： B. Fette C. Rimpo J. Kish Motorola Government Electronics Group Scottsdale AZ USA

A manpack portable LPC-10 Vocoder has been developed which makes substantial size and power performance improvements over existing LPC Vocoders. This is accomplished through the use of distributed processing using the latest VLSI digital signal processing technology and advanced microcomputer technology. First the LPC-10 standard algorithm was partitioned into high performance digital signal processing tasks that may stand alone as VLSI devices. The remaining LPC-10 algorithmic components are partitioned by the data and process flow graphs into meaningful multi-purpose stand alone single chip computers, resulting in a vocoder that uses 3 VLSI, and 3 LSI components. The digital signal processing algorithms are partitioned as follows: LPC Analysis IC, LPC Synthesis IC, AMDF Pitch Extraction IC. The data flow processes are partitioned into microcomputers as follows: Transmit Pitch and Voicing in processor #1, Transmit AGC in processor #2, and Parameter Quantization and Serialization in processor #3; in the receive mode sync acquisition and maintenance and parameter deserialization in processor #3, error correction and dequantization in processor #2, and interpolation rule implementation in processor #1. The data flow processor's partitions were greatly affected by the use of single chip computers. These computers have a very limited RAM and ROM space causing the partition to be dependent on program size. The use of single chip computers minimizes external hardware necessary for the vocoder implementation.

关键词： Linear predictive coding Vocoders Very large scale integration Digital signal processing chips Partitioning algorithms signal processing algorithms Integrated circuit synthesis Digital integrated circuits Microcomputers Data flow computing

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