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检索条件"主题词=Signal processing algorithms"

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Development of the theory, methods and algorithms of optimal space-time ultrawideband signal processing for radio-thermal radiation

Development of the theory, methods and algorithms of optimal...

引用

International Conference on Antenna Theory and Techniques

作者： V. K. Volosyuk V. F. Kravchenko V. V. Pavlikov National Aerospace University named after N.E. Zhukovsky ‘Kharkiv Aviation Institute’ Ukraine Russian Academy of Sciences Kotel'nikov Institute of Radio Engineering and Electronics Moscow Russia

A new concept for solving statistical synthesis problems of radiometric devices and systems (RDS) is developed. The reasonability of using ultra-wideband (UWB) RDSs is substantiated. The basic data of mathematical apparatus of V-transforms employed when processing space-time UWB fields and their statistical characteristics is given. A wide class of UWB RDS statistical synthesis problems (compensation, zero-type, modified modulation type, modulation compensation type, multi-antenna systems including cross-correlation-compensation systems and aperture synthesis systems) of stationary and scanning types are solved. The appropriateness of using the Kravchenko weighting functions for refinement of primary radiometric images in radiometric scanning devices is substantiated.

关键词： signal processing algorithms Radiometers Modulation Algorithm design and analysis Receivers

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A digital signal processing chip for iterative deconvolution restoration algorithms

A digital signal processing chip for iterative deconvolution...

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IEEE Instrumentation and Measurement Technology Conference

作者： R.B. Whitted P.B. Crilly Communications Information and Signal Processing (CISP) Group Department of Electrical and Computer Engineering University of Tennessee Knoxville TN USA

A VLSI DSP chip is presented that will significantly improve the processing throughput for a general class of iterative deconvolution algorithms. The design will be based on a systolic array concept. This will enable these algorithms to be used for real time DSP applications which formerly due to speed limitations were not possible. The increased class of applications will enable further understanding of these applications. The higher throughput will also enable the researcher to further take advantage of the features unique to iterative deconvolution.< >

关键词： Digital signal processing chips Deconvolution signal restoration signal processing algorithms Iterative algorithms Wiener filter Throughput Spectroscopy Additive noise Distortion

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Approximate signal processing using incremental refinement and deadline-based algorithms

Approximate signal processing using incremental refinement a...

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

作者： S.H. Nawab J.M. Winograd ECS Department Boston University Boston MA USA

A framework for approximate signal processing is introduced which can be used to design novel classes of algorithms for performing DFT and STFT calculations. In particular, we focus on the derivation of multi-stage incremental refinement algorithms that meet a variety of design criteria on the tradeoff achieved at each stage between solution quality and computational cost.

关键词： signal processing algorithms Algorithm design and analysis Discrete Fourier transforms Approximation algorithms Computational efficiency Costs Equations signal design Refining Problem-solving

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Performance tuning of iterative algorithms in signal processing

Performance tuning of iterative algorithms in signal process...

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International Conference on Field Programmable Logic and Applications

作者： Z. Pohl J. Kadlec P. Sucha Z. Hanzdlek Institute of Information Theory and Automation Academy of Sciences슠of the슠Czech Republic Czech Republic Academy of Sciences of the Czech Republic Institute of Information Theory and Automation CAK Czech Technical University in Prague Czech Republic CAK Czech Technical University in Prague

Presented high-level synthesis describes scheduling for wide class of DSP algorithms. Several FPGA vendors or even ASIC designs are targeted via Handel-C compiled by Celoxica DK3.1 compiler. Using the authors' approach, the designer can easily change type of used pipelined arithmetic modules and then check new performance. The optimal time schedule is found by cyclic scheduling using integer linear programming while minimizing the schedule period in the terms of clock cycles. Experimental results in HW implementation, performed on logarithmic arithmetic and floating-point arithmetic, confirm significant influence of the period on the resulting performance of DSP algorithms.

关键词： Iterative algorithms signal processing algorithms Digital signal processing Floating-point arithmetic High level synthesis Scheduling algorithm Field programmable gate arrays Application specific integrated circuits Integer linear programming Clocks

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A new structure for adaptive signal processing with combined FIR & IIR filtering algorithms

A new structure for adaptive signal processing with combined...

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

作者： J. Jiang R. Doraiswami Department of Electrical Engineering University of New Brunswick Canada

A new adaptive algorithm for system identification and adaptive signal processing has been proposed in this paper. The algorithm can be viewed as a combination of the output error type and the equation error type of identifier (i.e. a combination of IIR adaptive filter and FIR adaptive filter in signal processing application). It has been shown both mathematically and by computer simulation that the proposed algorithm can guarantee the globally asymptotical stability under certain regularity conditions on the distribution of signal modes. The transient behaviour of the algorithm is better than conventional output error type of identifier, especially in the case where the system model (signal model) has its eigenvalues on the unit circle. Under certain conditions on the system model (signal model), no moving average (MA) smoothing of the generalized error is needed for the strictly positive realness (SPR) conditions. It gives a reduced bias on the parameter estimate (compare to conventional adaptive FIR filter) when corresponding equation error is a bandlimited process.

关键词： Adaptive signal processing Finite impulse response filter Filtering algorithms signal processing algorithms Computer errors Equations Adaptive filters Adaptive algorithm System identification Application software

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Genetic algorithms for control and signal processing

Genetic algorithms for control and signal processing

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International Conference on Industrial Electronics, Control and Instrumentation

作者： K.F. Man K.S. Tang Department of Electronic Engineering City University of Hong Kong Hong Kong China

The practical application of genetic algorithms (GA) to the solution of engineering problems is a rapidly emerging approach in the field of control engineering and signal processing. This tutorial provides a comprehensive coverage of the techniques involved, describing the characteristics, advantages and constraints of GA, as well as discussing genetic operations such as crossover, mutation and reinsertion. The intrinsic characteristics in term parallelism, multiobjective, and multimodal etc. are outlined. The features of this approach are illustrated by real-world applications. Also described is a newly proposed and unique hierarchical genetic algorithm designed to address the problem in determining system topology.

关键词： Genetic algorithms Process control signal processing algorithms Biological cells Genetic mutations Guidelines Wheels Control engineering Random number generation Testing

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High-radix CORDIC algorithms for VLSI signal processing

High-radix CORDIC algorithms for VLSI signal processing

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IEEE Workshop on signal processing Systems (SIPS)

作者： T. Aoki H. Nogi T. Higuchi Graduate School of Information Sciences University of Tohoku Sendai Japan

This paper presents high-radix CORDIC algorithms for high-speed sine and cosine computation. Since the CORDIC calculation takes O(n) steps for evaluating a function in n-bit precision, significant reduction of processing latency is required for real-time signal processing applications. In this paper, we present a unified approach to low-latency CORDIC implementation based on high-radix algorithms, and propose "radix-2-4-8 CORDIC processor", which achieves low-latency computation by changing radix during execution.

关键词： signal processing algorithms Very large scale integration Delay Algorithm design and analysis Application software Hardware Equations Convergence signal generators Digital signal processors

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Fetal ECG signal processing by Different ICA-based algorithms

Fetal ECG Signal Processing by Different ICA-based Algorithm...

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International Symposium on Advanced Electrical and Communication Technologies (ISAECT)

作者： Rene Jaros Radek Martinek Lukas Danys Jan Latal Petr Siska Department of Cybernetics and Biomedical Engineering VSB-Technical University of Ostrava Ostrava Czech Republic Department of Telecommunications VSB-Technical University of Ostrava Ostrava Czech Republic

ISBN: (数字)9781728137292

ISBN: (纸本)9781728137308

This article deals with fetal electrocardiography (fECG) processing using independent component analysis (ICA). Testing is performed on 7 synthetic recordings with a different level of signal-to-noise ratio (SNR) and the evaluation is performed on calculation of improvement SNR and root mean square error (RMSE). The experiment was based on testing multiple algorithms based on the ICA method, such as the algorithm based on kurtosis value, the algorithm based on negentropy value and the algorithm called kurtosis maximization ICA. The results showed that all ICA-based algorithms a lot improve SNR and have a low value of RMSE, which indicates that signals after filtration are almost similar to the reference signals. All three ICA-based algorithms could be used for fECG extraction, but the lowest accuracy was achieved by the algorithm called kurtosis maximization ICA.

关键词： signal to noise ratio Electrodes Approximation algorithms signal processing algorithms Electrocardiography Independent component analysis Mathematical model

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Hyperbolic rotation of subspaces and VLSI algorithms for signal processing and numerical linear algebra

Hyperbolic rotation of subspaces and VLSI algorithms for sig...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： J. Gotze R. Pauli U. Schwiegelshohn Institute on network theory and circuit design Munich Germany IBM Thomas J. Watson Research Center Yorktown Heights NY USA

Starting from the viewpoint of linear physical systems, a brief study is presented of energy-conserving or J-orthogonal transformations in a space with an indefinite metric under the special aspect of their VLSI realization. A mesh-connected array of n/sup 2/ processor cells, each performing a plane hyperbolic rotation, is shown to be the most natural of n-dimensional subspaces. Isometric linear fractional maps of contractive matrices to the zero matrix and hyperbolic Cholesky factorization are presented as the most interesting applications in generalized Schur methods, digital signal processing, and numerical linear algebra. Using the Cholesky factorization as an example, a square-root- and division-free computation scheme for hyperbolic rotations that is highly suited for VLSI implementation is presented.< >

关键词： signal processing algorithms Very large scale integration Circuit synthesis Extraterrestrial measurements Digital signal processing Linear algebra Coordinate measuring machines Energy measurement Power measurement Length measurement

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A Fair Play Comparison of Neural Networks algorithms in Speech signal processing

A Fair Play Comparison of Neural Networks Algorithms in Spee...

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IEEE International Conference on Multi Topic

作者： S K Hasnain Pervez Akhter Pakistan Navy Engineering College Karachi Pakistan

The separation of noise from speech signals has always been a necessary requirement and is being demanded in speech signal processing applications as an important factor to achieve clear speech while communicating. In the last decade, some research on the separation of speech and noise has been published. In previous research work some traditional algorithms were used, such as least mean squares, the nearest neighbour and the quadratic Gaussian algorithms. This paper provides an extensive experimental simulation of speech with and without noise to solve the filtering problem. An FIR digital filter is designed and proposed to train a neural network. The experimental results show that using neural networks in noise separation produce a more robust and powerful separation of speech and noise than other traditional algorithms. Furthermore, the FIR digital filter provides a fast convergence and gives results near the global optimal. The neural networks such as Elman, radial base function and perceptron networks are trained with different training algorithms and compared with the performance of FIR digital filter including its computational complexity. It is found that an algorithm chosen to train the neural network is very important to the final results

关键词： signal processing algorithms Neural networks Speech processing Speech enhancement Finite impulse response filter Digital filters signal processing Filtering Noise robustness Convergence

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