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

共 3487 条记录，以下是391-400 订阅

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A LOW-PARAMETRIC MODEL FOR BIT-RATE ESTIMATION OF VVC RESIDUAL CODING 47

A LOW-PARAMETRIC MODEL FOR BIT-RATE ESTIMATION OF VVC RESIDU...

引用

47th IEEE International conference on Acoustics, Speech and signal processing (ICASSP)

作者： Brand, Fabian Herglotz, Christian Kaup, Andre Friedrich Alexander Univ Erlangen Nurnberg Multimedia Commun & Signal Proc Erlangen Germany

ISBN: (纸本)9781665405409

There are many tasks within video compression which require fast bit rate estimation. As an example, rate-control algorithms are only feasible because it is possible to estimate the required bit rate without needing to encode the entire block. With residual coding technology becoming more and more sophisticated, the corresponding bit rate models require more advanced features. In this work, we propose a set of four features together with a linear model, which is able to estimate the rate of arbitrary residual blocks which were compressed using the VVC standard. Our method outperforms other methods which were used for the same task both in terms of mean absolute error and mean relative error. Our model deviates by less than 4 bit on average over a large dataset of natural images.

关键词： Versatile Video Coding Rate Model Rate Control

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Wavelet transform of vibration signal of CNC machine tool based on python 3

Wavelet transform of vibration signal of CNC machine tool ba...

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3rd International conference on advanced algorithms and signal Image processing, AASIP 2023

作者： Guo, Sihan Li, Mu Wang, Xinwei School of Mechanical Engineering Shenyang Ligong University Shenyang110159 China

ISBN: (纸本)9781510668522

In this paper,wavelet transform of vibration signal of CNC machine tool is performed based on Python programming *** transform function in PyWavelets library,the signal is decomposed into sub-signals of different *** experimental results show that the vibration signal of CNC machine tool has multiple frequency components,and the noise reduction effect is obvious after wavelet transform of the By implementing wavelet analysis method,EMD[1],and EEMD through Python programming,the three feature extraction methods are compared,and it is concluded that wavelet transform can be more convenient for signal processing and analysis,and the analysis method and parameters Therefore,the wavelet analysis method of vibration signal of CNC machine tool based Therefore,the wavelet analysis method of vibration signal of CNC machine tool based on Python has high practicality and scalability,which can provide important support for the optimization design and machining accuracy improvement of machine tools. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Python

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Structured sparsity regularization for gravitational-wave polarization reconstruction 26

Structured sparsity regularization for gravitational-wave po...

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26th European signal processing conference (EUSIPCO)

作者： Feng, Fangchen Chassande-Mottin, Eric Bacon, Philippe Fraysse, Aurelia Univ Paris Diderot Sorbonne Paris Cite Obs Paris APCCNRSCEAIrfuIN2P3 F-75205 Paris France Univ Paris Sud Cent Supelec CNRS Lab Signaux & Syst Paris France

ISBN: (纸本)9789082797015

Gravitational-wave (GW) observations with a network of more than two advanced detectors open the possibility of reconstructing the two polarizations predicted by General Relativity. We propose to address this problem using sparsity promoting regularizations. We consider a variety of techniques, including "structured sparsity" that allows to explicitly model the intrinsic clustering effect occurring in the time-frequency representation of GW transient signals. The proposed methods are evaluated with simulated GW signals and real-world noise. Numerical simulations show the advantages of the proposed approaches.

关键词： Detectors Time-frequency analysis signal to noise ratio signal processing algorithms Europe Transient analysis

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advanced H.264/AVC ENCODER OPTIMIZATIONS ON A TMS320DM642 DIGITAL signal PROCESSOR

ADVANCED H.264/AVC ENCODER OPTIMIZATIONS ON A TMS320DM642 DI...

引用

16th International conference on Digital signal processing

作者： Schneider, Dorian Jeub, Marco Jun, Zhou Li, Song Tech Univ Berlin Dept Elect Engn D-1000 Berlin Germany Rhein Westfal TH Aachen Inst Commun Syst & Data Proc Aachen Germany Shanghai Jiao Tong Univ Inst Image Commun & Informat Peoc Shanghai Peoples R China

ISBN: (纸本)9781424432974

This paper discusses the optimization of the H.264/AVC video encoder in the context of a modified software implementation on a Texas Instruments TMS320DM642 digital signal processor. Several algorithmic optimizations are proposed to improve time critical parts of the codec like the quantization step and the pixel interpolation. The algorithms proposed in this paper invoke the Enhanced Direct Memory Access (EDMA) Controller, intrinsics and look-up tables to accelerate the encoding and do not affect the image Peak signal-to-Noise Ratio (PSNR) or compression performance. The computational acceleration gain of these algorithms are the foundation of our real time 30 CIF frames/second baseline implementation.

关键词： H.264 DSP Real-time Optimization EDMA

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Assessment of aimpoint selection performance utilizing feature selection algorithms and the signal processing environment for analysis and reduction (SPEAR)

Assessment of aimpoint selection performance utilizing featu...

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conference on signal and Data processing of Small Targets

作者： Bjork, C Blake, T Stark, B Nichols Res Corp Huntsville AL 35815 USA

ISBN: (纸本)0819428221

This paper presents the methodology and assessment of the passive and active sensor feature selection algorithms of interest to the Discriminating Interceptor Technology Program (DITP), as applied to aimpoint selection. The analysis identifies the performance achieved by utilizing individual sensor features and multi-sensor feature fusion. Traditional methods of determining the proper aimpoint have depended upon identifying target characteristics such as the geometric centroid, radiometric centroid, leading edge, and the trailing edge. Once these target points have been defined, the final aimpoint is selected by adding a bias to the target characteristic. However, these and similar algorithms have shown sensitivity to a priori knowledge of the threat, such as aspect angle, target length, thermal and dynamic characteristics. This paper will assess the utility of multi-sensor disparate sensor data to decrease performance sensitivity to a priori knowledge of the threat. These algorithms are among the feature selection algorithms in use in the DITP program for passive and active fused sensor discrimination. The analysis utilizes simulated infrared and ladar sensor data of a conical body that is initially at sufficient range to be realized as a slightly extended source on the focal plane, and then advanced through the later phase of the engagement to the point where the target is relatively close and highly resolved. The measures of performance consist of evaluating the deviations of the estimated aimpoint versus range to target, orientation angle, and aspect angle, for the feature selection algorithms considered.

关键词： sensor fusion feature extraction aimpoint selection discrimination intelligent processing infrared laser radar signal processing

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Laser characterization with advanced digital signal processing 7

Laser characterization with advanced digital signal processi...

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conference on Optical Metro Networks and Short-Haul Systems VII

作者： Piels, Molly Monroy, Idelfonso Tafur Zibar, Darko DTU Foton DK-2800 Lyngby Denmark

The use of machine learning techniques to characterize lasers with low output power is reviewed. Optimized phase tracking algorithms that can produce accurate noise spectra are discussed, and a method for inferring th... 详细信息

ISBN: (纸本)9781628414783

关键词： Nanocavity devices optical interconnects digital signal processing

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A mixed-radix 4-2 butterfly with simple bit revering for ordering the output sequences

A mixed-radix 4-2 butterfly with simple bit revering for ord...

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8th International conference advanced Communication Technology, ICACT 2006

作者： Young-jin, Moon Young-il, Kim Daejeon Korea Republic of

ISBN: (纸本)8955191294

In recent years, the Fast Fourier Transform (FFT) has been playing a very important role in the design and implementation of the discrete-time signal processing system. Therefore, various FFT algorithms have been proposed in this area over the last decades. Especially, the pipeline algorithms have been regarded as suitable algorithms for processing high-speed data. Up to now, several pipeline FFT algorithms such as the Radix-2, the Split-Radix and the Mixed-Radix have been proposed. In this paper, we developed a Mixed-Radix 4-2 Butterfly Structure with simple bit reversing output sequences derived by index decomposition technique which was used in the Radix-21 algorithm. Compared with the Radix-23 algorithm and the Split-Radix 2/4/8 algorithm, the proposed algorithm has the same number of multipliers and the less number of the stages and the butterflies than the Radix-23 and the Split-Radix 2/4/8 algorithm. Moreover, the proposed algorithm makes an offer the simple bit reversing for ordering the output sequences which is only supported by a fixed-radix FFT algorithm.

关键词： signal processing

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Cooperative processing with Multi-Robot Systems

Cooperative Processing with Multi-Robot Systems

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IEEE International conference on advanced Intelligent Mechatronics (AIM)

作者： Wagner, Maximilian Hess, Peter Reitelshoefer, Sebastian Franke, Joerg Nuremberg Inst Technol Nuremberg Campus Technol D-90429 Nurnberg Germany Nuremberg Inst Technol Fac Mech Engn & Bldg Serv Engn D-90489 Nurnberg Germany Friedrich Alexander Univ Erlangen Nurnberg FAU Inst Factory Automat & Prod Syst FAPS D-91058 Erlangen Germany

ISBN: (纸本)9781509060009

Multi-robot systems are increasingly utilized for cooperative industrial robot applications. In the scope of this work, a novel approach for the division of robot applications between multiple robots by handling the tool and the workpiece at the same time is presented. The approach has been tested successfully with a robot setup with two industrial robot arms. It is shown that the processing time can be reduced and the reachability can be improved by the developed approach. In order to compensate complex programming of the cooperative tasks, an automatic programming is also realized. Thus, the programming time can be significantly reduced.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks signal processing algorithms

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Study of a Novel ADM Algorithm with Pre-processing for Performance Improvement

Study of a Novel ADM Algorithm with Pre-processing for Perfo...

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International e-conference on advanced Science and Technology

作者： Sujatha, B. K. Satyanarayana, P. S. Haribhat, K. N. MS Ramaiah Inst Technol Bangalore Karnataka India B M S Coll Engn Bangalore Karnataka India Nagarjuna Coll Engn & Technol Bangalore Karnataka India

ISBN: (纸本)9780769536729

In this paper, a novel technique of a step-size adaptation algorithm for improving the signal-to-noise ratio (SNR) of Adaptive Delta Modulators (ADM) with one-bit quantization is presented. The two existing step-size algorithms- SONG and modified ABATE are discussed and also their performance comparison is made. For further improvement in the SNR with the proposed ADM includes an ADM with pre-processed signals which is also described. Large variations in the input signal require larger step sizes. If step size is not increased, it leads to slope-overload error. These large variations in the input signal are removed/smoothened by a suitable pre-processing method, one of which is using an integrator that can smoothen the rapid changes. From simulations it is confirmed that the new step-size algorithm for the ADM with pre-processing (proposed ADM) leads to an improvement in the SNR compared to the conventional ADM.

关键词： Adaptive Delta Modulation Delta Modulation A/D conversion Pre-processing Speech processing

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advanced signal processing for enabling next generation MEMS/NEMS sensors

Advanced signal processing for enabling next generation MEMS...

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conference on Micro (MEMS) and Nanotechnologies for Defense and Security

作者： George, T. Ben-Menahem, S. Gulati, S. Wang, E. Breaux, J. K. Bromley, B. ViaLogy LLC 2400 Lincoln Ave Altadena CA 91001 USA

ISBN: (纸本)9780819466785

The development of advanced signal processing algorithms specifically for Micro/Nano Electro Mechanical Systems (MEMS/NEMS) based sensors has been largely unexplored and can be regarded as the single most important area for improving the performance of these devices. In this paper we present three classes of algorithms that were created to extract weak signals from devices operating in different sensing modalities. The first, stochastic resonance approach, named Active signal processing, depends on improving signal-to-noise ratio (SNR) by injecting noise into the measurement. ViaLogy invented and successfully demonstrated the Quantum Resonance Interferometry (QRI) algorithm, a quantum stochastic resonance (QSR)-based technique for improving SNR. QRI processing involves the QSR-based generation of a Quantum Expressor Function (QEF) for the sensor, encoding within it the noise environment, minimum level of detection, and the precision of measurement. signal detection is achieved by the destruction of the resonance condition responsible for generating the system QEF. The next algorithm, also known as the "swept window" Maximum Aposteriori Probability algorithm, was developed for the case of signals with discrete statistics such as low analyte ion fluxes in mass spectrometers. Finally, a novel, ViaLogy-developed "Multi Scale Estimator" algorithm showed significant improvement over the Allan Deviation behavior of a state-of-the-art MEMS microgyroscope.

关键词： MEMS NEMS algorithm sensor signal processing microarray mass spectrometer gyroscope Allan deviation maximum aposteriori probability quantum resonance interferometry

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