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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181-190 订阅

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Comparing signal processing and Neural Networks for DFT Applications 2

Comparing Signal Processing and Neural Networks for DFT Appl...

引用

2nd IEEE International conference on advanced Technologies in Intelligent Control, Environment, Computing and Communication Engineering, ICATIECE 2022

作者： Akasha, T. Kulkarni, Keerti BNM Institute of Technology Dept. of ECE Bengaluru India

ISBN: (纸本)9781665493963

Machine Learning algorithms have found their application is all the domain of engineering. In this work, we try to compare the performance of traditional signal processing algorithms and neural networks for the calculation of Discrete Fourier Transform. The Discrete Fourier Transform (DFT) is of greater importance in all areas of digital signal processing. Calculating the frequency spectrum of a signal is the fundamental goal of DFT. The phase, frequency, and magnitude of a signal's component sinusoids are all contained in its frequency spectrum. Given the importance of DFT, it is necessary to evaluate which algorithm or method is efficient and takes very less time in computing the results. In this paper, two different methods, namely Fast Fourier Transform (FFT), which is a tradition signal processing algorithm and Deep Neural Networks (DNN) are used to compute DFT on a random discrete signal and are compared based on the time taken to execute the algorithms. © 2022 IEEE.

关键词： Deep neural networks

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Multidatabase ECG signal processing 5

Multidatabase ECG signal processing

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5th International conference on advanced Technologies for signal and Image processing (ATSIP)

作者： Romdhane, Taissir Fekih Ouni, Ridha Atri, Mohamed Univ Sousse ENISo Elect Engn Dept Sousse Tunisia Coll Comp & Informat Sci KSU Dept Comp Engn Riyadh Saudi Arabia King Khaled Univ Phys Dept Coll Comp Sci Abha Saudi Arabia

ISBN: (纸本)9781728175133

An Electrocardiogram (ECG) records the electrical activity of the heart to locate the abnormalities. ECG signal processing is an emerging tool for the cardiologists in medical diagnosis for effective treatments. Many researches focus on how to improve preprocessing and processing algorithms in order to classify ECG signals with low cost and high accuracy. These algorithms consist of removing all types of noise that contaminate the ECG recording as well as extracting the most important features. In this paper, we present a useful Matlab GUI to analyze and classify ECG signal using efficient preprocessing and processing techniques. These techniques allow acquiring ECG recorders from various universal cardiac databases, filtering them using Butterworth low pass filter and IIR notch filter and extracting the most important cardiac features based on discrete wavelet transform db6.

关键词： arrhythmia cardiac databases ECG signal Notch filter signal processing Wavelet Transform

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Adaptive Filtering for Noise Cancellation and signal Analysis in Real-time

Adaptive Filtering for Noise Cancellation and Signal Analysi...

引用

43rd European Microwave conference (EuMC)

作者： Frech, Arnd Kluegel, Markus Russer, Peter GAUSS INSTRUMENTS GmbH Munich Germany Tech Univ Munich Inst Nanoelect D-80290 Munich Germany

ISBN: (纸本)9782874870316

This paper presents advanced digital signal algorithms for adaptive filtering applied for noise cancellation and signal analysis in real-time. Correlated and not-correlated signal parts are distinguished by such methods based on the statistical characteristics of the received signals. Real-time measurements of electromagnetic interference (EMI) in noisy environments are shown. An advanced digital signal processing technique for fast measurements of electromagnetic interferences is presented, carrying out the measurements in time-domain and reducing the total measurement time by orders of magnitude. For optimum noise suppression performance, different approaches of adaptive filter algorithms were investigated and enhanced with respect to implementation of the noise cancelling algorithm on field programmable gate arrays (FPGA) and enabling signal processing in real-time. Noise suppressing in real-time is shown in frequency bands of over 125MHz at once. Several real-time bands up to 1 GHz are measured and signals completely covered by ambient noise could be successfully detected, e. g. in the DAB, the DVB-T and LTE frequency bands.

关键词： signal interference

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A sharpness metric implementation for image processing applications with feedback

A sharpness metric implementation for image processing appli...

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conference on advanced signal processing algorithms, Architectures, and Implementantions XVIII

作者： Lam, Eric P. Thales Rayheon Syst Battlefield Radar Fullerton CA USA

ISBN: (纸本)9780819472946

Some image processing applications require an image meet a quality metric before processing it. If an image is so degraded that it is difficult or impossible to reconstruct, the input image may be discarded. In this paper, we present a metric that measures the relative sharpness with respect to a reference image frame. The reference frame may be a previous input image or an output frame from the system. The sharpness metric is based on analyzing edges. The assumption of this problem is that input images are similar to each other in terms of observation angle and time.

关键词： image processing system closed-loop system sharpness metric edge frame

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Denoising using time-frequency and image processing methods

Denoising using time-frequency and image processing methods

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conference on advanced signal processing algorithms, Architectures, and Implementations IX

作者： Nelson, D Cristóbal, G Kober, V Cakrak, F Loughlin, P Cohen, L US Dept Def Ft Meade MD 20755 USA

ISBN: (纸本)0819432938

We present a number of methods that use image and signed processing techniques for removal of noise from a signal. The basic idea is to first construct a time-frequency density of the noisy signal. The time-frequency density, which is a function of two variables, can then be treated as an "image", thereby enabling use of image processing methods to remove noise and enhance the image. Having obtained an enhanced time-frequency density, one then reconstructs the signal. Various time frequency-densities are used and also a number of image processing methods are investigated. Examples of human speech and whale sounds are given. In addition, new methods are presented for estimation of signal parameters from the time-frequency density.

关键词： Electronic filtering Interference (communication) Fourier transforms Time-frequency analysis Frequency modulation Fermium Transform theory signal processing Optical filters Filtering (signal processing)

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Waveform Design for Sparse signal processing in Radar

Waveform Design for Sparse Signal Processing in Radar

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IEEE Radar conference (RadarConf)

作者： Anitori, Laura Ender, Joachim TNO Radar Technol The Hague Netherlands Univ Siegen Fraunhofer FHR Siegen Germany

ISBN: (纸本)9781728176093

In the past decades, there has been an extensive research interest in the areas of both waveform diversity/design and advanced signal processing algorithms departing from the more classical solutions based on Linear Frequency Modulated (LFM) pulses and Matched Filters (MF). In the waveform diversity community, especially within the context of spectrum sharing, MIMO and cognitive radars, several waveform optimization and design methodologies have been studied, see [1], [2] and references therein. In parallel to waveform design, several signal processing techniques have also been proposed which exploit some kind of prior knowledge and/or iterative algorithms to improve the performance of the more classical MF, such as the Adaptive Pulse Compression(APC) [3], MUSIC [4], CLEAN [5] and Sparse signal processing (SSP) [6], [7]. In this paper we present some results and examples to show how the combination of waveform design with SSP can lead to improved performance in radar compared to the more classical approach.

关键词： Target tracking Radar measurements signal processing algorithms Receivers Object detection Radar tracking Radar signal processing

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Respiratory Rate Monitoring by Video processing Using Local Motion Magnification 26

Respiratory Rate Monitoring by Video Processing Using Local ...

引用

European signal processing conference (EUSIPCO)

作者： Alinovi, Davide Ferrari, Gianluigi Pisani, Francesco Raheli, Riccardo Univ Parma Dept Engn & Architecture Parma Italy Univ Parma Dept Med & Surg Parma Italy

ISBN: (纸本)9789082797015

Breathing monitoring by non-contact video processing has been the subject of recent research. This paper presents an advanced video processing algorithm for reliable Respiratory Rate (RR) monitoring based on the analysis of local video variations and a motion magnification method. This novel algorithm improves over the existing solutions in terms of estimation accuracy and excision of large body movements unrelated with respiration. Applications to adults and infants are presented to demonstrate the performance of the proposed algorithm and compare it with previous work.

关键词： Monitoring signal processing algorithms Estimation Streaming media Data mining Transforms Europe

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Analytical approximations of translational subpixel shifts in signal and image registrations

Analytical approximations of translational subpixel shifts i...

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conference on advanced signal processing algorithms, Architectures, and Implementantions XVIII

作者： Zhang, Qiang Wake Forest Univ Hlth Sci Biostat Sci Dept Winston Salem NC 27157 USA

ISBN: (纸本)9780819472946

Analytical approximations of translational subpixel shifts in both signal and image registrations are derived by setting the derivatives of a normalized cross correlation function to zero and solving them. Without the need of iterative searching, this methods achieves a complexity of only O(mn), given an image size of m x n. Without the need to upsample, computation memory is also saved. Tests using simulated signals and images show good results.

关键词： Subpixel image registration image superresolution

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MUSIC like algorithms for Fast Direction of Arrival Estimation

MUSIC like Algorithms for Fast Direction of Arrival Estimati...

引用

1st International conference on advanced Technologies for signal and Image processing (ATSIP)

作者： Akkar, Salem Harabi, Ferid Gharsallah, Ali Fac Sci Tunis Unit Res High Frequency Elect Circuits & Syst El Manar 2092 Tunisia

ISBN: (纸本)9781479948888

this paper proposes two Unitary MUSIC-like algorithms, requiring only linear operations, for Directions of Arrival (Do As) estimation problem. The constraints on the proposed algorithms are the same imposed onto the standard MUSIC algorithm allowing high resolution localisation capabilities with a reduced computation cost and lower processing time as compared to the existing schemes. We demonstrate that the introduced Orthogonal Decompositions (OD) technique, for noise subspace estimation, can efficiently replace the requirement of Singular Value Decomposition (SVD) or Eigenvalue Decomposition (EVD) which leads to a reduced computational complexity and makes the Do As estimation faster while maintaining comparable estimation accuracy. The simulation results confirm that high resolution Do As estimation can be achieved by the developed methods and prove the validity of our approach.

关键词： Multiple signal classification Direction of arrival estimation algorithms processing time Singular value decomposition complexity classes Simulation results

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Low Complexity Variable Leaky Normalised Orthogonal Gradient Adaptive Algorithm 31

Low Complexity Variable Leaky Normalised Orthogonal Gradient...

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31st IEEE International conference on advanced Information Networking and Applications (IEEE AINA)

作者： Sitjongsataporn, Suchada Nurarak, Piyaporn Mahanakorn Univ Technol Fac Engn Ctr Elect Syst Design & Signal Proc CESdSP 140 Cheumsamphan Rd Bangkok 10530 Thailand Sukhothai Thammathirat Open Univ Sch Sci & Technol 9-9 Chaengwattana Rd Nonthaburi 11120 Thailand

ISBN: (纸本)9781509062317

In this paper, a variable leaky normalised orthogonal gradient adaptive algorithm approach and leaky criterion is proposed for wireless communications in areas of adaptive signal processing. In order to enhance convergence rate and a low misadjustment error, a leak criterion is introduced with a quantised leak adjustment function. A convergence analysis of proposed modified leaky mechanism is presented. Simulation results confirm that the proposed algorithm can significantly outperform the convergence rate compared with the existing algorithm.

关键词： signal processing algorithms Steady-state Convergence Algorithm design and analysis OFDM Adaptive algorithms Bit error rate

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