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Artykuły w czasopismach na temat "Non-uniform wavelet sampling"
Pelissier, Michael, i Christoph Studer. "Non-Uniform Wavelet Sampling for RF Analog-to-Information Conversion". IEEE Transactions on Circuits and Systems I: Regular Papers 65, nr 2 (luty 2018): 471–84. http://dx.doi.org/10.1109/tcsi.2017.2729779.
Pełny tekst źródłaAldroubi, Akram. "Non-uniform weighted average sampling and reconstruction in shift-invariant and wavelet spaces". Applied and Computational Harmonic Analysis 13, nr 2 (wrzesień 2002): 151–61. http://dx.doi.org/10.1016/s1063-5203(02)00503-1.
Pełny tekst źródłaSun, Zongzheng, Yinghui Quan i Zhixing Liu. "A Non-Uniform Interrupted-Sampling Repeater Jamming Method for Intra-Pulse Frequency Agile Radar". Remote Sensing 15, nr 7 (30.03.2023): 1851. http://dx.doi.org/10.3390/rs15071851.
Pełny tekst źródłaDe Vito, Luca, Grazia Iadarola, Francesco Lamonaca, Francesco Picariello, Sergio Rapuano i Ioan Tudosa. "Non-Uniform Wavelet Bandpass Sampling Analog-to-Information Converter: A hardware implementation and its experimental assessment". Measurement 134 (luty 2019): 739–49. http://dx.doi.org/10.1016/j.measurement.2018.11.015.
Pełny tekst źródłaChui, Charles K., Yu-Ting Lin i Hau-Tieng Wu. "Real-time dynamics acquisition from irregular samples — With application to anesthesia evaluation". Analysis and Applications 14, nr 04 (27.04.2016): 537–90. http://dx.doi.org/10.1142/s0219530515500165.
Pełny tekst źródłaHe, Yi, Peng Cheng, Shanmin Yang i Jianwei Zhang. "Three-Dimensional Face Recognition Using Solid Harmonic Wavelet Scattering and Homotopy Dictionary Learning". Entropy 24, nr 11 (13.11.2022): 1646. http://dx.doi.org/10.3390/e24111646.
Pełny tekst źródłaMartín del Campo, Gustavo, Yuriy Shkvarko, Andreas Reigber i Matteo Nannini. "TomoSAR Imaging for the Study of Forested Areas: A Virtual Adaptive Beamforming Approach". Remote Sensing 10, nr 11 (17.11.2018): 1822. http://dx.doi.org/10.3390/rs10111822.
Pełny tekst źródłaManokhin, Mikhail, Paul Chollet i Patricia Desgreys. "Towards Flexible and Low-Power Wireless Smart Sensors: Reconfigurable Analog-to-Feature Conversion for Healthcare Applications". Sensors 24, nr 3 (3.02.2024): 999. http://dx.doi.org/10.3390/s24030999.
Pełny tekst źródłaSun, Chengfa, Hui Cui, Weidong Zhou, Weiwei Nie, Xiuying Wang i Qi Yuan. "Epileptic Seizure Detection with EEG Textural Features and Imbalanced Classification Based on EasyEnsemble Learning". International Journal of Neural Systems 29, nr 10 (grudzień 2019): 1950021. http://dx.doi.org/10.1142/s0129065719500217.
Pełny tekst źródłaDavis, Anthony B., Alexander Marshak, Robert F. Cahalan i Warren J. Wiscombe. "Interactions: Solar and Laser Beams in Stratus Clouds, Fractals & Multifractals in Climate & Remote-Sensing Studies". Fractals 05, supp02 (październik 1997): 129–66. http://dx.doi.org/10.1142/s0218348x97000875.
Pełny tekst źródłaRozprawy doktorskie na temat "Non-uniform wavelet sampling"
Back, Antoine. "Conception et intégration d'un convertisseur analogique-paramètres flexible pour les capteurs intelligents". Electronic Thesis or Diss., Institut polytechnique de Paris, 2022. http://www.theses.fr/2022IPPAT020.
Pełny tekst źródłaThe Internet of Things (IoT) is currently experiencing huge developments. IoT includes lots of different devices such as Wireless Sensors Networks (WSN) or wearable electronics that rely on wireless communications. These networks need to understand the context in which they are used. This mean that the system must know what is happening around it, i.e. sense the environment, and understands the needs of the user. This requires always-on sensing on many sensors while being small, cheap, reliable and having a lifetime of several years. Analog-to-Feature (A2F) conversion is a new acquisition method that was thought for IoT devices. The converter aims at extracting useful features directly on the analog signal. By carefully choosing a set of features, it is possible to acquire only the relevant information for a given task. The proposed converter is based on the Non-Uniform Wavelet Sampling (NUWS) architecture. The architecture mixes the analog signal with tunable wavelets prior to integration and digital conversion. The aim of the thesis is to propose a method to design a generic A2F converter based on the NUWS. It includes the definition of the wavelet parameters in order to acquire a broad range of low frequency signals (ECG, EMG, EEG, speech …). This step requires the use of feature selection algorithms and machine learning algorithms for selecting the best set of wavelets for a given application and should be used to define the specifications for the converter. The feature selection step must be aware of physical implementation constraints to optimize energy consumption as much as possible. A feature selection algorithm is proposed to choose wavelets for a given application, in order to maximize classification accuracy while decreasing power consumption, through a power model designed in CMOS 0.18μm
Części książek na temat "Non-uniform wavelet sampling"
"Non-uniform sampling in multiply generated shift-invariant subspaces of 𝐿^{𝑝}(ℝ^{𝕕})". W Wavelet Analysis and Applications, 1–8. Providence, Rhode Island: American Mathematical Society, 2002. http://dx.doi.org/10.1090/amsip/025/01.
Pełny tekst źródłaStreszczenia konferencji na temat "Non-uniform wavelet sampling"
Walter, G. G. "Non-uniform sampling in wavelet subspaces". W 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258). IEEE, 1999. http://dx.doi.org/10.1109/icassp.1999.758335.
Pełny tekst źródłaMalhotra, Hari Krishan, i Lalit Kumar Vashisht. "Construction of Non-Uniform Parseval Wavelet Frames for L2 (R) via UEP". W 2019 13th International conference on Sampling Theory and Applications (SampTA). IEEE, 2019. http://dx.doi.org/10.1109/sampta45681.2019.9030867.
Pełny tekst źródłaBo, Liu, Zhang Qi, Liu Guofu i Xie Xiufen. "Non-uniform Sampling Signal Spectral Estimation of Tire Pressure Monitoring System Using Wavelet Transform". W 2007 8th International Conference on Electronic Measurement and Instruments. IEEE, 2007. http://dx.doi.org/10.1109/icemi.2007.4351052.
Pełny tekst źródłaPelissier, Michael, Gilles Masson, Laurent Ouvry, Luis Felipe Fonseca Dias i Marguerite Marnat. "Hardware platform of Analog-to-Information converter using Non Uniform Wavelet Bandpass Sampling for RF signal activity detection". W 2018 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2018. http://dx.doi.org/10.1109/iscas.2018.8351834.
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