標(biāo)題: Titlebook: Compressed Sensing in Information Processing; Gitta Kutyniok,Holger Rauhut,Robert J. Kunsch Book 2022 The Editor(s) (if applicable) and Th [打印本頁(yè)] 作者: 棕櫚等 時(shí)間: 2025-3-21 17:12
書(shū)目名稱Compressed Sensing in Information Processing影響因子(影響力)
書(shū)目名稱Compressed Sensing in Information Processing影響因子(影響力)學(xué)科排名
書(shū)目名稱Compressed Sensing in Information Processing網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Compressed Sensing in Information Processing網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Compressed Sensing in Information Processing被引頻次
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書(shū)目名稱Compressed Sensing in Information Processing讀者反饋
書(shū)目名稱Compressed Sensing in Information Processing讀者反饋學(xué)科排名
作者: 蒙太奇 時(shí)間: 2025-3-21 23:58
Strategisches Vertriebsmanagementtion, and phase retrieval. Over the last two decades, a number of works have rigorously analyzed the reconstruction performance for such scenarios, giving rise to a rather general understanding of the potential and the limitations of low-rank matrix models in sensing problems. In this chapter, we co作者: Foregery 時(shí)間: 2025-3-22 01:00 作者: separate 時(shí)間: 2025-3-22 04:44 作者: 飛行員 時(shí)間: 2025-3-22 09:51
Methoden der Produktentwicklung,We first show that the asymptotic analysis of a sparse recovery algorithm is mathematically equivalent to the problem of calculating the free energy of a . in the thermodynamic limit. We then use the . from statistical mechanics to evaluate the performance in the asymptotic regime. The asymptotic re作者: Comprise 時(shí)間: 2025-3-22 13:09 作者: Comprise 時(shí)間: 2025-3-22 18:12
Evidenz für strategisches Koalitionsw?hlene constraints may result from prior information on the measurement system and the sparse signal structure. They may involve the structure of the sensing matrix, the structure of the non-zero support values, the temporal structure of the sparse representation vector, and the nonlinear measurement str作者: Obsequious 時(shí)間: 2025-3-22 21:36 作者: figurine 時(shí)間: 2025-3-23 05:19
Strategisches W?hlen in Deutschlandhe present setup, we consider a scenario in which the .-array base station (BS) receives a number of noisy pilot signals from a single-antenna transmitter and has to estimate the ASF with high resolution using the pilot signals. In general, the ASF is a non-negative function that may consist not onl作者: 民間傳說(shuō) 時(shí)間: 2025-3-23 05:50
Strategisches und soziales Nischenmanagementa point . (transmitter location) to any point . on a planar domain. For applications such as user-cell site association and device-to-device link scheduling, an accurate knowledge of the pathloss function for all pairs of transmitter–receiver locations is very important. In realistic propagation env作者: 頭腦冷靜 時(shí)間: 2025-3-23 11:59
https://doi.org/10.1007/978-3-658-27467-2hoes (PMSEs). Atmospheric received signals are stochastic and result from the scattering of non-homogeneous atmospheric irregularities. Atmospheric radar systems used in atmospheric radar imaging operate at very high frequencies (VHFs) due to the frequency-dependent scattering properties of the atmo作者: 凝乳 時(shí)間: 2025-3-23 17:52 作者: 感情脆弱 時(shí)間: 2025-3-23 18:41 作者: Maximizer 時(shí)間: 2025-3-24 00:08
https://doi.org/10.1007/978-3-658-39384-7ary methods. Samples taken at continuously varying positions encode parameters that describe the particular sound field in the measurement volume. Parameter decoding imposes a deconvolution problem in the time dimension and an interpolation problem in the spatial dimension, which can be both integra作者: 總 時(shí)間: 2025-3-24 04:28
,Qualit?tskontrolle der Lieferantenleistung,l sampling scheme used for such measurements is heavily oversampled. However, several problems arise when reducing the sampling points, since the lack of . knowledge of the radiation characteristics complicates the choice of the points that do, in fact, contain information. Additionally, the conside作者: 縮減了 時(shí)間: 2025-3-24 09:09 作者: 神經(jīng) 時(shí)間: 2025-3-24 13:05 作者: 土坯 時(shí)間: 2025-3-24 15:36 作者: GLUE 時(shí)間: 2025-3-24 22:34
978-3-031-09747-8The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 性別 時(shí)間: 2025-3-25 00:28
Strategisches und soziales NischenmanagementMultiuser . (MIMO) consists of exploiting multiple antennas at the base station (BS) side, in order to multiplex over the spatial-domain several data streams to a number of users sharing the same time–frequency transmission resource (channel bandwidth and time slots).作者: Circumscribe 時(shí)間: 2025-3-25 04:32 作者: 售穴 時(shí)間: 2025-3-25 11:04 作者: SHRIK 時(shí)間: 2025-3-25 13:41 作者: vocation 時(shí)間: 2025-3-25 17:08 作者: pulmonary 時(shí)間: 2025-3-25 23:56
New Challenges in Covariance Estimation: Multiple Structures and Coarse Quantization,dent samples. Based on massive multiple-input multiple-output (MIMO) systems, we illustrate the necessity of leveraging structure and considering quantization of samples when estimating covariance matrices in practice. We then provide a selective survey of theoretical advances of the last decade foc作者: 放棄 時(shí)間: 2025-3-26 03:50 作者: 變色龍 時(shí)間: 2025-3-26 05:25 作者: BRAND 時(shí)間: 2025-3-26 10:51
Unbiasing in Iterative Reconstruction Algorithms for Discrete Compressed Sensing,sed how the underlying problem can be separated into feasible parts, establishing the blocks of iterative schemes. It is shown that the information exchange between the blocks is of importance. This step is discussed and represented via an unbiasing operation subsequent to a minimum mean-squared err作者: 指耕作 時(shí)間: 2025-3-26 13:53 作者: 糾纏,纏繞 時(shí)間: 2025-3-26 18:17 作者: 搖擺 時(shí)間: 2025-3-27 00:44 作者: Hot-Flash 時(shí)間: 2025-3-27 04:02
Fast Radio Propagation Prediction with Deep Learning,a point . (transmitter location) to any point . on a planar domain. For applications such as user-cell site association and device-to-device link scheduling, an accurate knowledge of the pathloss function for all pairs of transmitter–receiver locations is very important. In realistic propagation env作者: Engaging 時(shí)間: 2025-3-27 06:39 作者: fluoroscopy 時(shí)間: 2025-3-27 12:04
Over-the-Air Computation for Distributed Machine Learning and Consensus in Large Wireless Networks,ted consensus algorithms and distributed Machine Learning. For the latter, we specifically consider an application of OTA computation in Horizontal and Vertical Federated Learning. We then survey some of our own contributions to these fields, which include a scheme for analog Over-the-Air computatio作者: LANCE 時(shí)間: 2025-3-27 16:09
Information Theory and Recovery Algorithms for Data Fusion in Earth Observation,?..))?+?.. and their applications in remote sensing. We focus on the identification of feed-forward artificial neural networks and on quantized compressed sensing via message passing. Besides theoretical guarantees, we provide novel algorithmic approaches and numerical solutions, and we show concret作者: 使出神 時(shí)間: 2025-3-27 18:27 作者: HALO 時(shí)間: 2025-3-28 01:01
Compressed Sensing in the Spherical Near-Field to Far-Field Transformation,l sampling scheme used for such measurements is heavily oversampled. However, several problems arise when reducing the sampling points, since the lack of . knowledge of the radiation characteristics complicates the choice of the points that do, in fact, contain information. Additionally, the conside作者: arterioles 時(shí)間: 2025-3-28 05:44 作者: 呼吸 時(shí)間: 2025-3-28 06:18
Strategisches Vertriebsmanagementoximate dual certificates and the golfing scheme, which are often better suited to deal with practical measurement structures, but sometimes lead to weaker guarantees. Lastly, we review recent progress toward analyzing descent cones also for structured scenarios—exploiting the idea of splitting the 作者: 尊敬 時(shí)間: 2025-3-28 11:20
https://doi.org/10.1007/978-3-031-58971-3 the channel, that is, the covariance of its spreading function. Along with a review of known results, we present some new insights on the problem and discuss how to utilize linear side constraints on the covariance as in the case of deterministic channels. We also present some numerical simulations作者: photophobia 時(shí)間: 2025-3-28 18:40 作者: 胖人手藝好 時(shí)間: 2025-3-28 21:09 作者: Fatten 時(shí)間: 2025-3-29 00:27
Strategisches W?hlen in Deutschlanding the mapping from the latter to the former. We also provide a solid comparison with other approaches, showing that the trained network outperforms others in both qualitative and quantitative terms.作者: 發(fā)出眩目光芒 時(shí)間: 2025-3-29 03:36 作者: 的染料 時(shí)間: 2025-3-29 09:17
https://doi.org/10.1007/978-3-658-27467-2ave also used MIMO on simple ARI application, i.e., a single scattering target on a given range and frequency, in combination with compressed sensing to develop a novel multistatic radar system called SIMONe to study the mesosphere and lower thermosphere dynamics with unprecedented temporal and spat作者: burnish 時(shí)間: 2025-3-29 12:15 作者: gastritis 時(shí)間: 2025-3-29 18:33
,Qualit?tskontrolle der Lieferantenleistung,spherical near field, which are spherical harmonics and Wigner D-functions. Still, the reduction of measurement points does not automatically guarantee a reduction in measurement time, since considerations on the mechanical speed at which the data points can be acquired come into play. For this reas作者: 脆弱么 時(shí)間: 2025-3-29 23:33
Hierarchical Compressed Sensing,ly restricted to the signal class. We then provide a series of results establishing the required condition for large classes of measurement ensembles. Building upon this machinery, we sketch practical applications of this framework in machine-type communications and quantum tomography.作者: 能夠支付 時(shí)間: 2025-3-30 00:40
Proof Methods for Robust Low-Rank Matrix Recovery,oximate dual certificates and the golfing scheme, which are often better suited to deal with practical measurement structures, but sometimes lead to weaker guarantees. Lastly, we review recent progress toward analyzing descent cones also for structured scenarios—exploiting the idea of splitting the 作者: 可互換 時(shí)間: 2025-3-30 06:26
Sparse Deterministic and Stochastic Channels: Identification of Spreading Functions and Covariances the channel, that is, the covariance of its spreading function. Along with a review of known results, we present some new insights on the problem and discuss how to utilize linear side constraints on the covariance as in the case of deterministic channels. We also present some numerical simulations作者: audiologist 時(shí)間: 2025-3-30 11:19
Recovery Under Side Constraints,lexity. Finally, we address the measurement system design for linear and nonlinear measurements of sparse signals. To this end, we derive a new linear mixing matrix design based on coherence minimization. Then, we extend our focus to nonlinear measurement systems where we design parallel optimizatio作者: 并入 時(shí)間: 2025-3-30 16:05 作者: Predigest 時(shí)間: 2025-3-30 19:34 作者: brassy 時(shí)間: 2025-3-30 21:52
Fast Radio Propagation Prediction with Deep Learning, how to estimate the pathloss function, given an urban environment, with comparable accuracy to ray-tracing methods, but orders of magnitude faster. The radio map estimation problem is seen as an image-to-image task, in which the map of the city and additional domain information are transformed to t作者: Aviary 時(shí)間: 2025-3-31 01:03
Atmospheric Radar Imaging Improvements Using Compressed Sensing and MIMO,ave also used MIMO on simple ARI application, i.e., a single scattering target on a given range and frequency, in combination with compressed sensing to develop a novel multistatic radar system called SIMONe to study the mesosphere and lower thermosphere dynamics with unprecedented temporal and spat作者: 狂熱語(yǔ)言 時(shí)間: 2025-3-31 06:45
Sparse Recovery of Sound Fields Using Measurements from Moving Microphones,mates according to the compressed-sensing paradigm. The framework is based on a sound-field representation by notional grid points in space, and dynamic samples are interpreted as the result of bandlimited interpolation on that grid using sampled sinc-function approximations. This procedure leads to作者: 烤架 時(shí)間: 2025-3-31 09:44
Compressed Sensing in the Spherical Near-Field to Far-Field Transformation,spherical near field, which are spherical harmonics and Wigner D-functions. Still, the reduction of measurement points does not automatically guarantee a reduction in measurement time, since considerations on the mechanical speed at which the data points can be acquired come into play. For this reas作者: 慎重 時(shí)間: 2025-3-31 16:32 作者: motor-unit 時(shí)間: 2025-3-31 19:43
