Sparse channel meaning
Web18. júl 2024 · Specifically, a clustered-sparse channel distribution model is constructed to characterize the delay power spectrum and temporal correlation of each cluster in the … WebThe term sparse in general means that there are more elements that are zero valued or very close to zero in comparison to the number of non-zero. In speech deonvolution research …
Sparse channel meaning
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Web1. nov 2016 · This means that the sparse channel has K dominant taps which are randomly distributed within the length of the channel. The simulated channel estimation performance are shown in Fig. 3, Fig. 4, Fig. 5 for K=1, K=4 and K=8, respectively. Web1. jan 2005 · The other approach is to directly exploit the fact that UWA channels are naturally sparse, meaning that most channel energy is concentrated on a few delay and/or Doppler values [5], [6].
Websparse adjective uk / spɑːs / us / spɑːrs / small in numbers or amount, often spread over a large area: a sparse population / audience sparse vegetation / woodland a sparse beard Information coming out of the disaster area is sparse. Synonym thin (FEW) SMART … sparse meaning: 1. small in numbers or amount, often spread over a large area: … sparsely definition: 1. with only a small number or amount of people or things: 2. … sparse translate: 稀少的；稀疏的，零落的. Learn more in the Cambridge English … sparse translate: 稀少的；稀疏的，零落的. Learn more in the Cambridge English … Web21. jún 2024 · The multi-domain sparse properties of the virtual channel tensor can be effectively captured by a group of low-dimensional hyper-parameters, and thus reduce the computational complexity. In addition, the Cramer-Rao lower bound is derived for the proposed channel extrapolation. Simulation results show the superior performance of the …
Webchannel sparsity yielded noticeable gain in sparse mmWave channels when the number of training symbols was less than the number of the reflecting elements in the IRS. B. … Web27. máj 2009 · Sparsity of the channel is a criterion which can highly improve the channel estimation task in mobile applications. In sparse signal processing, many efficient …
Web26. jan 2024 · A multipath channel in which most of the channel path coefficients are zero and a few of them are non-zero is called a sparse channel. Some communication problems for OFDM systems, contain channels with large delay spread and a smaller non-zero support [ …
Web2. feb 2024 · In the channel estimation,,which means that the spreading function has few nonzero elements compared with its dimensionLh.Thus,h is a structured sparse vector in (25),and the channel estimation problem in(25)can be formulated as a structured sparse signal recovery problem.we shall treat h as a deterministic but unknown vector.Next,we … gowling wlg all about lawWeb8. mar 2024 · Sparse channel arises in a number of applications in wireless communications such as channel estimation and signal processing. There is growing … gowling wlg address torontoWeb1. sep 2013 · A sparse multipath channel is characterized by a small number of randomly distributed scatterers. This study proposes a methodology for the modelling of sparse … children\u0027s tylenol grapeWebsparse definition: 1. existing only in small amounts over a large area: 2. A room that is sparse contains little…. Learn more. gowling wlg birmingham vacation scheme 2023Web20. okt 2024 · In these scenarios, the channel has the sparse characteristic which means that there are only limited multi paths with different Doppler frequency offsets (DFOs) … children\u0027s tylenol grape flavorWeb1. apr 2024 · It can be seen from Fig. 2 (a) that there is a relatively mild channel environment. The sound velocity profile follows weak positive gradient which is conducive to underwater acoustic communication. Fig. 2 (b) shows the channel impulse response of the sea trial is relatively sparse. There are four stable and obvious multipaths within 0 ∼ 4 ms, … gowling wlg calgary addressWebIn fact, the multi-path channel is always sparse [3,4,5], which means that most of the channel impulse response (CIR) coefficients are small while only a few of them are large in magnitude . Since the CIR is sparse, many channel estimation algorithms have been presented to utilize this characteristic to improve the communication quality [2,7 ... gowling wlg canada s.e.n.c.r.l. s.r.l