Search for dissertations about: "spatial sparsity"
Showing result 1 - 5 of 14 swedish dissertations containing the words spatial sparsity.
-
1. Scalable Bayesian spatial analysis with Gaussian Markov random fields
Abstract : Accurate statistical analysis of spatial data is important in many applications. Failing to properly account for spatial autocorrelation may often lead to false conclusions. READ MORE
-
2. Parameter Estimation Using Sparse Modeling: Algorithms and Performance Analysis
Abstract : The idea of representing a signal in a classical computing machine has played a central role in the field of signal processing. The last two decades have witnessed an important breakthrough in this by taking all possible linear transforms and domains into account. READ MORE
-
3. Baseband Processing for 5G and Beyond: Algorithms, VLSI Architectures, and Co-design
Abstract : In recent years the number of connected devices and the demand for high data-rates have been significantly increased. This enormous growth is more pronounced by the introduction of the Internet of things (IoT) in which several devices are interconnected to exchange data for various applications like smart homes and smart cities. READ MORE
-
4. Sparse Modeling of Grouped Line Spectra
Abstract : This licentiate thesis focuses on clustered parametric models for estimation of line spectra, when the spectral content of a signal source is assumed to exhibit some form of grouping. Different from previous parametric approaches, which generally require explicit knowledge of the model orders, this thesis exploits sparse modeling, where the orders are implicitly chosen. READ MORE
-
5. Spatial Resource Allocation in Massive MIMO Communications : From Cellular to Cell-Free
Abstract : Massive MIMO (multiple-input multiple-output) is considered as an heir of the multi-user MIMO technology and it has gained lots of attention from both academia and industry since the last decade. By equipping base stations (BSs) with hundreds of antennas in a compact array or a distributed manner, this new technology can provide very large multiplexing gains by serving many users on the same time-frequency resources and thereby bring significant improvements in spectral efficiency (SE) and energy efficiency (EE) over the current wireless networks. READ MORE