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Spatially coupled low-density parity-check codes can be decoded using a graph-based message passing algorithm applied across the total length of the coupled graph. However, considering practical constraints on decoding latency and complexity, a sliding window decoding approach is normally preferred. In order to reduce decoding complexity compared with standard parallel decoding schedules, serial s

It is essential to capture the cross-correlation properties of large-scale parameters (LSPs) among different base station links in cooperative multilink systems in order to make realistic performance assessments. In this work, propagation measurements are used to study the cross-correlation properties of different LSPs, namely large-scale fading, delay spread, azimuth spread, and elevation spread

In this paper, we present a novel sliding window decoding scheme based on iterative Bahl-Cocke-Jelinek-Raviv decoding for braided convolutional codes, a class of turbo-like codes with short constraint length component convolutional codes. The tradeoff between performance and decoding latency is examined and, to reduce decoding complexity, both uniform and nonuniform message passing schedules withi

We introduce successive cancellation (SC) decoding of product codes (PCs) with single parity-check (SPC) component codes. Recursive formulas are derived, which resemble the SC decoding algorithm of polar codes. We analyze the error probability of SPC-PCs over the binary erasure channel under SC decoding. A bridge with the analysis of PCs introduced by Elias in 1954 is also established. Furthermore

This thesis focuses on algorithms and proofs of concepts in the area of wireless systems operating with a large number of antennas, especially at the base station side.The first studied topic concerns the design and implementation of massive multiple-input multiple-output (MIMO) testbeds, primarily for communications. This is an entirely new engineering challenge on its own, due to the unprecedent

A fully automatic system for abdominal organ segmentation is presented. As a first step, an organ localization is obtained via a robust and efficient feature registration method where the center of the organ is estimated together with a region of interest surrounding the center. Then, a convolutional neural network performing voxelwise classification is applied. The convolutional neural network co

Background. Search and selection of primary studies in Systematic Literature Reviews (SLR) is labour intensive, and hard to replicate and update. Aims. We explore a machine learning approach to support semi-automated search and selection in SLRs to address these weaknesses. Method. We 1) train a classi er on an initial set of papers, 2) extend this set of papers by automated search and snowballing

Abundant data is the key to successful machine learning. However, supervised learning requires annotated data that are often hard to obtain. In a classification task with limited resources, Active Learning (AL) promises to guide annotators to examples that bring the most value for a classifier. AL can be successfully combined with self-training, i.e., extending a training set with the unlabelled e

In sensor network applications with low traffic intensity, idle channel listening is one of the main sources of energy waste. The use of a dedicated low-power wake-up receiver (WRx), which utilizes duty-cycled channel listening, can significantly reduce the idle listening energy cost. Extreme low-power design typically leads to performance losses, indirectly increasing energy costs. Striking the r

We consider designing demodulators for linear vector channels that use reduced-size trellis descriptions for the received signal. We assume an iterative receiver and use interference cancellation (IC) with soft-information provided by an outer decoder to mitigate the signal part that is not covered by a reduced-size trellis description. In order to reach a trellis description, a linear filter is a

We consider the potential for positioning with a system where antenna arrays are deployed as a large intelligent surface (LIS), which is a newly proposed concept beyond massive multi-input multi-output (MIMO) where future man-made structures are electronically active with integrated electronics and wireless communication making the entire environment "intelligent". In a first step, we derive Fishe

In this paper, we consider the potential of data-transmission in a system with a massive number of radiating and sensing elements, thought of as a contiguous surface of electromagnetically active material. We refer to this as a Large Intelligent Surface (LIS). The "LIS" is a newly proposed concept, which conceptually goes beyond contemporary massive MIMO technology, and arises from our vision of a

In this paper, we introduce the concept of spatially coupled turbo-like codes (SC-TCs) as the spatial coupling of a number of turbo-like code ensembles. In particular, we consider the spatial coupling of parallel concatenated codes, introduced by Berrou et al., and that of serially concatenated codes (SCCs), introduced by Benedetto et al. Furthermore, we propose two extensions of braided convoluti

Hsu–Kasami–Chien (HKC) are a class of cyclic codes that can correct either burst or random errors. This paper studies the maximum burst-correcting capability of HKC codes. A necessary and sufficient condition for a b- burst-correcting cyclic HKC code is given and simplified as a generalized one for Fire codes. An upper bound on the burstcorrecting capability of HKC codes is derived, which improves

Valutamarknaden är den största finansiella marknaden där cirka USD 5tn omsätts varje dag. Många aktörer inom finansvärlden har börjat bygga sofistikerade algoritmer för att försöka få en positiv avkastning i automatiserad valutahandel. I det här examensarbetet så undersöks Gaussian Process Regression (GPR) för maskininlärning. Fördelen med GPR är att det är en icke-parametrisk metod, vilket innebäMachine learning and its application within finance have gained popularity the last decade. The traditional trading roles are changing rapidly and are being increasingly automated with algorithmic trading strategies, by proprietary trading firms, market makers, and other financial institutions. FX trading often involves strategies in the form of technical analysis – suggesting that the efficient m

Introduction: New technology has allowed for alternative nancing methods to arise. In equity crowdfunding anyone is allowed to invest in unlisted growth companies through an online platform, which gives companies access to previously unavailable capital and allows individuals to take part of the company's journey earlier on. Having a crowd of hundreds or thousands as an owner can bring many be

Syfte: Syftet med studien är att undersöka effekten av ett kartläggningsbesök med efterföljande telefonuppföljning på användande av kommunikationsstrategier och hörselrelaterad livskvalitet för individer med betydande hörselnedsättning (TMV4 60-69 dB HL på bättre örat). Metod: Ett kartläggningsbesök utformades där fokus låg på individen och dennes upplevda besvär kring den egna hörselnedsättningen

This master thesis is based on the need for an efficient and user-friendly cleaning device adapted for golf clubs. The background and the idea for this project comes from the author himself, who is an experienced golfer. The market need is determined partly from a market research and partly from an interview with a former employee at a golf club. Both the commercial and private market shows an int

In many countries, GMO policy-making has been characterised with a lot of controversy, participation and trust being the most pressing issues. The ongoing Ghanaian GMO policy-making is not spared of the controversy. The GMO Bill which was introduced in the Ghanaian Parliament in 2013 remained unpassed amid accusations and counter-accusations between government-led groups and civil society-led anti

Detta examensarbete är ett samarbete mellan Institutionen för Industriell Produktion på Lunds Tekniska Högskola och Trelleborg AB. Målet med arbetet är att analysera polymerhanteringen i Trelleborgs mixing-avdelning utifrån ett lean perspektiv, samt att komma fram till ett nytt förbättrat produktionsflöde. Det nya flödet ska vara effektivare när det kommer till kapacitet, operatörstid, trucktranspThis thesis is a collaborative project between the division of Production and Materials Engineering and Trelleborg AB. The aim of the thesis is to analyse the current pre-batch polymer handling process, assess the current process from a Lean perspective, and provide a new handling process which is more effective in terms of capacity, operator time, forklift transportation and traceability. The cur