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Families of asymptotically regular LDPC block code ensembles can be formed by terminating (J, K)-regular protograph-based LDPC convolutional codes. By varying the termination length, we obtain a large selection of LDPC block code ensembles with varying code rates, minimum distance that grows linearly with block length, and capacity approaching iterative decoding thresholds, despite the fact that t
In this paper we investigate the frame-error correcting performance of two newly developed, non-binary belief propagation based, soft-in/soft-out decoding algorithms when decoding Reed-Solomon codes. We present results for the AWGN channel indicating that non-binary belief propagation can come close to the performance of the binary adaptive Belief-Propagation algorithm or even slightly better when
Window decoding schedules are very attractive for message passing decoding of spatially coupled LDPC codes. They take advantage of the inherent convolutional code structure and allow continuous transmission with low decoding latency and complexity. In this paper we show that the decoding complexity can be further reduced if suitable message passing schedules are applied within the decoding window.
This paper addresses design space exploration for streaming applications (such as MPEG) running on multi-processor platforms with guaranteed service interconnects. In particular, we solve mapping, path selection and router configuration problems. Given the complexity of these problems, state of the art approaches in this area largely rely on greedy heuristics, which do not guarantee optimality. Ou
We deal with the important applicative problem of distributed cameras calibration. We model a network of N cameras as an undirected graph in which communicating cameras can measure their relative orientation in a noisy way. These measures can be used in order to minimize a suitable cost function. The shape of this cost function depends on a vector of integers K. We propose two algorithms which in
Engineers working on safety critical software development must explicitly specify trace links as part of Impact Analyses (IA), both to code and non-code development artifacts. In large-scale projects, constituting information spaces of thousands of artifacts, conducting IA is tedious work relying on extensive system understanding. We propose to support this activity by enabling engineers to reuse
This paper presents a novel memory optimization technique to exploit the analogy between correlation coefficients in MMSE-based channel estimators across multiple standards. The need for coefficient storage for robust MMSE channel estimators is expensive in terms of on-chip memory. Besides, the memory requirements grow linearly by integrating more standards onto one platform. Thus, it becomes inev
Abstract in Undetermined[Context and motivation] There is considerable flexibility in requirements specifications (both functional and non-functional), as well as in the features of available OSS components. This allows a collaborative matching and negotiation process between stakeholders such as: customers, software contractors and OSS communities, regarding desired requirements versus available
This chapter is devoted to modeling and optimization techniques applicable to communication network design and planning. The main emphasis is put on the models dealing with optimization of the capacity of network resources and traffic routing that lead to tractable optimization problems. It is a common belief that the right means for such modeling are multicommodity flow networks (MFN). MFN form a
Vehicular traffic density is a key factor in determining the behaviour of radio overlapping and thus impacts performance of data and safety message communication in Vehicular Ad hoc Networks (VANETs). In this paper, we propose a novel density model for urban traffic systems and employ this model for the purpose of spatial-temporal analysis of radio overlapping. To model traffic density, we conside
Popular Abstract in Swedish Studier av enstaka makromolekyler gör det möjligt att få insikt i och karakterisera viktiga biologiska processer. DNA, livets molekyl, är av särskilt intresse här. I denna avhandling användar vi metoder från statistisk fysik för att studera olika aspekter av DNA i nanokanaler och dess smältegenskaper. DNA-smältning är inte bara relevant för förståelsen av denna molekylsInvestigation of single macromolecules makes it possible to gain insight into and characterize important biological processes. DNA as the molecule of life is of special interest here. In this thesis tools from statistical physics are used to study different aspects of DNA confined to nanochannels, with particular regard to its denaturation properties. The study of DNA melting from the theoretical
We have previously shown how it is possible to lower accident risk levels while at the same time increasing traffic flows with the aid of vehicular ad-hoc networks. In this paper, we extend the online traffic accident risk mitigation sys- tem to include link choice. We develop an algorithm that allows vehicles to choose road links that provide the current maximal utility, based on information rece
Despite the widely recognized importance of replications in software engineering, industrial replications in software engineering are still rarely reported. Although the literature provides some evidence about the issues and challenges related to conducting experiments and replications the practitioner's view of the issues and challenges has not been fully explored. This paper reports an industria
Quality requirements complement functional requirements with information on the target quality levels of software functions or emergent system quality aspects. In release planning the allocation of development effort in further investments into product enhancements, new or enhanced functions are competing with quality improvements for limited resources. When setting balanced quality targets for de
NTRU is a public-key cryptosystem, where the underlying mathematical problem is currently safe against large-scale quantum computer attacks. The system is not as well investigated, as for example RSA, and the company behind NTRU has created the NTRU Challenges, to remedy this. These challenges consist of 27 different public keys of increasing size, where the task in each challenge is to calculate
Low-power wearable technologies offer a promising solution to pervasive epilepsy monitoring by removing the constraints concerning time and location, on one hand, and fulfilling long-term tracking, on the other hand. In the case of epileptic seizures, as the attacks infrequently occur, using an anomaly detection approach reduces the need to record long hours of data for each patient before detecti
Epilepsy is one of the most prevalent paroxystic neurological disorders. It is characterized by the occurrence of spontaneous seizures. About 1 out of 3 patients have drug-resistant epilepsy, thus their seizures cannot be controlled by medication. Automatic detection of epileptic seizures can substantially improve the patient's quality of life. To achieve a high-quality model, we have to collect d
A system we denote Seg2Pose is presented which converts pixel coordinate tracks, represented by instance segmentation masks across multiple video frames, into world coordinate pose tracks, for road users seen by static surveillance cameras. The road users are bound to a ground surface represented by a number of 3D points and does not necessarily have to be perfectly flat. The system works with one
