Sökning: "asynchronous algorithms"
Visar resultat 11 - 15 av 23 avhandlingar innehållade orden asynchronous algorithms.
11. Distributed Processing of Visual Features in Wireless Sensor Networks
Sammanfattning : As digital cameras are becoming both cheaper and more advanced, they are also becoming more common both as part of hand-held and consumer devices, and as dedicated surveillance devices. The still images and videos collected by these cameras can be used as input to computer vision algorithms for performing tracking, scene understanding, navigation, etc. LÄS MER
12. Steps towards the formalization of designing VLSI systems
Sammanfattning : This thesis describes an attempt to formalize the design process of VLSI systems as a sequence of semantics-preserving mappings which transforms a program-like behavioral description into a structural description. The produced structural description may then be partitioned into several potential asynchronous modules with well-defined interfaces. LÄS MER
13. Iterative Detection, Decoding and Channel Parameter Estimation for Orthogonally Modulated DS-CDMA Systems
Sammanfattning : In this thesis, we study iterative detection, decoding and channel parameter estimation algorithms for asynchronous direct-sequence code division multiple access (DS-CDMA) systems employing orthogonal signalling formats and long scrambling codes. Multiuser detection techniques are widely used to combat the detrimental effects of multipath fading and multiple access interference (MAI), which are the major impairments in CDMA communication systems. LÄS MER
14. Communication-Efficient Resource Allocation for Wireless Federated Learning Systems
Sammanfattning : The training of machine learning (ML) models usually requires a massive amount of data. Nowadays, the ever-increasing number of connected user devices has benefited the development of ML algorithms by providing large sets of data that can be utilized for model training. LÄS MER
15. Reliable and Efficient Distributed Machine Learning
Sammanfattning : With the ever-increasing penetration and proliferation of various smart Internet of Things (IoT) applications, machine learning (ML) is envisioned to be a key technique for big-data-driven modelling and analysis. Since massive data generated from these IoT devices are commonly collected and stored in a distributed manner, ML at the networks, e.g. LÄS MER