Sökning: "Lossy Compression"
Visar resultat 6 - 10 av 12 avhandlingar innehållade orden Lossy Compression.
6. Compression-based Data Identification and Representation Learning
Sammanfattning : Large-scale data generation, acquisition, and processing are happening at everymoment in our society. This thesis explores the opportunities for applying lossycompression methods and concepts for improving information engineering techniquesthat transform a large amount of collected data into useful applications. LÄS MER
7. Enhancing Localization, Selection, and Processing of Data in Vehicular Cyber-Physical Systems
Sammanfattning : Connected devices on the edge of the Edge-to-Cloud (E2C) continuum are producing increasing amounts of data that hold the key to unlocking valuable use cases among a wide range of applications. In the vehicular domain, connected vehicles in large fleets (called Vehicular Cyber-Physical Systems or VCPSs) sense and collect terabytes of data such as time series and video, enabling everything from predictive maintenance to autonomous drive. LÄS MER
8. Towards a secure synchronous communication architecture for low-power wireless networks
Sammanfattning : The Internet of Things (IoT) is becoming the future Internet where most day-to-day devices are connected to the Internet. These devices are often resource constrained and use low-power wireless communication. Hence networks of them are called low-power and lossy networks (LLNs). LÄS MER
9. Communication With Reconstruction and Privacy Constraints
Sammanfattning : Communication networks are an integral part of the Internet of Things (IoT) era. They enable endless opportunities for connectivity in a wide range of applications, leading to advances in efficiency of day-to-day life. While creating opportunities, they also incur several new challenges. LÄS MER
10. On Robust LPC-spectrum Coding and Vector Quantization
Sammanfattning : Digital speech coding is concerned with representing a discrete-time speech signal with as few bits per second as possible without introducing annoying artifacts in the coded speech. Many modern speech coders are based on Linear Predictive Coding (LPC) which employ a source-filter model for speech production. LÄS MER