Sökning: "DSP radio"

Visar resultat 1 - 5 av 17 uppsatser innehållade orden DSP radio.

1. 1. Introducing Machine Learning in a Vectorized Digital Signal Processor

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Linnéa Ridderström; [2023]
   Nyckelord :Digital Signal Processor DSP ; Application-Specific Integrated Circuit ASIC ; Machine Learning; Deep Learning; Convolutional Neural Network CNN ; Very Long Instruction Word VLIM ; Single Instruction Multiple Data SIMD ; Digital Signalprocessor DSP ; Applikation-Specifik Integrerad Krets ASIC ; Maskininlärning; Djupinlärning; Konvolutionella Neurala Nätverk CNN ; Very Long Instruction Word VLIW ; Single Instruction Multiple Data SIMD ;

   Sammanfattning : Machine learning is rapidly being integrated into all areas of society, however, that puts a lot of pressure on resource costraint hardware such as embedded systems. The company Ericsson is gradually integrating machine learning based on neural networks, so-called deep learning, into their radio products. LÄS MER

3. 2. Investigating and Modeling Uplink Processing in 5G NR Multisector Scheduler Simulator

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Oskar Nygren; Axel Sneitz-Björkman; [2022]
   Nyckelord :Technology and Engineering;

   Sammanfattning : As the latest generation of wireless access technology called Fifth Generation (5G) New Radio (NR) evolves, computational efficiency is key to keep low cost and flexible deployments for vendors. Understanding how the Digital Signal Processing (DSP) load behaves in the digital units is one aspect to enable this efficiency. LÄS MER

4. 3. A Digital Design Flow - From Concept to RTL Description, Using Mathworks and Cadence's Tools

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Tor Hammarbäck; Jorge Deza Concori; [2022]
   Nyckelord :Technology and Engineering;

   Sammanfattning : This report presents our digital design flow for creating high speed very large scale integration circuits using a fifth generation disruptive beamforming control and data processing circuit as example. The flow consists of different stages. LÄS MER

5. 4. Squeezing and Accelerating Neural Networks on Resource Constrained Hardware for Real Time Inference

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Matteo Presutto; [2019]
   Nyckelord :Neural Networks; Quantization; DSP; Inference; neurala nätverk; kvantisering; DSP; inferens;

   Sammanfattning : As the internet user base increases over the years, so do the logistic difficulties of handling higher and higher volumes of data. This large amount of information is now being exploited by Artificial Intelligence algorithms to deliver value to our society on a global scale. LÄS MER

7. 5. Design of a UAV-based radio receiver for avalanche beacon detection using software defined radio and signal processing

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och System

   Författare :Richard Hedlund; [2019]
   Nyckelord :Signal processing; Software Defined Radio; Avalanche; Beacon; Antenna; SDR; DSP; Signalbehandling; Mjuvarudefinierad Radio; Lavin; Lavinsändare; Antenn; SDR; DSP;

   Sammanfattning : A fully functional proof of concept radio receiver for detecting avalanche beacons atthe frequency 457 kHz was constructed in the work of this master thesis. The radioreceiver is intended to be mounted on an unmanned aerial vehicle (UAV or drone)and used to aid the mountain rescue teams by reducing the rescue time in findingavalanche victims carrying a transmitting beacon. LÄS MER