Sökning: "neural processing"

Visar resultat 1 - 5 av 278 avhandlingar innehållade orden neural processing.

1. 1. Radar Signal Processing using Artificial Neural Networks

   Författare :Alexander Karlsson; Magnus Jansson; Mikael Hämäläinen; Henrik Holter; Maria Sabrina Greco; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; artificial neural networks; classification; deep learning; detection; parameter estimation; radar; artificiella neuronnät; klassificering; djupinlärning; detektion; parameter estimering; radar; Electrical Engineering; Elektro- och systemteknik;

   Sammanfattning : This thesis combines radar signal processing, with data driven artificial neuralnetwork (ANN) methods. Signal processing algorithms are often based on modelingassumptions of how the data was formed. In some cases, such models are sufficientfor designing good, or even optimal, solutions. LÄS MER

3. 2. Key Signal Processing Technologies for High-speed Passive Optical Networks

   Författare :Lei Xue; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; neural network; passive optical network; optical signal processing; digital signal processing; dispersion supported equalization; Optical access network; semiconductor optical amplifier;

   Sammanfattning : With emerging technologies such as high-definition video, virtual reality, and cloud computing, bandwidth demand in the access networks is ever-increasing. Passive optical network (PON) has become a promising architecture thanks to its low cost and easy management. LÄS MER

4. 3. Deep Neural Networks and Image Analysis for Quantitative Microscopy

   Författare :Sajith Kecheril Sadanandan; Carolina Wählby; Petter Ranefall; Ewert Bengtsson; Jeroen van der Laak; Uppsala universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Deep neural networks; convolutional neural networks; image analysis; quantitative microscopy; bright-field microscopy; Datoriserad bildbehandling; Computerized Image Processing;

   Sammanfattning : Understanding biology paves the way for discovering drugs targeting deadly diseases like cancer, and microscopy imaging is one of the most informative ways to study biology. However, analysis of large numbers of samples is often required to draw statistically verifiable conclusions. LÄS MER

5. 4. Representation Learning and Information Fusion : Applications in Biomedical Image Processing

   Författare :Elisabeth Wetzer; Nataša Sladoje; Fred Hamprecht; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Representation Learning; Texture Descriptors; Equivariant Neural Networks; Contrastive Learning; Image Classification; Image Registration; Image Retrieval; Digital Pathology; Computerized Image Processing; Datoriserad bildbehandling;

   Sammanfattning : In recent years Machine Learning and in particular Deep Learning have excelled in object recognition and classification tasks in computer vision. As these methods extract features from the data itself by learning features that are relevant for a particular task, a key aspect of this remarkable success is the amount of data on which these methods train. LÄS MER

7. 5. Neural Network Architecture Design : Towards Low-complexity and Scalable Solutions

   Författare :Alireza M. Javid; Saikat Chatterejee; Alexandros Iosifidis; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Electrical Engineering; Elektro- och systemteknik;

   Sammanfattning :  Over the past few years, deep neural networks have been at the center of attention in machine learning literature thanks to the advances in computational capabilities of modern graphical processing units (GPUs). This progress has made it possible to train large scale neural networks by using thousands, and even millions, of training samples to achieve outstanding estimation accuracy in various applications that were not simply possible before. LÄS MER