Search for dissertations about: "Detection algorithm"
Showing result 1 - 5 of 381 swedish dissertations containing the words Detection algorithm.
-
1. Detection and Classification in Electrocardiac Signals
Abstract : Signal processing can be used to condition medical signals to facilitate their interpretation, and to extract clinically important information. The purpose of the present doctoral thesis is to put forward solutions to certain problems encountered in the processing of electrocardiac signals. READ MORE
-
2. Detection for multiple input multiple output channels : analysis of sphere decoding and semidefinite relaxation
Abstract : The problem of detecting a vector of symbols, drawn from a finite alphabet and transmitted over a multiple-input multiple-output (MIMO) channel with Gaussian noise, is of central importance in digital communications and is encountered in several different applications. Examples include, but are not limited to; detection of symbols spatially multiplexed over a multiple-antenna channel and the multiuser detection problem in a code division multiple access (CDMA) system. READ MORE
-
3. Urban Change Detection Using Multitemporal SAR Images
Abstract : Multitemporal SAR images have been increasingly used for the detection of different types of environmental changes. The detection of urban changes using SAR images is complicated due to the complex mixture of the urban environment and the special characteristics of SAR images, for example, the existence of speckle. READ MORE
-
4. Change Detection Using Multitemporal SAR Images
Abstract : Multitemporal SAR images have been used successfully for the detection of different types of environmental changes. The detection of urban change using SAR images is complicated due to the special characteristics of SAR images—for example, the existence of speckle and the complex mixture of the urban environment. READ MORE
-
5. Adaptive Real-time Anomaly Detection for Safeguarding Critical Networks
Abstract : Critical networks require defence in depth incorporating many different security technologies including intrusion detection. One important intrusion detection approach is called anomaly detection where normal (good) behaviour of users of the protected system is modelled, often using machine learning or data mining techniques. READ MORE