Sökning: "maximum a posteriori estimator"
Visar resultat 6 - 10 av 11 avhandlingar innehållade orden maximum a posteriori estimator.
6. Estimation of synchronization parameters
Sammanfattning : This thesis deals with the estimation of synchronization parameters in {Orthogonal Frequency Division Multiplexing} (OFDM) communication systems and in active ultrasonic measuring systems. Estimation methods for the timing and frequency offset and for the attenuation taps of the frequency selective channel are presented and investigated. LÄS MER
7. Event-Based Control and Estimation with Stochastic Disturbances
Sammanfattning : This thesis deals with event-based control and estimation strategies, motivated by certain bottlenecks in the control loop. Two kinds of implementation constraints are considered: closing one or several control loops over a data network, and sensors that report measurements only as intervals (e.g. with quantization). LÄS MER
8. Trellis Decoding: From Algorithm to Flexible Architectures
Sammanfattning : Trellis decoding is a popular method to recover encoded information corrupted during transmission over a noisy channel. Prominent members of this class of decoding algorithms are the Viterbi algorithm, which provides maximum likelihood estimates, and the BCJR algorithm, which is a maximum a posteriori estimator commonly used in iterative decoding. LÄS MER
9. Parametric Estimation Techniques for Space-Time Adaptive Processing with Applications for Airborne Bistatic Radar Systems
Sammanfattning : This thesis considers parametric scenario based methods for Space-Time Adaptive Processing (STAP) in airborne bistatic radar systems. STAP is a multidimensional filtering technique used to mitigate the influence of interference and noise in a target detector. LÄS MER
10. On computational methods for nonlinear estimation
Sammanfattning : The Bayesian approach provides a rather powerful framework for handling nonlinear, as well as linear, estimation problems. We can in fact pose a general solution to the nonlinear estimation problem. However, in the general case there does not exist any closed-form solution and we are forced to use approximate techniques. LÄS MER