Hard and soft decision decoding performances of BCH codes.

Date

1987

Author

Demiray, Can

Metadata

Show full item record

Item Usage Stats

46
views

0
downloads

URI

https://hdl.handle.net/11511/7904

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

Sequential decision making problems in normed linear spaces. Çapar, Ulug; Körezlioğlu, Hayri; Department of Mathematics (1972)
Blind adaptive decision feedback equalization. Kurban, Esra; Baykal, Buyurman; Department of Electrical and Electronics Engineering (2002)
Soft Classification of Satellite Data for Snow Mapping by using Multivariate Adaptive Regression Splines Kuter, Semih; Akyürek, Sevda Zuhal; Weber, William (2016-07-03) Measurement of the areal extent of snow cover with high accuracy plays an important role in hydrological and climate modeling. Remotely-sensed data acquired by earth-observing satellites offer great advantages for timely monitoring of snow cover. However, the main obstacle is the trade-off between the temporal and spatial resolution of the satellite imageries. Soft or sub-pixel classification of low or moderate resolution satellite images is a preferred technique to overcome this problem. In this presentati...
Soft Systems Methodology for design process improvement Bayraktaroğlu, Bengül; Özkan Yıldırım, Sevgi; Department of Information Systems (2018) Organizations from different business sectors, which are certified by some standardization organizations, are increasingly prioritizing the process improvement to raise their product's quality. The process improvement in these organizations has focused principally on the refinement of existing processes to improve. This thesis study describes the application of Soft Systems Methodology (SSM) for engineering design process improvement in an organization. In the concept of thesis study, it will lead to identi...
Direct Adaptive Limit and Control Margin Estimation with Concurrent Learning Gursoy, Gonenc; Yavrucuk, İlkay (American Institute of Aeronautics and Astronautics (AIAA), 2016-6) In this paper, two vital signals to enable flight envelope protection, namely the onset to the flight envelope (limit margin) and the available control travel to reach the limit boundary (control margin), are estimated using improved noniterative adaptive neural-network-based approximate models. The adaptive elements use current and past information (concurrent learning) and have guaranteed signal bounds. Minimum singular value maximization is used to record data for concurrent learning. Results showed bett...

Citation Formats

C. Demiray, “Hard and soft decision decoding performances of BCH codes.,” Middle East Technical University, 1987.