Çankaya GCRIS Standart veritabanının içerik oluşturulması ve kurulumu Research Ecosystems (https://www.researchecosystems.com) tarafından devam etmektedir. Bu süreçte gördüğünüz verilerde eksikler olabilir.
In this thesis per-survivor processing has been used for estimating the coefficients of a frequency selective channel. Two well-known methods, least mean square and recursive least mean square, along with per-survivor processing have been used during channel estimation. To increase the accuracy of the estimated channel coefficients an improved per-survivor processing channel estimation technique has been proposed and from the simulation results it is seen that the proposed technique results in better estimated channel coefficients than the channel coefficients obtained using classical per-survivor approach.