Linear Estimation and Detection in Krylov Subspaces

Linear Estimation and Detection in Krylov Subspaces

المؤلف
Guido K.E. Dietl
سنة النشر
الناشر
لغة الملف
نوع الوثيقة
الموضوع الرئيسي / الكلية
رمز الوثيقة

Focuses on the foundations of linear estimation theory which is essential for effective signal processing. In its first part, it gives a comprehensive overview of several key methods like reduced-rank signal processing and Krylov subspace methods of numerical mathematics. Based on the derivation of the multistage Wiener filter in its most general form, the relationship between statistical signal processing and numerical mathematics is presented. In the second part, the theory is applied to iterative multiuser detection receivers (Turbo equalization) which are typically desired in wireless communication systems.



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