MidTerm2005

MidTerm2005

Info iconThis preview shows page 1. Sign up to view the full content.

View Full Document Right Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: oise n. Again consider that the noise n is a zero mean random no2 process with correlation matrix E nnH = n1M , where 1M is an M  M identity matrix. b* If the estimate s of the transmitted signal is taken to be s = y , what is now the ^ ^ 2 mean square error achieved with this estimate, i.e. E fks , sk2 g, expressed in terms of n ^2 and Q. Hint: trxH y  = tryxH  where x and y are vectors of the same dimension. Name: Matr.-Nr.: 6 c What condition must hold for Q so that the mean square error achieved in subtask b is the same as the mean square error achieved in subtask a? Name: Matr.-Nr.: 7 Task 310 pts Let us consider the following minimization problem: min kBwk2 ; subject to kwk2 = 1; 2 2 w where B 2 C M N M N  and is...
View Full Document

This note was uploaded on 07/07/2013 for the course EI 2012 taught by Professor Tum during the Winter '12 term at TU München.

Ask a homework question - tutors are online