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Throughout, the matrices are infinite matrices of complex number.
Multivariate statistical techniques are the right tool for viewing and analysing some matrices of complex data [41].
The technique for the experimental evaluation of acoustic transfer matrices of complex geometries on the basis of these dynamic pressure measurements is illustrated.
The procedure provides an efficient and economical implementation of SVD for use in MIMO precoding and other real-time signal processing tasks involving small matrices of complex elements.
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Let A = ( a m k ) be an infinite matrix of complex numbers.
Let A = ( a n k ) ( n, k = 1, 2, … ) be an infinite matrix of complex numbers.
Let A = a k ℓ mn Open image in new window be a four-dimensional infinite matrix of complex numbers.
Subsequently, the constructed matrix of complex Fourier coefficients is transformed into the spatial domain via a 2D inverse FFT.
Let x and y be sequences, X and Y be subsets of ω and (A= ( a_{nk} ) _{n,k=0}^{infty}) be an infinite matrix of complex numbers.
Let A = ( a i j k l ) be an infinite double matrix of complex numbers, M = ( M k, l ) be a sequence of Orlicz functions, and p = ( p k, l ) be a bounded double sequence of positive real numbers.
At the first stage all users send back a single rate value, in the second stage one user sends back an matrix of complex values, and in the third stage all users except one send back SNR values.
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