Each discrete cosine transform (DCT) uses N real basis vectors whose components are cosines. In the DCT-4, for example, the j th component of \boldv_k is \cos(j+12)(k+12)πN …
E Kernfeld, M Kilmer, S Aeron - Linear Algebra and its Applications, 2015 - Elsevier
Research in tensor representation and analysis has been rising in popularity in direct response to a) the increased ability of data collection systems to store huge volumes of …
Blur removal is an important problem in signal and image processing. The blurring matrices obtained by using the zero boundary condition (corresponding to assuming dark …
A unified view of algorithms for adaptive transversal FIR filtering and system identification has been presented. Wiener filtering and stochastic approximation are the origins from …
Y Tanaka, A Sakiyama - IEEE Transactions on Signal …, 2014 - ieeexplore.ieee.org
This paper proposes M-channel oversampled filter banks for graph signals. The filter set satisfies the perfect reconstruction condition. A method of designing oversampled graph filter …
Automatic speech recognition (ASR) is a very attractive means for human-machine interaction. The degree of maturity reached by speech recognition technologies during …
It is known that the discrete Fourier transform (DFT) used in digital signal processing can be characterized in the framework of the representation theory of algebras, namely, as the …
N Al-Dhahir, H Minn, S Satish - IEEE Transactions on …, 2006 - ieeexplore.ieee.org
We derive conditions on the impulse response and input signal of a frequency-selective finite-impulse response channel to be diagonalized by the discrete cosine transform (DCT) …
M Püschel, JMF Moura - IEEE Trans. Signal Process., 2008 - users.ece.cmu.edu
In our paper titled “Algebraic Signal Processing Theory: Foundation and 1-D Time” appearing in this issue of the IEEE TRANSACTIONS ON SIGNAL PROCESSING, we …