Sensing matrix based on Kasami codes for compressive sensing
Sensing matrix based on Kasami codes for compressive sensing is a scholarly work, published in 2018 in ''IET Signal Processing''. The main subjects of the publication include independent component analysis, sparse matrix, computer science, matrix, SIGNAL, signal reconstruction, algorithm, compressed sensing, computational complexity theory, Nyquist rate, orthogonality, mathematics, Nyquist–Shannon sampling theorem, and sampling. In this study, the authors propose an improved deterministic Kasami sensing matrix whose columns have an enhanced orthogonality property.