It is well‐known that suitably designed sparse arrays (with large and contiguous difference co‐arrays) are able to localize more sources than sensors in the pas ...

Therefore, our sparse optimized circuit can reduce the transmission delay when the input element is “0”. We have declared before that zero elements are commonly consist in a sparse matrix, which makes ...

In sparse array signal processing, all the equivalent virtual signals vectorized from the covariance matrix are contained in the single-snapshot measurement vector. However, spatial smoothing ...

Functions Load functions usually accept a filename, and returns 2 arrays: one array with timepoints, and one array with matrices created according to the description in the file. Save function accepts ...

Vectors and matrices fall under the tensor category. Tensors are multidimensional arrays of numbers. Vectors are flat and have one dimension, wheres matrices are two-dimensional. Saman Amarasinghe, ...

Tony Cai, Weidong Liu, Yin Xia, Two-Sample Covariance Matrix Testing and Support Recovery in High-Dimensional and Sparse Settings, Journal of the American Statistical Association, Vol. 108, No. 501 ...