Sentence examples for multiple measurement Vectors from inspiring English sources

Outline: In Section 2, we briefly summarize CS and introduce the concept of multiple measurement vectors and joint sparsity.

We propose a novel scheme to improve compressed sensing (CS -based radio frequenCS -basedfication (radio by exploiting multiple measurement vectors.

But, repeated using convex optimization technique leads to heavy computational burden in the multiple measurement vectors (MMV) scenario.

In this paper, a two-step compressive sampling FAM (CS-FAM) scheme that employs multiple measurement vectors (MMVs) is presented.

In this paper, we present a novel optimal-correlation-based reconstruction method for compressively sampled videos from multiple measurement vectors.

An alternative approach to summarize multiple snapshots is the use of mixed norms over multiple measurement vectors (MMV) that share the same sparsity pattern [22, 25].

Recovering matrix Z is referred to as a multiple measurement vector (MMV) problem [21].

In this paper, DOA estimation for narrowband far-field signals is resolved using multiple measurement vector approach.

In this paper, we study a sparse multiple measurement vector problem in which we need to recover a set of jointly sparse vectors from incomplete measurements.

It is shown that multiple measurement vector methods and block sparsity techniques play a fundamental role in improving signal local frequency representations.

A new algorithm is proposed that is based on singular value decomposition (SVD) to solve the sparse multiple measurement vector (MMV) problem.