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"compressed sensing" is correct and usable in written English.
You can use it when referring to a specific area of signal processing that focuses on recovering signals from measurements that are far fewer than what would normally be required. For example, "Compressed sensing has enabled us to recover signals from measurements that were previously impossible to obtain."
Exact(60)
Such group sparsity solvers include block sparsity-based compressed sensing [20], multi-task Bayesian compressed sensing [21, 22], and distributed compressed sensing [23].
Applications may include communication, storage, complexity theory, pseudorandomness, cryptography, streaming algorithms, group testing, and compressed sensing.
Babcock, H.P., Moffitt, J.R., Cao, Y. & Zhuang, X. Fast compressed sensing analysis for super-resolution imaging using L1-homotopy.
Compressed sensing.
compressed sensing ET. high resolution STEM.
High-speed flow imaging utilizing spectral-encoding of ultrafast pulses and compressed sensing.
Compressed Sensing methods obtain solutions to under-constrained systems of linear equations.
One very promising technique to address this challenge is compressed sensing (CS).
Low-rank and sparse of matrix structures have been profoundly studied in matrix completion and compressed sensing [ 10, 11].
In summary, compressed sensing utilizes properties of high-dimensional systems that are surprising from the perspective of classical statistics.
Quantum state tomography via compressed sensing.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com