An Introduction to Compressive Sampling¶
Candes, E. J., & Wakin, M. B. (2008). An Introduction to Compressive Sampling. IEEE Signal Processing Magazine, 25(2), 21-30.
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Primes¶
- Basis
- The transfers do real analytical work in each destination, because the spanning-independence-minimality structure and its consequences are the same wherever a space has a combining rule. Frequency-basis sparsity into measurement and recovery: the insight that signals sparse in one basis can be recovered from few generic measurements ported from signal processing into imaging, accelerating acquisition substantially, and the structural claim — sparsity is basis-relative — is what made the transfer possible.
This sourceEstablishes that signals sparse in a chosen basis can be recovered from far fewer generic measurements, accelerating acquisition.
- The transfers do real analytical work in each destination, because the spanning-independence-minimality structure and its consequences are the same wherever a space has a combining rule. Frequency-basis sparsity into measurement and recovery: the insight that signals sparse in one basis can be recovered from few generic measurements ported from signal processing into imaging, accelerating acquisition substantially, and the structural claim — sparsity is basis-relative — is what made the transfer possible.
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