Multiple Uniform Rearranged for Non Uniform Sampling
We have developed a pioneering strategy to overcome the Nyquist limit: MURNUS. Uniform sampling and NUS are met together. Oversampling and undersampling are now closer than ever!
Key features:
Extend your spectral width
Even if sampling rates are far below the Nyquist rate, you'll be able to extend your bandwith and exceed the Nyquist-Shannon limit. Without aliases or ghosts.
See higher frequencies
Whether they're created, transmitted, echoed, naturally occurring, or whatever... just access them with MURNUS strategy. Don't discard them with a bandpass filter: see what's up there!
Get the best from simple hardware
No need to pursue expensive, unpractical, ultra-complex, not-available instruments. Perform uniform sampling at normal rates with ordinary devices.
Elaborate your data with well-established NUS algorithms
The reconstruction of spectra and signals is easily performed with solid and commonly available Non Uniform Sampling (NUS) algorithms.
How it works:
1 - Multiple acquisitions
Regular uniform sampling is performed multiple times, each time with a (slightly) different sampling rate.
2 - Join all data
At the core of MURNUS, all the separate acquisitions are merged together. This leads to exceptionally small distances between points, artificially rising the overall sampling rate.
3 - Reconstruct your signal or spectrum
Eventually, the data is processed as if it was collected at once in a single acquisition. Due to the irregular distribution of the points a Nonuniform Sampling (NUS) algorithm is used.