Low-Level Sinusoidal Signal Detection From a High-Resolution Virtual Spectral Image Using Autoregressive Vector Extrapolation

A new high-resolution virtual spectral imaging technique is able to resolve a closely spaced dominant and low-level sinusoidal signal (power spread of up to 15 dB) in harsh signal-to-noise ratio environments with limited samples where a high-resolution 2-D autoregressive (AR) spectral estimation alg...

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