([-π, π]) via the Provably Accurate and Noise Robust Numerical Inversion of Spectrogram Measurements.
Mark A. IwenMichael PerlmutterNada SissounoAditya ViswanathanPublished in: CoRR (2021)
Keyphrases
- computationally efficient
- highly accurate
- image noise
- measurement noise
- measurement errors
- noise model
- noisy environments
- high accuracy
- salt pepper
- geometric distortions
- random noise
- image reconstruction
- high quality
- imaging artifacts
- greater robustness
- noisy measurements
- noisy data
- sensitivity analysis
- noise reduction
- high frequency
- subpixel accuracy
- input data
- numerically stable
- automatic speech recognition
- pattern analysis
- estimation error
- noise level