Detecting the number of 2-D harmonics in multiplicative and additive noise using enhanced matrix
Digital Signal Processing
Noise space decomposition method for two-dimensional sinusoidal model
Computational Statistics & Data Analysis
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The two-dimensional harmonic retrieval is examined in theory by confirming that the 2-D sinusoids in white noise are modeled as a special 2-D autoregressive moving average (ARMA) process whose AR parameters are identical to the MA ones. A new analysis technique for resolving 2-D sinusoids in white noise is proposed