2004/07/01 by Petre Stoica, Yngve Selén · 7 citations
Computer Science · Mathematics · #Direction-of-Arrival Estimation Techniques #Target Tracking and Data Fusion in Sensor Networks #Speech and Audio Processing #Autoregressive model #Integer (computer science) #Dimension (graph theory) #Selection (genetic algorithm) #Algorithm #Parametric statistics #Model selection #Noise (video) #Signal processing #Computer science #Estimation theory #Parametric model #SIGNAL (programming language) #Data modeling #Mathematics #Artificial intelligence #Statistics #Digital signal processing
paper · doi:10.1109/msp.2004.1311138
openalex publication_date 2004/07/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/04
The parametric (or model-based) methods of signal processing often require not only the estimation of a vector of real-valued parameters but also the selection of one or several integer-valued parameters that are equally important for the specification of a data model. Examples of these integer-valued parameters of the model include the orders of an autoregressive moving average model, the number of sinusoidal components in a sinusoids-in-noise signal, and the number of source signals impinging on a sensor array. In each of these cases, the integer-valued parameters determine the dimension of the parameter vector of the data model, and they must be estimated from the data.