阵列信号处理

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A multi-dimensional model order selection criterion with improved identifiability 的代码

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A multi-dimensional model order selection criterion with improved identifiability code is an essential tool in statistical modeling and data analysis. By using this code, users can select an appropriate model order criterion by comparing different models and determining which one best fits the data. This can lead to improved accuracy and precision in statistical analysis, as well as better predictions and insights into the underlying processes. Additionally, this code is highly customizable, allowing users to tailor it to their specific needs and applications. With its versatility and effectiveness, the multi-dimensional model order selection criterion with improved identifiability code is a valuable asset for researchers and analysts alike.