Description: Narrowband analysis is a signal analysis method that focuses on a specific frequency range, allowing for a detailed evaluation of the characteristics of signals within that interval. This approach is particularly useful for detecting anomalies in contexts where subtle variations in the signal may indicate underlying issues. By limiting the range of frequencies analyzed, the resolution and sensitivity of the analysis can be improved, facilitating the identification of unusual patterns that might go unnoticed in a broadband analysis. This method is used in various applications, including telecommunications, audio processing, and monitoring systems. The ability of artificial intelligence to process large volumes of data and learn from them has further enhanced the effectiveness of narrowband analysis, enabling the automation of anomaly detection and the continuous improvement of predictive models. In summary, narrowband analysis is a powerful tool in the arsenal of anomaly detection techniques, especially when combined with artificial intelligence algorithms that optimize its performance and accuracy.
