Signal analysis is the process of examining and interpreting signals, which can be electrical, acoustic, or optical in nature. This technique is used to extract meaningful information from data, often involving the use of mathematical tools and algorithms. Applications of signal analysis include telecommunications, audio processing, and medical imaging, where understanding the underlying signals is crucial for effective communication and diagnosis. In signal analysis, various methods such as Fourier transforms and wavelet transforms are employed to break down complex signals into simpler components. This helps in identifying patterns, detecting anomalies, and improving signal quality. By analyzing these signals, professionals can enhance systems in fields like engineering, finance, and biomedical research.