signaalitöötlusülesanded

Signaalitöötlusülesanded, or signal processing tasks, encompass a broad range of operations performed on signals to extract meaningful information or transform them into a more desirable form. A signal can be any physical quantity that varies over time or space, such as sound waves, radio waves, images, or biological measurements. The primary goal of signal processing is to analyze, modify, and synthesize these signals.

Common signal processing tasks include filtering, which aims to remove unwanted noise or isolate specific frequency components from a signal. This is crucial in applications like audio enhancement or removing interference from communication signals. Another fundamental task is feature extraction, where relevant characteristics of a signal are identified and quantified. For example, in speech recognition, features like pitch and formant frequencies are extracted to distinguish different sounds.

Decomposition and representation tasks involve breaking down complex signals into simpler components or transforming them into different domains for easier analysis. Fourier transforms, for instance, are widely used to analyze the frequency content of a signal. Signal detection is another important task, focusing on identifying the presence of a specific signal within noisy data, as seen in radar or sonar systems. Finally, signal synthesis involves generating new signals, often for testing or simulation purposes. These tasks are the building blocks of numerous technologies, from telecommunications and medical imaging to consumer electronics and scientific research.