Signaalitöötuses

Signaalitöötus, also known as signal processing, is a field of electrical engineering and applied mathematics that deals with the analysis and manipulation of signals. Signals are physical quantities that vary over time or space and carry information. Examples include audio signals, images, radio waves, and sensor readings.

The primary goal of signal processing is to extract useful information from signals, enhance their quality, or transform them into a more suitable format for further processing or transmission. This is achieved through various mathematical techniques and algorithms.

Key areas within signal processing include filtering, which is used to remove unwanted noise or isolate specific frequency components, and transformation, such as the Fourier transform, which breaks down a signal into its constituent frequencies. Signal processing also encompasses compression, which reduces the amount of data needed to represent a signal, and estimation, which involves inferring unknown signal properties.

Applications of signal processing are widespread and essential to modern technology. They are found in digital audio and video compression, telecommunications systems for transmitting and receiving data, medical imaging devices like MRI and ultrasound, radar and sonar systems, and many other fields. The advent of digital computers has revolutionized signal processing, enabling complex algorithms to be implemented efficiently and leading to the development of digital signal processors (DSPs) specifically designed for these tasks.