signaalitöötlussüsteemist

A signal processing system is a collection of components designed to manipulate and analyze signals. Signals are physical quantities that carry information and can be represented in various forms, such as electrical voltages, sound waves, or images. The primary goal of a signal processing system is to extract useful information from a signal, modify it, or prepare it for transmission or storage.

These systems typically involve several stages. The first stage is often signal acquisition, where sensors or transducers convert a physical phenomenon into an electrical signal. This raw signal may then undergo analog-to-digital conversion if it is to be processed digitally. Digital signal processing involves the use of algorithms and mathematical operations to alter the signal's characteristics. This can include filtering to remove unwanted noise, amplification to increase signal strength, or compression to reduce data size.

Signal processing systems find applications in numerous fields. In telecommunications, they are essential for transmitting and receiving voice and data. In audio and video processing, they enable features like noise reduction, echo cancellation, and image enhancement. Medical imaging systems, such as MRI and CT scanners, heavily rely on signal processing to reconstruct detailed images from raw sensor data. Radar and sonar systems also use signal processing to detect and track objects. The design and implementation of these systems require a deep understanding of mathematics, electronics, and computer science.