Signal processing involves the analysis, manipulation, and synthesis of signals such as sound, images, and scientific measurements to improve transmission, storage, and quality. It is fundamental in various applications, including telecommunications, audio engineering, and biomedical engineering, where it enhances signal clarity and extracts useful information.
Data transmission is the process of sending digital or analog data over a communication medium to one or more devices, ensuring accuracy and integrity during the transfer. It is fundamental to modern communication systems, enabling the exchange of information across networks and supporting various applications from internet browsing to telecommunication services.
Amplitude detection is a process used in signal processing to measure the strength or magnitude of a waveform, which is crucial for interpreting and analyzing signals in various applications. It involves techniques that extract amplitude information from complex signals, enabling systems to discern signal intensity and make informed decisions based on that data.
Artifact rejection is a critical process in data analysis, particularly in fields like neuroscience and signal processing, where it involves identifying and removing non-biological or non-physiological signals that can distort the interpretation of data. This ensures the accuracy and reliability of the analysis by focusing solely on the relevant biological or physiological signals.
Amplifier noise refers to the unwanted random signals that are added to the desired signal by the amplifier, which can degrade the quality of the output. Understanding and minimizing this noise is crucial for the design and operation of high-fidelity audio systems, communication devices, and sensitive measurement instruments.
Image averaging is a technique used in digital image processing to reduce noise by averaging multiple images of the same scene. This method assumes that noise is random and will cancel out over several images, thereby enhancing the quality and clarity of the final image.
Interference analysis is a critical process in telecommunications and signal processing, aimed at identifying and mitigating the effects of unwanted signals that disrupt communication. It involves the examination of signal interactions to ensure the integrity and efficiency of data transmission across various channels.
The Common-Mode Rejection Ratio (CMRR) is a measure of a differential amplifier's ability to reject signals that are common to both input terminals, effectively amplifying only the difference between them. High CMRR values indicate better performance in distinguishing between desired differential signals and unwanted common-mode noise.