Describe the impact of bandwidth on signal measurement.

Bandwidth is a critical factor in signal measurement as it defines the range of frequencies within which a system can accurately detect and process signals. A system with a limited bandwidth will only be able to measure signals that fall within a specific frequency range, potentially leading to incomplete information or the omission of important data.

For instance, in applications such as EEG or EMG monitoring, if the bandwidth is too narrow, high-frequency oscillations or transients may be missed, leading to a misunderstanding of the signal's characteristics. Conversely, having a wide bandwidth allows for more comprehensive detection of various frequencies present in the signal, ensuring accurate representation of the source being measured.

Thus, the ability to accurately measure a broad array of frequencies is integral to effective signal analysis, making the definition of bandwidth as the determining factor for measurable frequency ranges paramount in signal measurement contexts.