Time domain
In today's world, Time domain is a topic that has gained unprecedented relevance. From its origins to the present, Time domain has been the subject of study, debate and controversy in different areas. Whether due to his impact on society, the economy, politics or culture, Time domain has left an indelible mark on history. In this article, we will explore the different aspects of Time domain, analyzing its importance, evolution and repercussions in the contemporary world. Through a multidisciplinary approach, we will seek to understand the complexity of Time domain and its influence on our daily lives.
 | This article needs additional citations for verification. (August 2012) |
.gif)
Time domain refers to the analysis of mathematical functions, physical signals or time series of economic or environmental data, with respect to time. In the time domain, the signal or function's value is known for all real numbers, for the case of continuous time, or at various separate instants in the case of discrete time. An oscilloscope is a tool commonly used to visualize real-world signals in the time domain. A time-domain graph shows how a signal changes with time, whereas a frequency-domain graph shows how much of the signal lies within each given frequency band over a range of frequencies.
Though most precisely referring to time in physics, the term time domain may occasionally informally refer to position in space when dealing with spatial frequencies, as a substitute for the more precise term spatial domain.
Origin of term
The use of the contrasting terms time domain and frequency domain developed in U.S. communication engineering in the late 1940s, with the terms appearing together without definition by 1950. When an analysis uses the second or one of its multiples as a unit of measurement, then it is in the time domain. When analysis concerns the reciprocal units such as Hertz, then it is in the frequency domain.
See also
References
- ^ Lee, Y. W.; Cheatham, T. P. Jr.; Wiesner, J. B. (1950). "Application of Correlation Analysis to the Detection of Periodic Signals in Noise". Proceedings of the IRE. 38 (10): 1165–1171. doi:10.1109/JRPROC.1950.233423. S2CID 51671133.
