Search results
Results from the WOW.Com Content Network
It models burst noise (also called popcorn noise or random telegraph signal). If the two possible values that a random variable can take are c 1 {\displaystyle c_{1}} and c 2 {\displaystyle c_{2}} , then the process can be described by the following master equations :
It is also called random telegraph noise (RTN), popcorn noise, impulse noise, bi-stable noise, or random telegraph signal (RTS) noise. It consists of sudden step-like transitions between two or more discrete voltage or current levels, as high as several hundred microvolts , at random and unpredictable times.
The word telegraph (from Ancient Greek: τῆλε 'at a distance' and γράφειν 'to write') was coined by the French inventor of the semaphore telegraph, Claude Chappe, who also coined the word semaphore. [2] A telegraph is a device for transmitting and receiving messages over long distances, i.e., for telegraphy.
The telegrapher's equations (or just telegraph equations) are a set of two coupled, linear equations that predict the voltage and current distributions on a linear electrical transmission line. The equations are important because they allow transmission lines to be analyzed using circuit theory . [ 1 ]
Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!
In the theories of modulation and of stochastic processes, random modulation is the creation of a new signal from two other signals by the process of quadrature amplitude modulation. In particular, the two signals are considered as being random processes .
Wireless telegraphy or radiotelegraphy, commonly called CW (continuous wave), ICW (interrupted continuous wave) transmission, or on-off keying, and designated by the International Telecommunication Union as emission type A1A or A2A, is a radio communication method.
In time series analysis (or forecasting) — as conducted in statistics, signal processing, and many other fields — the innovation is the difference between the observed value of a variable at time t and the optimal forecast of that value based on information available prior to time t.