SELF STUDY AS NOISE
SELF STUDY AS NOISE
Noise gradients mixed with pixelated information from a human face (iPhone Self-Portrait of Myself Weeping), 2019.
These images are two dimensional representations of continuous time vector relationships based on a capture of a human face. In other words they can be printed as objects and/or experienced in VR as dimensional realities.
“The original meaning of “noise” was “unwanted signal”; unwanted electrical fluctuations in signals received by AM radios caused audible acoustic noise (“static”). By analogy, unwanted electrical fluctuations are also called “noise”.[1] [2]
Image noise can range from almost imperceptible specks on a digital photograph taken in good light, to optical and radioastronomical images that are almost entirely noise, from which a small amount of information can be derived by sophisticated processing. Such a noise level would be unacceptable in a photograph since it would be impossible even to determine the subject.”–Wikipedia
A continuous signal or a continuous-time signal is a varying quantity (a signal) whose domain, which is often time, is a continuum (e.g., a connected interval of the reals). That is, the function’s domain is an uncountable set. The function itself need not be continuous. To contrast, a discrete time signal has a countable domain, like the natural numbers.
A signal of continuous amplitude and time is known as a continuous-time signal or an analog signal. This (a signal) will have some value at every instant of time. The electrical signals derived in proportion with the physical quantities such as temperature, pressure, sound etc. are generally continuous signals. Other examples of continuous signals are sine wave, cosine wave, triangular wave etc.