orchidgradient1a3d1d IMG 3931 IMG 3931 1b2a2b orchidgradient1a3d1a2h radialnoise2062019i2a 1 radialnoise2052019h orchidgradient1a3d1b orchidgradient1a3d1a9a5b radialnoisediamond1d IMG 3931 1b2a2a2 IMG 3931 1b 2a3 radialnoisediamond1v orchidgradient1a3d1e IMG 3931 1c IMG 3931 1b2a2a3 radialnoise2062019i2a2d IMG 3931 radialnoise2062019i2a2m orchidgradient1a3d1a9a5bw IMG 3931 1b2a2d IMG 3931 orchidgradient1a3d1g radialnoisediamond8e IMG 3931 1b2a2a4 IMG 3931 1d2cflat1d IMG 3931 1b2a2a6 orchidgradient1a3d1h orchidgradient1a3d1a2c IMG 3931 orchidgradient1a3d1i radialnoise2052019l orchidgradient1a3d1k IMG 3931 1b2a2c orchidgradient1a3d1l radialnoisediamond8g IMG 3931 orchidgradient1a3d1j orchidgradient1a3d1a2e IMG 3931 radialgradientnoise6h orchidgradient1a3d1tty1a IMG 3931 1b 2a3 1 orchidgradient1a3d1d4a orchidgradient1a3d1d8d orchidgradient1a3d1d8e orchidgradient1a3d1a9a5bb

Orchid Studies, Noise gradients poured into organic form, (2019). These images are two dimensional representations of continuous time vector relationships based on an electronic capture of an orchid with an iPhone. In other words they are files that can (also) be printed into objects or experienced as dimensional realities inside VR.

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Discrete sampled signal

Discrete time views values of variables as occurring at distinct, separate “points in time”, or equivalently as being unchanged throughout each non-zero region of time (“time period”)—that is, time is viewed as a discrete variable. Thus a non-time variable jumps from one value to another as time moves from one time period to the next. This view of time corresponds to a digital clock that gives a fixed reading of 10:37 for a while, and then jumps to a new fixed reading of 10:38, etc. In this framework, each variable of interest is measured once at each time period. The number of measurements between any two time periods is finite. Measurements are typically made at sequential integer values of the variable “time”.

discrete signal or discrete-time signal is a time series consisting of a sequence of quantities.

Unlike a continuous-time signal, a discrete-time signal is not a function of a continuous argument; however, it may have been obtained by sampling from a continuous-time signal. When a discrete-time signal is obtained by sampling a sequence at uniformly spaced times, it has an associated sampling rate.

Discrete-time signals may have several origins, but can usually be classified into one of two groups:[1]

  • By acquiring values of an analog signal at constant or variable rate. This process is called sampling.[2]
  • By observing an inherently discrete-time process, such as the weekly peak value of a particular economic indicator.

In contrast, continuous time views variables as having a particular value for potentially only an infinitesimally short amount of time. Between any two points in time there are an infinite number of other points in time. The variable “time” ranges over the entire real number line, or depending on the context, over some subset of it such as the non-negative reals. Thus time is viewed as a continuous variable.

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.