Contents
What is Nyquist rate in digital communication?
The Nyquist rate or frequency is the minimum rate at which a finite bandwidth signal needs to be sampled to retain all of the information. When searching for periodicities in a time series, frequencies greater than the Nyquist rate get attenuated and appear at lower frequencies than they are really present in.
What are the advantages of digital control system?
Digital control has advantages over analog control in that digital operations can be easily controlled by a program, i.e. a piece of software, information storage is easier, accuracy can be greater and digital circuits are less affected by noise.
What is the general purpose of digital control system?
A digital control system is a control system that processes signals coming from sensors by means of a computer. The analogue signal (continuous in value and time) has to be sampled and take discrete values at given time intervals. This process is known as signal digitalisation.
Which is an example of sampled time control?
• Time is often sampled because of the digital computer use – digital (sampled time) control system • Numerical integration of continuous-time ODE • Time can be sampled because this is how a system works • Example: bank account balance –x(t) – balance in the end of day t
What are the guidelines for the sampling process?
Several guidelines have evolved to aid in sampling process streams (Merks, 1985; François-Bongarçon and Gy, 2002b) some being: The sample size collected should be at least 1000 times the mass of the largest individual particle; this may encounter a practical limit for material with a very large top size.
Which is an approximation of the sampling process?
The sampling process of the last system (with sampling time Δ) leads to the following delta operator approximation: where ξ ( t) ¯ includes the nonmodeled dynamics derived from the sampling process.
How to calculate the sampling period for a tone?
If T s is the sampling period then the samples are taken at multiples of Ts, nTs, where n is a positive integer and nT s < = 0.1. In other words, our example first needs to implement the equation x a ( nT s) = cos ( 2 π fnT s) for each tone and then sum the resulting signals.