What is discrete-time signal?

What is discrete-time signal?

A 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.

Why do we need discrete signals?

Sampling discrete-time signals, i.e., using only every Nth sample of a sequence of samples, is useful for efficiently processing, transmitting, or storing information, if we can be sure that the sampling rate can be reduced without significant loss of information. This process is called decimation.

Which one of the following is the discrete time signal?

Explanation: A discrete-time signal is continuous in amplitude and discrete in time. It can either be present in nature or is sampled from an analog signal. A digital signal is discrete in amplitude and time.

How to calculate the power of a discrete time signal?

The power of a discrete-time signal x [ n] is given by P x = lim N → ∞ 1 2 N + 1 ∑ n = − N N | x [ n] | 2 which is identical to the first formula in your question. The second formula is wrong and does not even make any sense due to the infinite limits of the sum.

How are discrete time signals and continuous time signals alike?

Signal-processing systems may be classified along the same lines as signals. That is, continuous-time systems are systems for which both the input and the output are continuous-time signals, and discrete-time systems are those for which both the input and the output are discrete-time signals.

Which is an example of a discrete time system?

Discrete-time systems. A discrete-time system is a device or algorithm that, according to some well-dened rule, operates on a discrete-time signal called the input signal or excitation to produce another discrete-time signal called the output signal or response. Mathematically speaking, a system is also a function.

How are discrete time signals used in speech processing?

Discrete-Time Signals 2011/3/2 Digital Signal Processing 3 Graphical representation Discrete-Time Signals 2011/3/2 Digital Signal Processing 4 Sampling a speech signal xn x nT na(),  3 Basic Sequences 2011/3/2 Digital Signal Processing 5 Unit sample sequence- Unit step sequence- 1, 0 0, 0 n n n 1, 0 0, 0 n un n     0 n k k