The signum signal, defined as ( x(t) = \text{sgn}(t) ), is an example of a power signal rather than an energy signal. This is because it does not have finite energy; its integral over all time diverges. However, its average power can be calculated and is finite, which classifies it as a power signal. In summary, the signum signal is a power signal due to its infinite energy and finite average power.
You need modulation signal(carrier) which is a required signal in order to make envelope of time domained signal(target signal). The modulating signal is imposed on modulation signal.This creates envelope of waveform which is modulated(desired) signal. Now, the desired signals uper and lower sideband of signal strictly depends on modulation signal's bandwidth. Max. peak of that signal is uper sideband and min. peak is lower sideband for this modulated signal.
CSMA\CD means that when a Clint want to send a signal if is it free it will send the signal and it happens in other Clint at the same time so the signal will crash and then they will try again later after period of time.
In signal processing, sampling is the reduction of a continuous signal to a discrete signal. A common example is the conversion of a sound wave (a continuous signal) to a sequence of samples (a discrete-time signal).
An analog signal is one which is continuous in time as well as continuous in amplitude . Example : sine wave, cosine wave. An Digital signal is one which is continuous in discrete in time. Example : square waves.
The signum signal, defined as ( x(t) = \text{sgn}(t) ), is an example of a power signal rather than an energy signal. This is because it does not have finite energy; its integral over all time diverges. However, its average power can be calculated and is finite, which classifies it as a power signal. In summary, the signum signal is a power signal due to its infinite energy and finite average power.
No, a signal that is band limited is not time-limited while a signal that is time-limited isnot band limited.
A time limited signal is one that is nonzero only for a finite length time interval.
Transmitting any signal requires energy. "Power" is energy per time unit; for example, if 10 mJ are used for the transmission every second, then the power is 10 mW. "Average"... Well, presumably the amount of signal power can change over time, so the average is taken for a certain time period. For example, when transmitting 1's and 0's, it may be that transmitting a "1" requires more energy than transmitting a "0" (depending on how the information is encoded); the average in this case would be taken with the assumption that the same number of 1's and 0's are transmitted in the long run.
To find the time period of a discrete signal, you need to identify the time interval between consecutive occurrences of a specific pattern or value in the signal. This may involve observing the repeating pattern in the signal and measuring the time it takes for the pattern to repeat. Once you have identified this time interval, it represents the time period of the discrete signal.
A periodic signal has two major characteristics: frequency and amplitude. Frequency is the number of times the periodic signal occurs in a set time, and the amplitude refers to how strong the signal is.
16.5 feet
hourly time signal is causes your watch to beep every hour on the hour.
A cable signal.
The linear discrete time interval is used in the interpretation of continuous time and discrete valued: Quantized signal.
A strobe signal is sent by the signal sender without any regard to the signal receiver. This assumes that the design provides sufficient setup and hold time, along with transmission time, to ensure reliable receipt of the signal. A handshake signal is a bi-directional protocol between the signal sender and the signal receiver, which the receiver uses to tell the sender that the signal has been received. In this system, it often does not matter what the transmission time is, but bandwidth can be reduced since the sender must wait for the handshake to come back from the receiver, effectively doubling the time it takes to send a signal.
A signal is bounded if there is a finite value such that the signal magnitude never exceeds , that is for discrete-time signals, or for continuous-time signal (Source:Wikipedia)