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Why is it important to band limit a signal before sampling it?
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Is unit impulse an energy signal or power signal?
checking if it is an energy signal E= integration from 0 to infinity of t gives infinity so it is not an energy signal P=limit ( t tending to infinity)*(1/t)*(integration from 0 to t/2 of t) gives us infinity so it is not an energy or a power signal
What is the difference between an analog and digital input?
a digital input accepts a voltage level between 0 ( zero and 5 volts + the digital circuitry is designed to accept a logic 1 or a logic 0 signal . the logic 1 is equal to 5 volts optimum , but a tolerance is allowed. the logic 0 signal is around 0 volts, to a limit of 0.8 volts. thus a digital signal is designed to be at 2 distinct points or levels of measurement. by comparison an analogue signal can be varying around a designed level. the input signal is likely to vary and the cirucit inputs are designed to analyse and measure these signals.
What is the difference between switch and limit switch?
rectifier diodes handle larger amounts of power. A switching diode handles much less amperage but at a quicker rate. There are switching diodes that can switch power on and off in several nano-seconds.
What is the function of Resistance?
A series DC motor has to have a starting resistor to limit the current flow before the speed builds up.
What is the real time application for fourier series in signals?
Fourier series analysis is useful in signal processing as, by conversion from one domain to the other, you can apply filters to a signal using software, instead of hardware. As an example, you can build a low pass filter by converting to frequency domain, chopping off the high frequency components, and then back converting to time domain. The sky is the limit in terms of what you can do with fourier series analysis.
What does the central limit theorem say about the shape of the sampling distribution of?
The central limit theorem can be used to determine the shape of a sampling distribution in which of the following scenarios?
What is the sampling level?
The sampling level is the size or limit of a population used during a study. This level is used to determine if a particular standard or mandate is being met.
The mean of a sampling distribution is equal to the mean of the underlying population?
This is the Central Limit Theorem.
What name do you give to the standard deviation of the sampling distribution of sample means?
the central limit theorem
The Central Limit Theorem is important in statistics because?
According to the central limit theorem, as the sample size gets larger, the sampling distribution becomes closer to the Gaussian (Normal) regardless of the distribution of the original population. Equivalently, the sampling distribution of the means of a number of samples also becomes closer to the Gaussian distribution. This is the justification for using the Gaussian distribution for statistical procedures such as estimation and hypothesis testing.
What is sampling distribution of the mean?
Thanks to the Central Limit Theorem, the sampling distribution of the mean is Gaussian (normal) whose mean is the population mean and whose standard deviation is the sample standard error.
Why current limiting resistor is required?
to keep the signal awy from the dc limit ,, to ban the clipping of the signal
What is need of scaling in digital signal processing?
saturation arithmetic eliminates limit cycle due to overflow, but it causes undesirable signal distortion due to the non linearity of the clipper.In order to limit the amount of non linear distortion , it is important to scale the input signal and the unit sample response between the input and any internal summing node in the system such that overflow becomes a rare event.
What is the definition of central limit theorem?
The central limit theorem basically states that as the sample size gets large enough, the sampling distribution becomes more normal regardless of the population distribution.
What is sequence sampling?
unit sample is defined by $(n)= 1 at n=0; = 0 otherwise; Used for to decompose the arbitrary signal x(n) into summation of weighted and shifted unit samples as follows x(n)=( summation of limit k=- infinite to + infinite) x(k)$(n-k)
What is signal bandwidth?
Every line has an upper limit and a lower limit on the frequency of signals it can carry. This limited range is called the bandwidth. The signals ranging within the upper limit & lower limit are called bandwidth signals.
When doing experimental research it is important to limit?
When doing experimental research, it is important to limit
