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Gwar [14]
3 years ago
10

What is the major difference between Fourier Transform and Z-Transform??.

Mathematics
1 answer:
never [62]3 years ago
7 0
<span>The Z transform is related to Laplace transform and is applied to analyze digital circuits. The Fourier transform, on the other hand, is a type z-transform, i.e z-transform which is used in spectrum analysis and calculation of the energy density of the signal. The difference lies on the field of application.</span>
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What is the distance between (-3, 4) and (4, 4)
svetoff [14.1K]

Answer:

7 units

Step-by-step explanation:

\sqrt{|-3-4|^{2}-|4-4|^{2}}

=7

3 0
3 years ago
Read 2 more answers
Every evening, two weather stations issue weather forecast for the next day. The weather forecasts are independent. On average,
EleoNora [17]

Answer:

The probability is 0.6923

Step-by-step explanation:

Let's call R the event that the next day rains, S the event that the next day has sunny weather, R2 the event that the station 2 predicts rain and S1 the event that station 1 predict sunny weather.

The probability that the next day has sunny weather given that station 1 predicts sunny weather for the next day and station 2 predicts rain is calculated as:

P(S/S1∩R2) = P(S∩S1∩R2)/P(S1∩R2)

Where P(S1∩R2) = P(R∩S1∩R2) + P(S∩S1∩R2)

So, the probability P(R∩S1∩R2) that the next day rains, Station 1 predicts sunny weather and Station 2 predicts Rain is calculate as:

P(R∩S1∩R2) = 0.5 * 0.1 * 0.8 = 0.04

Because 0.5 is the probability that the next day rains, 0.1 is the probability that station 1 predicts sunny weather given that it is going to rain and 0.8 is the probability that station 2 predicts rain given that it is going to rain.

At the same way, the probability P(S∩S1∩R2) that the next day has sunny weather, Station 1 predicts sunny weather and Station 2 predicts Rain is calculate as:

P(S∩S1∩R2) = 0.5 * 0.9 * 0.2 = 0.09

Then, the probability P(S1∩R2) that station 1 predicts sunny weather for the next day, whereas station 2 predicts rain is:

P(S1∩R2) = 0.04 + 0.09 = 0.13

Finally, P(S/S1∩R2) is:

P(S/S1∩R2) = 0.09/0.13 = 0.6923

6 0
3 years ago
The results of a linear regression are shown below.
IgorLugansk [536]

Hello!

As we can see, our a value, which would be the coefficient of x, which determines our slope, is negative, meaning that this whole line is negative.

Furthermore, the correlation can be determined using the r value of the linear regression, which is around -0.9.

If the r value of the linear regression is close to 1 or -1, let's say around |r| > 0.8, then we can consider the regression a strong correlation, meaning that this is a strong negative correlation, which is answer choice A.

3 0
3 years ago
How many cm in 1.5 km
nignag [31]

Answer:

1.5 Kilometers and 150000 Centimeters

Step-by-step explanation:

5 × 10 -5 kilometers in 1 1 / 2 centimeters. To convert any value in centimeters to kilometers, just multiply the value in centimeters by the conversion factor 1 / 100000 . So, 1.5 centimeters times 1 / 100000 is equal to 1.5 × 10 -5 kilometers.

I hope this helps!

3 0
3 years ago
In a game, there are 12 identical balls of which seven are red and five are green.
Alex

Answer:

its number 2 and if its a mutable answers writ 3 also

7 0
3 years ago
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