<h3>Answer</h3>
option C)
The wavelength has a length between 7.0 cm and 8.0 cm and the amplitude lies between 1.0 cm and 2.0 cm.
<h3>Explanation</h3><h2>1)</h2>
The amplitude of a wave is the height of a wave as measured from the highest point on the wave, peak, to the rest point or from the lowest point on the wave, trough, to the rest point.
By looking at the image
rest point is at 5cm and crest is at 3.3 cm (y-axis)
so amplitude = 5 - 3.3
= 1.7 cm (approximately)
<h2>2)</h2>
Wavelength refers to the length of a wave from one peak to the next.
one crest is at 2cm and the other crest is at 10cm (x-axis)
so wavelength = 10 - 2
= 8 cm (approximately)
<h3 />
I agree with you the answer is A
Both make up an atom, along with protons =)
I hope I helped! ^-^
<em>★</em><em> </em><em>«</em><em> </em><em><u>what is sound wave and examples</u></em><em><u> </u></em><em>»</em><em> </em><em>★</em>
- <em>A sound wave is the pattern of disturbance caused by the movement of energy traveling through a medium (such as air, water, or any other liquid or solid matter) as it propagates away from the source of the sound. The source is some object that causes a vibration, such as a ringing telephone, or a person's vocal chords.</em>
<em>hope </em><em>it</em><em> helps</em>
Source localization in ocean acoustics is posed as a machine learning problem in which data-driven methods learn source ranges directly from observed acoustic data: True.
<h3>What is machine learning?</h3>
Machine learning (ML) is also known as artificial intelligence (AI) and it can be defined as a subfield in computer science which typically focuses on the use of computer algorithms, data-driven techniques (methods) and technologies to develop a smart computer-controlled robot that has the ability to automatically perform and manage tasks that are exclusively meant for humans or solved by using human intelligence.
In Machine learning (ML), data-driven techniques (methods) are used to learn source ranges directly from observed acoustic data in a bid to proffer solutions to source localization in ocean acoustics.
In conclusion, a normalized sample covariance matrix (SCM) is constructed and used as the input, especially after pre-processing the pressure that's received by a vertical linear array in Machine learning (ML).
Read more on machine learning here: brainly.com/question/25523571
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