A question in my electric engineering class

In summary, the conversation discusses the difficulty of recovering a function x(t) when it is squared and the importance of the sampling rate being greater than 2*wm in order to avoid aliasing. However, there is uncertainty about predicting the sampling rate in the presence of an LTI before sampling. The question is then posed to kolycholy for their insights on sampling rates and aliasing.
  • #1
kolycholy
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[img=http://img214.imageshack.us/img214/9254/untitledqqag4.th.jpg]
it's a question given in the sample exam

I think for the first question, there is not much we can do to recover the function x(t), because it gets squared ...

for the second part, sampling rate needs to be greater than 2*wm
but then we don't really know what;s going on with the LTI (right before the input gets sampled), so I'm not sure if we can successfully predict the sampling rate for the second part either

any suggestions?
 
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  • #2
Thread moved to the homework forums.

kolycholy, what can you tell us about sampling rates and aliasing?

(Warning to Homework Helpers -- his link includes popup ads.)
 
  • #3


I would approach this question by first understanding the concept of sampling rate and its relationship with the signal being sampled. In this case, the signal is a squared function, which means it has a higher frequency component compared to a linear function. This would require a higher sampling rate to accurately capture the signal.

However, the second part of the question presents a challenge because we do not have information about the system being sampled (LTI). Without this information, it is difficult to accurately predict the required sampling rate. One suggestion could be to gather more information about the system or conduct experiments to determine the appropriate sampling rate.

Another approach could be to use a higher sampling rate as a precautionary measure. This may result in a higher cost, but it would ensure that the signal is accurately captured and any potential errors are minimized.

In conclusion, it is important to understand the concept of sampling rate and its relationship with the signal being sampled. Gathering more information about the system or using a higher sampling rate can help in accurately capturing the signal. Further research and experimentation may also be needed to determine the appropriate sampling rate for a given system.
 

1. What is electric engineering?

Electric engineering is a field of study that focuses on the design, development, and maintenance of electrical systems and equipment. This includes the generation, transmission, and utilization of electricity for various purposes.

2. What topics are typically covered in an electric engineering class?

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To succeed in an electric engineering class, you will need strong analytical and problem-solving skills, as well as a solid understanding of mathematics and physics. Attention to detail and the ability to think critically and creatively are also important.

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Electric engineering graduates can pursue a variety of career options, such as working in the power industry, designing and building electronic devices, or developing renewable energy solutions. They may also work in research and development, consulting, or teaching.

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To prepare for an electric engineering class, it is important to have a strong foundation in math and physics. Familiarize yourself with basic circuit concepts and terminology, and stay organized and on top of assignments and readings. You can also review materials from previous classes or seek out online resources for additional practice and understanding.

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