Just how broad is a focus in signal processing?

In summary, the conversation discusses the employability of individuals with a concentration in signal processing in different industries. The speaker suggests that it is easier to get a job in a specific industry if you have taken courses related to that field and recommends getting an internship in that industry before graduating. They also mention that at a graduate level, project work is heavily specialized and that is what employers will be interested in, rather than administrative titles given by the department.
  • #1
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I see a lot of electrical engineering graduate programs that offer concentrations in signal processing (analog or digital or both). I understand signal processing is used virtually everywhere, but how does one break into a particular industry with a concentration in signal processing? Can you break into any industry where signal processing is required, or is it much more feasible to go into an industry related to other electives you've taken (e.g. Getting into communications with a specialization in signal processing because you took a couple of communications courses)?

How employable would this be, if complemented with the appropriate (whatever that is) hands-on experience?
 
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  • #2
It is easier to get a job if you've taken courses related to the work they do. The best thing to do is study what you're interested in (people usually do better at things they are interested in) and then do your very best to get an internship at a company before you graduate.

"Signal Processing" is pretty broad but that's OK at an undergraduate level. If you want to work in a communications company, try to get an internship at a communications company, and so on.

EDIT: At the graduate level, even though your "area" might be signal processing, your project work will be heavily specialized. That work is what employers will be interested in. They won't care about whatever administrative titles your department gives to various labs.
 
  • #3
analogdesign said:
At the graduate level, even though your "area" might be signal processing, your project work will be heavily specialized. That work is what employers will be interested in. They won't care about whatever administrative titles your department gives to various labs.

Thank you for your response. That makes sense. So I suppose the best thing to do would be to look at specific labs at my choice schools. Thanks!
 

1. What is the definition of "broad" in the context of signal processing focus?

In signal processing, "broad" refers to the scope or range of topics and techniques that are covered within a focus. This can include various types of signals (e.g. audio, video, images), different signal processing methods (e.g. filtering, compression, enhancement), and various applications (e.g. telecommunications, biomedical imaging, speech recognition).

2. How does a broad focus in signal processing differ from a narrow focus?

A broad focus covers a wider range of topics and techniques, while a narrow focus is more specialized and specific. A broad focus may provide a general overview of signal processing concepts and methods, while a narrow focus may delve deeper into a specific aspect or application.

3. Are there any disadvantages to having a broad focus in signal processing?

One potential disadvantage of a broad focus is that it may not provide as much depth or specialization in a specific area, which may be necessary for certain career paths or research interests. Additionally, a broad focus may require a larger time commitment and may be more challenging for some individuals to grasp all the concepts and techniques covered.

4. What are some common topics that are typically included in a broad focus in signal processing?

Some common topics that may be covered in a broad focus in signal processing include Fourier analysis, digital filtering, image processing, audio and video compression, time-frequency analysis, and machine learning techniques for signal processing.

5. How can one determine if a focus in signal processing is broad enough for their needs?

It is important to carefully review the course syllabus or program curriculum to determine the range of topics and techniques covered. Additionally, seeking advice from professors or professionals in the field can also provide insight on the breadth and depth of a signal processing focus. Ultimately, the decision may depend on one's specific interests and career goals.

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