Is a Degree in Engineering Required for a Career in Signal Processing?

In summary: All jobs in signal processing require a degree in engineering, although there are some non-engineer jobs available.
  • #1
frenzal_dude
77
0
Hi,
I'm doing ICT (telecommunications) engineering and have enjoyed subjects which involved signal theory (using matlab, Fourier transform, modulation, filters etc).

Just wondering if there is a job where I can use the theory/maths that I learned in these subjects?
 
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  • #2
all kinds. Analyzing physiological data and acoustic detection are two research tasks that I use them in. Especially in acoustic detection, everybody in the research group knows many of the fundamentals of signal processing, some of them without even taking that particular class.

The biologists are a little less savvy in DSP, but they sure appreciate having me around to write them signal processing software. If you learn how to make simple GUI's with a program like MATLAB (just type 'guide' at the matalb prompt) you can make a lot of non-mathematical scientists lives easier if they have signal processing tasks.
 
  • #3
Pythagorean,

What kind of work do you do? Do you work for a university or the private sector?
 
  • #4
University
 
  • #5
There definitely are good careers in DSP in industry, however, you can't just be a theorist using Matlab. Learn a practical skill like implementing signal processing algorithms in DSP processors and/or FPGAs and you should be quite employable.
 
  • #6
college search service is designed to save you time. All it takes is one quick five minute phone call, and our advisors will provide you with a set of schools that meet your interests.
 
  • #7
Signal processing is a leading career with radios and other reconfigurable systems for communications and intelligence applications. Signal processing has importance in satellite Earth stations, air to ground communications, surveillance receivers, public safety, and radar/sonar applications. The site https://engineering.purdue.edu/ProEd/credit/digital_signal_processing" has information about various courses available for aspiring students.
 
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  • #8
this is something id like to work in as well. do all signal processing jobs require degrees in engineering? i only have a diploma but we'd covered dsp and id like to expand upon that in the work place.
 

1. What is signal processing?

Signal processing is a field of study that focuses on the analysis, modification, and extraction of information from signals. Signals can refer to any type of data that varies over time, such as audio, video, or images. Signal processing is used to understand and improve the quality of signals, as well as to extract relevant information from them.

2. What are some common applications of signal processing?

Signal processing has a wide range of applications in various fields, such as telecommunications, audio and video processing, biomedical signal analysis, and radar and sonar systems. It is also used in image and video compression, noise reduction, and speech recognition.

3. What skills are required for a career in signal processing?

A career in signal processing requires a strong foundation in mathematics and signal processing theory. Proficiency in programming languages such as MATLAB, Python, and C/C++ is also necessary. Additionally, good problem-solving, analytical, and communication skills are essential for success in this field.

4. What are the career opportunities in signal processing?

Signal processing is a rapidly growing field, and there are various career opportunities available in both industry and academia. Some common job roles include signal processing engineer, data scientist, research scientist, and professor. Industries such as telecommunications, defense, healthcare, and entertainment also offer many opportunities for signal processing professionals.

5. What is the future outlook for careers in signal processing?

The demand for signal processing professionals is expected to continue to grow in the coming years. With the increasing use of technology in various industries, there will be a constant need for signal processing experts to analyze and improve the quality of signals. Moreover, advancements in areas such as machine learning, artificial intelligence, and internet of things are also creating new opportunities for signal processing professionals.

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