How do you stay current with signal processing research?

1 Subscribe to journals and newsletters

One of the most reliable sources of signal processing research are the peer-reviewed journals and magazines that publish original papers, surveys, tutorials, and reviews on various topics and subfields. Some of the most reputable and popular ones include IEEE Transactions on Signal Processing, IEEE Signal Processing Magazine, IEEE Signal Processing Letters, Signal Processing, and EURASIP Journal on Advances in Signal Processing. You can subscribe to these journals and newsletters online and receive regular updates on the latest publications and news.

2 Follow blogs and podcasts

Another way to stay current with signal processing research is to follow blogs and podcasts that cover relevant topics and issues, share insights and opinions, and interview experts and researchers. Blogs and podcasts can offer more accessible and engaging content than academic papers, and can also help you discover new perspectives and ideas. Some of the blogs and podcasts that you might want to check out are The DSP Blog, The Signal Path, The Sound of AI, and All About Circuits.

3 Join online communities and forums

A great way to learn from and interact with other signal processing enthusiasts and professionals is to join online communities and forums where you can ask questions, share resources, discuss problems, and exchange feedback. Online communities and forums can also help you network with potential collaborators, mentors, or employers, and keep you informed about events, opportunities, and trends. Some of the online communities and forums that you might want to join are Signal Processing Stack Exchange, DSPRelated, Reddit r/DSP, and IEEE Signal Processing Society.

4 Take online courses and webinars

If you want to improve your skills and knowledge in signal processing, or learn about new techniques and tools, you can take advantage of the many online courses and webinars that are available for free or at a low cost. Online courses and webinars can help you refresh your basics, explore advanced topics, or master specific applications of signal processing, such as image processing, speech processing, or machine learning. Some of the online courses and webinars that you might want to take are Coursera's Digital Signal Processing, edX's Fundamentals of Digital Signal Processing, and IEEE's Signal Processing Webinars.

5 Experiment with open-source software and hardware

Finally, one of the best ways to stay current with signal processing research is to experiment with open-source software and hardware that allow you to implement, test, and modify signal processing algorithms and systems. Open-source software and hardware can give you hands-on experience and exposure to the practical aspects of signal processing, as well as inspire you to create your own projects and solutions. Some of the open-source software and hardware that you might want to use are MATLAB, Python, GNU Radio, Arduino, and Raspberry Pi.

6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?