Advice for my first course in Discrete Signal Processing?

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SUMMARY

The discussion centers on preparing for a graduate course in Discrete Signal Processing (DSP) using the 4th edition of Proakis. Participants emphasize the importance of familiarizing oneself with MATLAB toolboxes or Python for homework assignments. They recommend checking Coursera for student reviews and course content. Key concepts highlighted include the z-transform and the use of matrix powers in DSP applications.

PREREQUISITES
  • Understanding of Discrete Signal Processing concepts
  • Familiarity with MATLAB toolboxes
  • Basic knowledge of Python programming
  • Proficiency in z-transform techniques
NEXT STEPS
  • Explore MATLAB toolboxes for DSP applications
  • Enroll in the Coursera course on DSP for practical insights
  • Study z-transform and its applications in signal processing
  • Review the 4th edition of Proakis for foundational knowledge
USEFUL FOR

This discussion is beneficial for graduate students in electrical engineering, educators teaching DSP courses, and professionals seeking to enhance their understanding of signal processing techniques.

snatchingthepi
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Summary:: I'm about to take my first course in DSP. It is a one term graduate course using the 4th edition of Proakis.

I'm about to take my first course in DSP. It is a one term graduate EE course using the 4th edition of Proakis. Does anyone with experience in this have useful advice for such a course? Having never taken such a class, I don't really know what to expect from the subject.
 
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There is a good chance you will be using MATLAB toolboxes or Python, or other software for homework. You may try to get a head's up from the prof as to what software will be used, so you can become familiar with it. I never used Proakis, but I am a bit familiar with Oppenheim and Schaefer. I cannot say anything about Proakis but it is probably newer. I bought the Oppenheim and Schaefer in 1984.

My understanding is z-transform is used a lot. Matrix powers replace theMatrix exponential, etc.
 
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Thank you both very much.
 
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