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Introduction to Digital Signal Processing - Rahsoft RAHDG489 Coupon
Teaching & Academics

[25% Off] Introduction to Digital Signal Processing - Rahsoft RAHDG489 Course Coupon

Updated: by saadmerie

Become an expert in DSP foundations from Discrete Fourier Transform, Z-Transform to Quantization, Signal Sampling & more

12.0 hr
15$ 19.99$
Get the coupon in the end of description.



In RAHDG 489 we’ll Focus on applying formulas to digital signals then we Analyze their characteristics and behaviors. It includes Design and analysis of Processing signals. Number of digital designs have been solved to make you understand them better.

This course describes the different signal transforms such as Fourier transform, Fourier Series, Z-Transform, and signal windowing. The design and analysis of digital signal processing. Each topic will have many examples which goes over them briefly with different parts. By end of each chapter there will be a quiz for you to test your understanding of that specific chapter.

Core subject of this course is digital signal processing. Topics include sampling, reconstructing signal, differential equation, Fourier Transform and Z-Transform. By end of the course, you should be able to know how to reconstruct the signals, convert analog to digital and opposite signals and how to produce digital signals.

This course is mostly for academic level Engineering students in different universities around the world.

Since you would be having a lifetime access to this course you would be able to revisit during your career as year passes to refresh your memory.


The instructor of this course is Mehrad Nahouri. He has an Associates in Electrical Engineering concentration on digital field and is a lecturer at Rahsoft.

What is the target audience?

  • This course is for students working in the digital field.

  • Undergraduate students

  • Electrical Engineer

  • Computer Engineer

  • Graduate students taking DSP course

  • Researchers in DSP field

Course content

  • Introduction

  • Signal Sampling

  • Quantization

  • Digital Signals and Systems

  • Discrete Fourier Transform

  • Signal Spectrum

  • Z-Transform

Who this course is for:

  • Electrical Engineers

  • Computer Engineers

  • Electrical Engineering Students

  • Computer Engineering Students

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