To understand what this course is about, please first have a look at my book. While the mathematics in the text is simple, I was looking for a way to explain the fundamental concepts of DSP and Software Defined Radio (SDR) without using any mathematics. Consequently, this course is a summary of main ideas in relation to wireless communication systems from an SDR perspective.

Rapid Skill Acquisition

Emphasizing on the most valuable stuff is crucial to learning any field. This is the key to rapid skill acquisition where we can go from 0.00 to 0.75 in a reasonably quick time. To understand this further, consider the following series.

\frac{1}{2} + \frac{1}{4} + \frac{1}{8} + \frac{1}{16} + \cdots = 1
Now let us draw this series in a diagram.

An infinite series converting to 1

I want to bring your attention to the following points.

  1. The same concept is much easier to understand from the above diagram as compared to the equation. While a mathematician would rightly argue that this is not a rigorous proof, it serves our purpose well.
  2. Even though 1/2 + 1/4, the shaded part in the diagram, does not become 1, it covers a substantial part of the whole. Similarly, from watching these videos and doing the provided GNU Radio exercises, you will gain an expert working knowledge of the subject that can be acquired within a reasonable time.
How exactly do I help here?

In old days, the information was scarce and we needed to learn everything, regardless of where it was coming from. In the past few decades, particularly with the rise of wireless connectivity and Internet, we have far more information than we can handle and the target should be to save our time and energy by separating the important from the unimportant. This is where I help the viewer by focusing on the main ideas.

Learning = Information + Activity

You might think that if you can read the book and understand all the concepts, what is the advantage of watching the videos and doing the GNU Radio exercises. Below I describe the main issue with most online courses and how this course solves that problem.

StairsAt its core, learning anything involves two parts: (a) information, and (b) activity. A simple act of walking or climbing to the top of any stairs is very difficult by committing only one leg to this task. Similarly, the first step towards expertise is acquiring information through books, people and online resources. The second step is doing the activity. Then, continue the cycle.

Information → activity → more information → more activity, ……

Some experts refer to this as the Input + Output cycle of our minds. In our context, these two parts are: (a) knowledge of communications and DSP algorithms, and (b) building (in fact, coding) the software defined radios.

To complement the knowledge part from the video lectures, this course provides several GNU Radio Companion (GRC) exercises for you to play with and learn about wireless communications by walking the path yourself. An example screenshot of a flowgraph is shown below (click on the image to enlarge it). GNU Radio flowgraph depicting a conjugate product with the underlying complex sinusoid For some built-in blocks, I explain the logic behind C++ code and relate them to the DSP algorithms explained in the lecture.

In the light of the above, this course is more suited to the following audiences.

  • Telecommunication professionals interested in gaining hands-on knowledge of what exactly goes on in the physical (PHY) layer of a wireless network (this bridging of the gap between academic concepts and industrial practices proves even more valuable if your ultimate purpose is a good job in the wireless industry)
  • Any radio hobbyists
  • General technical persons looking to expand their knowledge outside their areas of specialities

Most importantly, you will become able to visualize the amazing world of signals that lies underneath the seemingly simple process of bits sent and bits received. As an example, see a short demo based on the flowgraph above.

A short demo on unraveling the complex sinusoid

Course Contents

You can access the course here.

  1. Introduction to signals + DSP
  2. Introduction to systems
  3. Linear modulations
  4. Phase Locked Loop (PLL)
  5. Carrier phase synchronization
  6. Carrier frequency synchronization
  7. Timing or clock synchronization
  8. Wireless channel
  9. Equalization
  10. Orthogonal Frequency Division Multiplexing (OFDM)

  11. Customer Testimonials

    Videos are interesting and surely a good addition to the book. Practical exercises and the ability to experiment really help make everything more clear. The examples also show some good tricks to use GNU Radio better. Very good job!

    Kristoff Bonne – ON1ARF

    This course simplifies communication systems and DSP with illustrations from my favorite software radio toolkit GNU Radio Companion and helps you understand the underlying concepts.

    Murat Sever



    $98  $55

    10-Chapter eBook (PDF, 828 pages)
    Video Lessons (8+ hours)Video Lessons (8+ hours)
    Original SlidesOriginal Slides
    48 GNU Radio Companion (GRC) exercises48 GNU Radio Companion (GRC) exercises



    Frequently Asked Questions


    Q. Is it a guide to build an SDR?

    A. The focus of this course is on the DSP part of an SDR. Using concepts from time and frequency domains, you will come to know how to produce IQ samples on the Tx side that are fed into the SDR hardware. On the Rx side, once the RF signal is converted into IQ samples, you will understand the physical layer (PHY) algorithms leading to the detection of bits.

    Q. Are there any free videos to watch?

    A. Yes. Have a look at the course contents and you will find some videos accessible for a preview.


    Q. Can GNU Radio be installed on Windows as well?

    A. Yes. See this link. Remember that most flowgraphs work with GNU Radio version 3.8 or higher.

An Easy Visual Guide to SDR

Learn about SDR and wireless communications through (a) great visualizations, (b) simple mathematics and (c) answers to a lot of `why' questions. See the sample contents below.
Download the Free Contents

There are 26 letters in English language and countless rules. The language of signal processing is simpler.

- It has only 1 letter: a sample at time 0. From there, we can build any discrete-time signal on which our 1s and 0s can be mapped.

- It has one major rule which is repeatedly employed for demapping the received signal to bits.