Theory and Design of Digital Communication Systems
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They are then ready to tackle more advanced concepts. QPSK is among the most popular digital carrier modulations in use today.
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- Theory and Design of Digital Communication Systems by Tri T. Ha.
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Block diagrams of the basic modulator and detector designs Figures 1a and 1b are staples of digital communication textbooks. To fully understand how these designs work, students need more than a static representation on a page; they need to interact with the systems in a dynamic environment.
Simulink diagrams map easily to typical textbook diagrams of communication systems. This is very powerful pedagogically, because students can take a block diagram in a book and hook together Simulink blocks to build a version that they can simulate.
Suddenly, the theory in the book comes alive. They parameterize the blocks and run simulations, using an AWGN channel block to add white Gaussian noise to the signal. I have the students use a Signal From Workspace block to feed this modulated data into their detectors and extract the hidden message Figure 2.
They submit the message, with an eye diagram and signal space projections, as confirmation that their designs worked. In the labs, I limit the students to using a small subset of the blocks available in the Simulink environment. For example, they can use the Upsample and Downsample blocks from Signal Processing Blockset, but not the Demodulator blocks.
I want the students to learn how the more advanced blocks work by building them first from the ground up. Even for engineers, the math behind digital communication can be intimidating.
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Simulink enables me to cover an extraordinary amount of material in the 14 lab sessions. In fact, in the final month, we explore two topics rarely covered in undergraduate digital communication courses: In the final lab, students design and simulate a QPSK system with symbol timing synchronization Figure 3.
Cooperative spectrum-sensing algorithm in cognitive radio by simultaneous sensing and BER measurements. Compressive Sensing for Wireless Networks. Other MathWorks country sites are not optimized for visits from your location. Students must understand the principles of digital communication before they work on actual systems. Introduction to Data Compression.
With this textbook, students can understand how digital communication systems operate in the real world, learn how to design subsystems, and evaluate end-to-end performance with ease and confidence. To send content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about sending content to. To send content items to your Kindle, first ensure no-reply cambridge.
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Teaching Digital Communication Theory with Simulink at Brigham Young University
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Theory and Design of Digital Communication Systems
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Connecting theory with real-world applications, this textbook is suitable for two digital communication courses at the senior undergraduate and graduate levels. Cambridge Core - Communications and Signal Processing - Theory and Design of Digital Communication Systems - by Tri T. Ha.
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