Wireless Digital Communications and Signal Processing

Focused View

Benny Bing

4:38:20

15 View

1. Introduction

1. Introduction.mp4

18:10

2. Channel Models, Modulation, Link Adaptation

1. Channel Models, Modulation, Link Adaptation.mp4

25:22

3. Binary Communications, Entropy, Shannon Capacity

1. Binary Communications, Entropy, Shannon Capacity.mp4

17:02

4. Sampling Theorem, Quantization, Pulse Shaping, Multi-level Modulation

1. Sampling Theorem, Quantization, Pulse Shaping, Multi-level Modulation.mp4

12:18

5. Power Spectral Analysis and Error Performance for QAM

1. Power Spectral Analysis and Error Performance for QAM.mp4

17:14

6. Error-Control Coding and Error Performance

1. Error-Control Coding and Error Performance.mp4

23:29

7. Signal Estimation and Noise in Digital Communications

1. Signal Estimation and Noise in Digital Communications.mp4

21:38

8. Multiple Access Communications

1. Multiple Access Communications.mp4

19:33

9. Wireless Communications System

1. Wireless Communications System.mp4

19:47

10. Nyquist Sampling Theorem and Bandlimited Signals

1. Nyquist Sampling Theorem and Bandlimited Signals.mp4

15:45

11. Baseband Equivalent Channel and Digital Modulation

1. Baseband Equivalent Channel and Digital Modulation.mp4

20:04

12. Matched Filters and Symbol Synchronization

1. Matched Filters and Symbol Synchronization.mp4

12:15

2. Matched Filter Demo.mp4

01:15

3. Equalization and Frequency Offset Estimation.mp4

23:12

4. Wireless Channel Modeling and Velocity Measurement.mp4

17:22

13. Delta-Sigma Modulators, Noise Shaping, Direct Sampling, Power Amplifier Lineariz

1. Delta-Sigma Modulators, Noise Shaping, Direct Sampling, Power Amplifier Lineariz.mp4

13:54

Description

Modulation, coding, pulse shaping, signal estimation, channel modeling, multicarrier and multiantenna transmission

What You'll Learn?

Understand the fundamental principles of wireless signal transmission and processing
Evaluate modulation and coding schemes for a given application, and compare the error performance of different modulations
Apply channel models and pulse shaping in wireless systems
Learn equalization techniques, matched filtering, and spectral estimation
Review multicarrier transmission, analyze subcarrier power loading, and evaluate the impact of frequency offset
Design and optimize digital beamforming and multiple antenna systems
Direct Sampling, Power Amplifier Linearization, N-Path Filtering, Phase-Locked Loop

Who is this for?

Anyone who wish to gain a deeper understanding of wireless communications

Wireless signal processing engineers working on physical layer (PHY) algorithm design and optimization

What You Need to Know?

A background in wireless communications and digital signal processing

Some knowledge of linear algebra and probability theory

More details

Description
Wireless networks have expanded beyond person-to-person communications, connecting not only users but also machines, devices, and objects. Using 420 illustrative slides, this course will cover the fundamental principles of digital communications and describe the role of digital signal processing in driving wireless technologies. Participants will learn how to analyze the performance of digital modulation techniques such as quadrature amplitude modulation (QAM) and apply them in modern wireless systems. High-order modulation (such as 256-QAM, 1024-QAM) achieves greater spectral efficiency, thus leading to higher data rates. They form the basis of current and emerging wireless standards (such as 5G and Wi-Fi). By changing the modulation and coding, the available data rate and robustness of the wireless signal can be adapted to deployment conditions.
The Nyquist Theorem allows bandlimited continuous-time signals to be represented by their discrete-time samples. Consequently, a wireless communications system, including channel impairments like multipath fading and noise, can be analyzed in terms of their discrete-time equivalents. Linear time-invariant systems, which are characterized by convolution with an impulse response, can be used to model wireless channels. Deconvolution can be used to equalize the effects of the channel. Upsampling, downsampling, and multirate signal processing allow efficient implementation of pulse shaping at the transmitter and matched filtering at the receiver. This course will present many DSP tools that are relevant to wireless system design, analysis, and optimization, including practical techniques related to multiple antenna signal processing (transmit beamforming, spatial multiplexing, and space-time coding).
Who this course is for:
Anyone who wish to gain a deeper understanding of wireless communications
Wireless signal processing engineers working on physical layer (PHY) algorithm design and optimization

User Reviews

Rating

average 0

Total votes0

Focused display

Benny Bing has worked in academia for 30 years, and has published 20 books and over 70 scientific research papers. In 1999, Cisco Systems adopted 18,000 printed copies of his pioneering book on Wi-Fi to launch its first wireless product. He has also published a software-defined radio article for the IEEE Spectrum and was featured in the MIT Technology Review. He has taught custom courses for many companies, universities, and the IEEE, including 8 industry-sponsored tutorials for the IEEE. His 6 U.S. patents were all licensed to industry and he has served as a residential broadband technology panelist for the National Science Foundation. He has received several industry, research, and teaching awards, such as the NAB Technology Innovation Award, the European Interactive TV Grand Challenge first prize, 2 IEEE best paper awards, and the Georgia Tech Center for the Enhancement of Teaching and Learning award. He is a certified computer-aided instructor, and has trained hundreds of engineers from China, Taiwan, Korea, India, Malaysia, Germany, Spain, Portugal, Chicago, Colorado, Atlanta, San Diego, and San Francisco.

Udemy

View courses Udemy

Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.