This course covers fundamental aspects of communication systems, including topics such as data rate, bandwidth, digital communications, Gaussian noise, constellation diagrams, SNR, matched filters, pulse shaping, eye diagrams, autocorrelation, power spectral density, MIMO, CDMA, MAC addresses, IP addresses, channel estimation, and antenna gain. The course aims to teach students about the relationship between data rate and bandwidth, how data is sent, and various concepts in digital communications. The teaching method includes lectures and examples in digital communications. This course is intended for individuals interested in gaining a foundational understanding of communication systems.
Overview
Syllabus
How are Data Rate and Bandwidth Related?.
How is Data Sent? An Overview of Digital Communications.
What is Gaussian Noise?.
What is a Constellation Diagram?.
What are SNR and Eb/No?.
What is Intersymbol Interference ISI?.
What is a Matched Filter?.
Pulse Shaping and Square Root Raised Cosine.
What is an Eye Diagram?.
Autocorrelation and Power Spectral Density (PSD) Examples in Digital Communications.
What is White Gaussian Noise (WGN)?.
What is Noise Power in Communication Systems?.
How are Correlation and Convolution Related in Digital Communications?.
How are Bit Error Rate (BER) and Symbol Error Rate (SER) Related?.
How are Throughput, Bandwidth, and Data Rate Related?.
Signal Model for MIMO and CDMA.
How are Matched Filter (MF), Zero Forcing (ZF), and MMSE Related?.
What is the Bandwidth of a Digital Clock Waveform?.
What's the Difference Between a MAC address and an IP Address?.
Channel Estimation for Mobile Communications.
What are Antenna Gain, EIRP, and Friis Equation?.
Taught by
Iain Explains Signals, Systems, and Digital Comms
