University of Florida EEL 4514C
Professor Ji · University of Florida · 19 lectures with notes
Students in this class: ask your lecturer for the class code, and these lectures will already be in your library when you sign up.
EEL4514C Communication Systems and Components, Fall 2026, Lecture 19
Angle modulation trades more complex demodulation for constant-envelope transmission and improved resistance to amplitude noise.
EEL4514C Communication Systems and Components, Fall 2026, Lecture 18
QAM uses orthogonal cosine and sine carriers to transmit two signals in the same bandwidth, with applications in analog TV and communications.
EEL4514C Communication Systems and Components, Fall 2026, Lecture 17
SSB saves bandwidth with Hilbert-transform processing, VSB eases filter requirements, and QAM carries two messages on orthogonal carriers.
EEL4514C Communication Systems and Components, Fall 2026, Lecture 16
AM’s carrier wastes power and bandwidth, motivating non-coherent detection and Hilbert-transform-based single-sideband modulation.
EEL4514C Communication Systems and Components, Fall 2026, Lecture 15
AM trades substantial carrier power for easier demodulation, while square-law detection imposes the stricter condition fc > 2B.
EEL4514C Communication Systems and Components, Fall 2026, Lecture 14
Carrier phase synchronization determines whether coherent demodulation recovers, erases, or inverts an amplitude-modulated message.
EEL4514C Communication Systems and Components, Fall 2026, Lecture 13
Autocorrelation links signal power to PSD, while carrier modulation shifts message information into frequency bands for transmission.
EEL4514C Communication Systems and Components, Fall 2026, Lecture 12
Autocorrelation provides a time-domain route to ESD and PSD, including a harmonic-impulse PSD for a periodic square wave.
EEL4514C Communication Systems and Components, Fall 2026, Lecture 11
Fourier analysis links signal energy, bandwidth, distortion, and modulation through Parseval’s theorem and energy spectral density.
EEL4514C Communication Systems and Components, Fall 2026, Lecture 10
Pulse compression increases bandwidth, while nonlinear amplification can broaden a signal spectrum and prevent faithful transmission.
EEL4514C Communication Systems and Components, Fall 2026, Lecture 09
A periodic signal’s Fourier transform is an impulse train weighted by its Fourier series coefficients.
EEL4514C Communication Systems and Components, Fall 2026, Lecture 08
A periodic signal’s Fourier-series coefficients are scaled samples of one period’s Fourier transform, a connection that motivates OFDM.
EEL4514C Communication Systems and Components, Fall 2026, Lecture 07
Fourier analysis turns LTI-system filtering into frequency-by-frequency multiplication, providing the mathematical basis for communication techniques such as OFDM and modulation.
EEL4514C Communication Systems and Components, Fall 2026, Lecture 06
Complex Fourier series turn periodic signals into harmonics that LTI systems independently scale by their frequency response.
EEL4514C Communication Systems and Components, Fall 2026, Lecture 05
Mingyue Ji develops the signal-analysis foundations needed for communication systems, from complex exponentials and power signals to delta functions.
EEL4514C Communication Systems and Components, Fall 2026, Lecture 04
Reference-distance path-loss calculations and dBW/dBm conversions turn antenna and propagation parameters into practical received-power estimates.
EEL4514C Communication Systems and Components, Fall 2026, Lecture 03
The Friis equation quantifies how distance, frequency, and antenna gain determine received wireless power.
EEL4514C Communication Systems and Components, Fall 2026, Lecture 02
The wavelength relation λ = c/f links carrier frequency to antenna scale and helps explain wireless propagation.
EEL4514C Communication Systems and Components, Fall 2026, Lecture 01
Mingyue Ji connects the course’s hands-on SDR labs to the communication-system building blocks and technologies behind modern wireless networks.