Iain Explains Signals, Systems, and Digital Comms Courses

Sampling Signals - Introduction Lecture

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Explains how continuous-time signals become discrete samples, deriving Nyquist-rate reconstruction and illustrating aliasing through impulse trains, Fourier transforms, and ideal low-pass filtering.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

How Are the Fourier Series, Fourier Transform, DTFT, DFT, FFT, LT and ZT Related?

Compares Fourier series, Fourier, discrete-time Fourier, discrete Fourier, fast Fourier, Laplace, and Z-transforms across continuous- and discrete-time signals.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Visualising Digital Communications: QAM with Real Signals

Explore digital quadrature amplitude modulation using real signals from a software defined radio. Visualize wireless transmission and gain insights into digital communication systems.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

Beamforming in Practice: The Need for Calibration at 28 GHz mm-Wave - Part 1

Discover practical insights into beamforming hardware calibration at 28 GHz mm-wave frequencies, exploring real-world applications and requirements for future 6G mobile communications.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

Visualising Digital Modulation: ASK, FSK, BPSK, DPSK, QPSK and QAM

Explore digital modulation formats with visual waveform examples for ASK, FSK, BPSK, DPSK, QPSK, and QAM, enhancing understanding of signal transmission techniques.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

Introduction to Signal Processing Windowing - From Audio Compression to Digital Analysis

Discover how windowing techniques in signal processing enable audio compression and spectral analysis through practical examples and clear explanations.

• YouTube
• 10 minutes
• Self-Paced
• Free Video

Delay Doppler, Zac-OTFS, and Pulse Shaping Explained

Delve into the principles of Delay Doppler communications and Zac-OTFS modulation, including pulse shaping techniques for time-domain implementations with mathematical foundations and practical applications.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

What is a Phase Spectrum? Understanding Fourier Transform Components

Delve into the concept of Phase Spectrum in signal processing, understanding its importance compared to Amplitude Spectrum and its applications in amplifier design through Fourier transform analysis of sinusoids.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

Frequency Response of an RLC Circuit

Explore how RLC circuits filter signals through frequency response analysis using Laplace and Fourier transforms to understand resistor, inductor, and capacitor design impacts.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

What is Minimum Shift Keyed (MSK) Modulation in Digital Communications?

Explore Minimum Shift Keyed (MSK) modulation in digital communications, understanding its properties and relationship to BPSK and 4-PSK in this concise 15-minute explanation.

• YouTube
• 15 minutes
• Self-Paced
• Free Video

Impulse Response of an RC Circuit

Explore how RC circuits filter signals through Laplace transforms, understanding the relationship to Fourier transforms and frequency response while examining resistor and capacitor value effects.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

Estimation, Filtering and Prediction

Dive into digital filtering, estimation, and prediction techniques including Kalman filters, least squares estimation, and adaptive algorithms for signal processing applications.

• YouTube
• 1 hour 44 minutes
• Self-Paced
• Free Video

Fundamental Concepts of Electricity and Electrical Circuits

Discover fundamental electricity concepts including voltage, current, capacitors, power flow, and circuit analysis through practical engineering examples.

• YouTube
• 1 hour 38 minutes
• Self-Paced
• Free Video

Essential Maths for Studying Signals and Systems

Discover essential mathematical foundations for signals and systems, covering complex numbers, exponentials, projections, and their real-world applications.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

Discrete Fourier Transform - DFT and FFT

Discover how DFT and FFT transform discrete signals into frequency domain, covering sinusoids, sampling, OFDM applications, and practical watermarking techniques.

• YouTube
• 1 hour 40 minutes
• Self-Paced
• Free Video