Lec 1: Signals and Sysytems
Lec 2: Discrete-Time (DT) Systems
Lec 3: Feedback, Poles, and Fundamental Modes
Lec 4: Continuous-Time (CT) Systems
Lec 5: Z -Transform
Lec 6: Laplace Transform
Lec 7: Discrete Approximation of Continuous-Time Systems
Lec 8: Convolution
Lec 9: Frequency Response
Lec 10: Feedback and Control
Lec 11: Continuous-Time (CT) Frequency Response and Bode Plot
Lec 12: Continuous-Time (CT) Feedback and Control, Part 1
Lec 13: Continuous-Time (CT) Feedback and Control, Part 2
Lec 14: Fourier Representations
Lec 15: Fourier Series
Lec 16: Fourier Transform
Lec 17: Discrete-Time (DT) Frequency Representations
Lec 18: Discrete-Time (DT) Fourier Representations
Lec 19: Relations Among Fourier Representations
Lec 20: Applications of Fourier Transforms
Lec 21: Sampling
Lec 22: Sampling and Quantization
Lec 23: Modulation, Part 1
Lec 24: Modulation, Part 2
The fundamentals of signal and system analysis, focusing on representations of discrete-time and continuous-time signals (singularity functions, complex exponentials and geometrics, Fourier representations, Laplace and Z transforms, sampling) and representations of linear, time-invariant systems (difference and differential equations, block diagrams, system functions, poles and zeros, convolution, impulse and step responses, frequency responses). Applications are drawn broadly from engineering and physics, including feedback and control, communications, and signal processing.