Monday, Wednesday, Friday, 11:00-11:50, Duncan Hall 1064
| Week |
|
(Johnson & Wise) |
|
| 1 8/25 |
Course overview. |
Themes, Signals Represent Information, Structure of Communication Systems, The Fundamental Signal, Complex numbers (definitions, addition, polar and Cartesian forms), Elemental Signals, Signal Decomposition, Discrete-Time Signals | Problem Set I |
| 2* 9/1 WF |
Definition of systems, in both continuous-
and discrete-time. Introduction to block diagrams. Fundamental model of communication (XMTR -> Channel -> RCVR). Analog signals as voltages and currents. Circuit elements (R, C, L, sources). |
Introduction to Systems, Simple Systems, Voltage, Current, and Generic Circuit Elements, Ideal Circuit Elements, Ideal and Real-World Circuit Elements | Problem Set II |
| 3 9/8 |
Basic circuit analysis: KCL and KVL; voltage and current
divider. Power dissipation in circuits. Lab 1: Safety and basic measurements |
Electric Circuits and Interconnection Laws, Power Dissipation in Resistor Circuits, Series and Parallel Circuits | Problem Set III 3.1-3.4 Due 9/19 |
| 4 9/15 |
Equivalent circuits. Frequency domain circuit analysis: Complex-amplitude version of KVL, KCL, and v-i relations. Notions of impedance. More on complex numbers. Lab 2: Signal sources and sinks |
Equivalent Circuits: Resistors and Sources, Circuits with Capacitors and Inductors, Complex numbers (rational functions, the complex plane), The Impedance Concept, Time and Frequency Domains, Power in the Frequency Domain | Prepare for Quiz I |
| 5 9/22 |
Quiz I |
Equivalent Circuits: Impedances and Sources, Transfer Functions, Designing Transfer Functions, Formal Circuit Methods: Node Method, Power Conservation in Circuits, Electronics, Dependent Sources, Operational Amplifiers | Problem Set IV 3.5, 3.11, 3.12, 3.16, 3.17, 3.19, 3.22 Due 10/3 |
| 6 9/29 |
Introduction to diodes. Frequency-domain representation of signals (Fourier series). Fourier series. Lab 4: Signal Processing II: Active circuits |
The Diode Introduction to the Frequency Domain, Complex Fourier Series, Classic Fourier Series, A Signal's Spectrum, Fourier Series Approximation of Signals |
Problem Set V 3.30, 3.31, 4.1, 4.3 Due 10/10 |
| 7 10/6 |
Parseval's Theorem. Filtering periodic signals. The Fourier Transform. Fourier Transform properties. Return to communication systems. Introduction to AM. Lab 5: Signal analysis & characterization |
Encoding Information in the Frequency Domain, Filtering Periodic Signals, Derivation of the Fourier Transform | Problem Set VI 4.4, 4.5, 4.6, 4.12 Due 10/17 |
| 8* 10/13 WF |
Characterizing speech. |
Linear, Time-Invariant Systems, Modeling the Speech Signal, Introduction to Digital Signal Processing, Introduction to Computer Organization, The Sampling Theorem, Amplitude Quantization |
Prepare for Quiz II |
| 9 10/20 |
Quiz II Computation of Digital Systems, Discrete-time Fourier transform. |
Discrete Time Signals and Systems, Discrete-Time Fourier Transform (DTFT) |
Problem Set VII 4.8, 5.1, 5.2, 5.7 Due 10/31 |
| 10 10/27 |
DFT and the FFT. Computational complexity and real-time systems. Spectrograms. Lab 7: Digital Signal Processing I |
Discrete Fourier Transform (DFT), DFT: Computational Complexity, Fast Fourier Transform (FFT), Spectrograms, Discrete-Time Systems, Discrete-Time Systems in the Time Domain | Problem Set VIII 5.8, 5.9, 5.19, 5.20 Due 11/7 |
| 11 11/3 |
Manipulation of DT signals with difference equations. Frequency-domain filtering. Mixed discrete- and continuous-time systems Lab 8: Digital Signal Processing II |
Discrete-Time Systems in the Frequency Domain, Filtering in the Frequency Domain, Efficiency in Frequency-Domain Filtering, Discrete-Time Filtering of Analog Signals | Problem Set IX 5.13, 5.15, 5.29, 6.11 Due 11/14 |
| 12 11/10 |
Communication systems. Wireline and wireless channels. Channel models. Baseband and modulated communication. Analog communication: Noise and its sources. Filters and denoising for noise reduction. Signal-to-noise ratio. Analysis of baseband and AM systems. Lab 9: Optical Communication |
Information Communication, Types of Communication Channels, Wireline Channels, Wireless Channels, Line-of-Sight Transmission, The Ionosphere and Communcation, Communication with Satellites, Noise and Interference, Channel Models, Baseband Communications, Modulated Communication, Signal-to-Noise Ratio of an Amplitude-Modulated Signal |
Problem Set X |
| 13 11/17 |
Digital Communication: Representing bits with analog signals. Notion of datarate. Shannon's Source Coding Theorem. Introduction to compression (lossless and lossy). Huffman codes. Receivers for digital communication Error correcting codes. Lab 9 continued |
Digital Communication, Binary Phase Shift Keying, Frequency Shift Keying, Digital Communication Receivers, Digital Communication in the Presence of Noise, Digital Communication System Properties, Digital Channels, Entropy, Source Coding Theorem, Compression and the Huffman Code | Prepare for Quiz III |
| 14* 11/24 MW |
Quiz III |
Subtleties of Coding, Channel Coding, Repetition Codes, Block Channel Coding, Error-Correcting Codes: Hamming Distance, Error-Correcting Codes: Channel Decoding, Error Correcting Codes: Hamming Codes | |
| 15 12/1 |
Fundamental limits of communication systems. Comparison of analog and digital waveform communications systems. |
Noisy Channel Coding Theorem, Capacity of a Channel, Comparison of Analog and Digital Communication, | Problem Set XI (Extra Credit) 6.15, 6.16, 6.18, 6.22, 6.27 Due 12/5 |
One of Wednesday, Friday (2-5PM), or Thursday (2:30-5:30PM), Abercrombie A141