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Signals and Communications
ECE 156

Course Information

Description

This course is a follow-on to ECE 155 (ENG-SCI 155) and continues to develop the fundamentals of information systems in the real world. It focuses on the analysis and manipulation of signals in the time and frequency domains in the context of authentic applications. Topics include: the sampling theorem, convolution, and linear input-output systems in continuous and discrete time. Further, students are introduced to transforms—including Fourier, discrete cosine, wavelet, and PCA / SVD ‘transforms’—that map between vector spaces via matrix multiplication as a method to ease analysis provided conditionalized knowledge. Randomness, noise, and filtering. Waves and interference in the context of communications; antennae, phasors, modulation, multiplexing. Applications in communications and data science.

Course Notes

This course was formerly numbered Engineering Sciences 156 (ES 156).

School Faculty of Arts & Sciences
Credits 4
Cross Reg

Available for Harvard Cross Registration

Course Component Lecture
Grading Basis FAS Letter Graded
Course Requirements Prerequisite: Math 21a and Math 21b (or equivalents), or Applied Math 22a
General Education N/A
Quantitative Reasoning with Data N/A
Divisional Distribution Science & Engineering & Applied Science
Course Level For Undergraduate and Graduate Students