MAS.160这门课程在作业部分提供了一组完整的
习题，在
阅读材料部分为信号与系统的初学者提供了一些有益的阅读素材。
This class offers a complete set of problem sets, in the
assignments section, and some helpful reading materials for beginners to signals and systems in the
readings section.
信号与信息理论的基础强调了建立听觉/视觉信息和生理信号模型，以及建立来自人的或者由人接收的信号的模型。线性系统，微分方程，Z变换，采样和采样率转换，卷积，滤波，调制，傅立叶变换，熵，噪音，香农基础定理。额外的话题包括数据压缩，滤波器设计，特征检测。类似与课程MAS.510，MAS.511，但布置的作业不同。
Fundamentals of signals and information theory with emphasis on modeling audio/visual messages and physiologically-derived signals, and the human source or recipient. Linear systems, difference equations, Z-transforms, sampling and sampling rate conversion, convolution, filtering, modulation, Fourier analysis, entropy, noise, Shannon's fundamental theorems. Additional topics may include data compression, filter design, and feature detection. Meets with graduate subjects MAS.510, MAS.511 but assignments differ.
