文件名称:
UC Berkley Signals and Systems
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上传时间: 2013-05-12
详细说明： 伯克利的“信号与系统” The course begins by describing signals as functions, focusing on characterizing the domain and the range. Systems are also described as functions, but now the domain and range are sets of signals. Characterizing these functions is the topic of this course. Sets and functions provide the unifying notation and formalism. We begin by describing systems using the notion of state, first using automata theory and then progressing to linear systems. Frequency domain concepts are introduced as a complementary toolset, diffe rent from that of state machines, and much more powerful when applicable. Frequency decomposition of signals is introduced using psychoacoustics, and gradually developed until all four Fourier transforms (the Fourier series, the Fourier transform, the discrete-time Fourier transform, and the DFT) have been described. We linger on the first of these, the Fourier series, since it is conceptually the easiest, and then quickly present the others as simple generalizations of the Fourier series. Finally, the course closes by using these concepts to study sampling and aliasing, which helps bridge the computational world with the physical world. This text has evolved to support a course we now teach regularly at Berkeley to about 500 students per year. An extensive accompanying web page is organized around Berkeley’s 15 week semester, although we believe it can be adapted to other formats. ...展开收缩
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