Digital Signal Processing 6: Discrete-Time Fourier Transform

By Eliathamby Ambikairajah - University of New South Wales

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Lecture Description

Digital Signal Processing Discrete-Time Fourier Transform (DTFT) Electronic Whiteboard-Based Lecture

Course Description

Signal Processing is the process of measuring, manipulating or analysing information. Signals of interest include biomedical data, audio, still or moving images, radar, and even DNA. Filtering techniques can be crucial in revealing and interpreting information present in a signal. ELEC3104 Digital Signal Processing is an introductory signal processing course which takes students through the steps necessary to design and implement filters for a range of signals.

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Founded in 1849, the University of New South Wales (UNSW) is one of the world's leading research universities and part of the Universitas 21, a coalition of international research-focused universities. As one of Australia's leading schools, its campuses teach over 46,000 students in 600 academic programs. In 2009, the Financial Times ranked UNSW's The Australian School of Business the top MBA program in Australia and 32nd in the world. During the school's relatively short history, it has also managed to produce some of the leading political figures in Australia including a foreign minister in Bob Carr and former Attorney General of Australia, Robert McClelland.

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