Lecture 1: Introduction | Digital Signal Processing | Electrical Engineering and Computer Science | MIT OpenCourseWare
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Lecture 1: Introduction | Digital Signal Processing | Electrical Engineering and Computer Science | MIT OpenCourseWare
MIT OpenCourseWare is a web based publication of virtually all MIT course content. OCW is open and available to the world and is a permanent MIT activity
Apr 7, 2022
Signal Processing Applications
Radio astronomy represents one of the most sophisticated applications of signal processing and interferometry in scientific research. The fundamental principle involves detecting radio frequency signatures emitted by cosmic phenomena, with different physical processes generating distinct radio signals that reveal the universe's composition and behaviour. The interferometric array approach - using multiple coordinated dishes as a single instrument - demonstrates advanced engineering and computati
Radio astronomy represents one of the most sophisticated applications of signal processing and interferometry in scientific research. The fundamental principle involves detecting radio frequency signatures emitted by cosmic phenomena, with different physical processes generating distinct radio signals that reveal the universe's composition and behaviour. The interferometric array approach - using multiple coordinated dishes as a single instrument - demonstrates advanced engineering and computati
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