lecture6 - CSE 471 Media Processing and Multimedia Digital...

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1 CSE 471 Media Processing and Multimedia Digital Filters We’ll decide on some desired spectral characteristics We’ll use tools or mathematics to create a filter that is as close as possible
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2 CSE 471 Media Processing and Multimedia Why we may design filters Low pass filters Remove high frequency noise Create muffled sounds Separate bass Blur images High pass filters Remove rumble, wind noise Edge enhancement Others Band pass filters Tone controls
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3 CSE 471 Media Processing and Multimedia We’ll start by analyzing filters We want to understand what happens What we are usually interested in: Magnitude frequency response
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4 CSE 471 Media Processing and Multimedia Digital Filters and Rates An interesting thing about digital signals: Playing at different rates simply scales A 1000 Hz sine wave at f s = 8000 is identical to a 0.125 Hz sine wave at f s =1 What we really care about is that the sine wave is 1/8 the sample rate!
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5 CSE 471 Media Processing and Multimedia Normalization We’ll assume a sample rate of 1 sample per second (or 2 π radians per second) for all future mathematics! What!?!?
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6 CSE 471 Media Processing and Multimedia Normalized sample rate 44,100 no more! Suppose I want to generate a filter that
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This note was uploaded on 07/25/2008 for the course CSE 471 taught by Professor Owen during the Fall '07 term at Michigan State University.

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lecture6 - CSE 471 Media Processing and Multimedia Digital...

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