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Published bySilas Worrel Modified about 1 year ago

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Husheng Li, UTK-EECS, Fall 2012

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An ideal low pass filter can be used to obtain the exact original signal.

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We can use C/D converter to convert a continuous-time signal to a discrete-time one, process it in a discrete-time system, and then convert it back to continuous time domain.

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We can use a discrete-time low pass filter (LPF) to do the low pass filtering for continuous time signal.

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The ideal low pass discrete-time filter with discrete-time cutoff frequency w has the effect of an ideal low pass filter with cutoff frequency w/T.

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We can also use continuous-time system to process discrete-time signals.

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With aliasing Without aliasing

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A general system for downsampling by a factor of M is the one shown above, which is called a decimator.

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The change of sampling rate by a non-integer factor can be realized by the cascade of interpolator and decimator.

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Multirate techniques refer in general to utilizing upsampling, downsampling, compressors and expanders in a variety of ways to improve the efficiency of signal processing systems.

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The operations of linear filtering and downsampling / upsampling can be exchanged if we modify the linear filter.

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The two stage implementation is often much more efficient than a single-stage implementation. The same multistage principles can also be applied to interpolation

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In practice, continuous time signals are not precisely band limited, ideal filters cannot be realized, ideal C/D and D/C converters can only be approximated by A/D and D/A converters.

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We can use oversampled A/D to simplify the continuous-time antialiasing filter.

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Key point: the noise is aliased; but the signal is not. Then, the noise can be removed using a sharp-cutoff decimation filter.

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This quantizer is suitable for bipolar signals. Generally, the number of quantization levels should be a power of tow, but the number is usually much larger than 8.

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Oversampling can make it possible to implement sharp cutoff antialiasing filtering by incorporating digital filtering and decimation. Oversampling and subsequent discrete-time filtering and downsampling also permit an increase in the step size of the quantizer, or equivalently, a reduction in the number of bits required in the A/D conversion.

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