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Why Data Conversion? Real world is analog Mostly, communication and computation is digital Need a component to convert analog signals to digital (ADC) and convert the processed digital signal back to analog (DAC)

Why Data Conversion?

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Why Data Conversion?. Real world is analog Mostly, communication and computation is digital Need a component to convert analog signals to digital (ADC) and convert the processed digital signal back to analog (DAC). Types of Data Converters. Niquist rate data converters Serial - PowerPoint PPT Presentation

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Page 1: Why Data Conversion?

Why Data Conversion?• Real world is analog• Mostly, communication and computation is digital• Need a component to convert analog signals to digital (ADC) and convert the processed digital signal back to analog (DAC)

Page 2: Why Data Conversion?

Types of Data Converters

• Niquist rate data converters• Serial• Successive approximation• Flash

• Oversampling (Sigma-Delta)

• Power consumption• Area consumption• Operating speed • Conversion time (delay)• Error (Linearity)• Noise performance• And many more….

How is a data converter characterized ???

Page 3: Why Data Conversion?
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Page 5: Why Data Conversion?

Ideal DAC/ADC characteristics

DAC ADC

Page 6: Why Data Conversion?

Integral Non-Linearity Error

INL: Deviation of the code transition from its ideal location

Page 7: Why Data Conversion?

Differential Non-Linearity Error

DNL: Deviation of the code width from 1 LSB

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Page 9: Why Data Conversion?

Full Scale Error

Full scale error: Difference between the actual value that triggers the transition to full-scale and the ideal analog full-scale transition value

Page 10: Why Data Conversion?

Gain Error

Gain error: Difference between the slope of an actual transfer function matches the slope of the ideal transfer function

Page 11: Why Data Conversion?

Noise Performance

SNR (signal to noise ratio): Ratio of the fundamental signal to the noise spectrum.

THD (total harmonic distortion): Ratio of the fundamental signal tothe noise spectrum.

SFDR (spurious free dynamic range): Ratio of the fundamental signal and the highest spurious in the spectrum

SINAD (Signal-to-Noise And Distortion): combination of SNR and THDSINAD = 20 * log ([Fundamental] / SQRT (SUM (SQR([Noise + Harmonics]))))

ENOB (Effective Number of Bits): (SINAD – 1.76) / 6.02

Page 12: Why Data Conversion?

More Information

http://www.maxim-ic.com/appnotes.cfm/appnote_number/641

http://inst.eecs.berkeley.edu/~ee247/fa05/lectures/L12_2_f05.pdf

http://inst.eecs.berkeley.edu/~ee247/fa05/lectures/L11b_f05.pdf

Preliminary

Slightly Advanced