EE 435 Lect 26 Spring 2010

EE 435 Lect 26 Spring 2010 - EE 435 Lecture 26 Data...

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EE 435 Lecture 26 Data Converters Data Converter Characterization
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Data Converter Architectures IN X G • Large number of different circuits have been proposed for building data converters • Often a dramatic difference in performance from one structure to another • Performance of almost all structures are identical if ideal components are used • Much of data converter design involves identifying the problems associated with a given structure and figuring out ways to reduce the effects of these problems • Critical that all problems that are significant be identified and solved • Many of the problems are statistical in nature and implications of not solving problems are in a yield loss that may be dramatic .• • • Review from last lecture .•
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Data Converter Architectures IN X G Nyquist Rate Flash Pipeline Two-step and Multi-Step Interpolating Algorithmic/Cyclic Successive Approximation Register Single Slope / Dual Slope Subranging Folded Current Steering R-string Charge Redistribution Algorithmic R-2R (ladder) Pipelined Subranging Over-Sampled (Delta-Sigma) Discrete-time First-order/Higher Order Continuous-time Discrete-time First-order/Higher Order Continuous-time .• • • Review from last lecture .•
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Performance Characterization of Data Converters • A very large number of parameters (2 n ) characterize the static performance of an ADC! • A large (but much smaller) number of parameters are invariably used to characterize a data converter • Performance parameters of interest depend strongly on the application • Very small number of parameters of interest in many/most applications • “Catalog” data converters are generally intended to satisfy a wide range of applications and thus have much more stringent requirements placd on their performance • Custom application-specific data converter will generally perform much better than a “catalog” part in the same IN X G
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Performance Characterization of Data Converters • Static characteristics – Resolution – Least Significant Bit (LSB) – Offset and Gain Errors – Absolute Accuracy – Relative Accuracy – Integral Nonlinearity (INL) – Differential Nonlinearity (DNL) – Monotonicity (DAC) – Missing Codes (ADC) – Low-f Spurious Free Dynamic Range (SFDR) – Low-f Total Harmonic Distortion (THD) – Effective Number of Bits (ENOB) – Power Dissipation
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Performance Characterization of Data Converters • Dynamic characteristics – Conversion Time or Conversion Rate (ADC) – Settling time or Clock Rate (DAC) – Sampling Time Uncertainty (aperture uncertainty or aperture jitter) – Dynamic Range – Spurious Free Dynamic Range (SFDR) – Total Harmonic Distortion (THD) – Signal to Noise Ratio (SNR) – Signal to Noise and Distortion Ratio (SNDR) – Sparkle Characteristics – Effective Number of Bits (ENOB)
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Dynamic characteristics • Degradation of dynamic performance parameters often due to nonideal effects in time-domain performance • Dynamic characteristics often high resolution data
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EE 435 Lect 26 Spring 2010 - EE 435 Lecture 26 Data...

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