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- lec21 - University of Pennsylvania
“Zero-order mismatch-shaping makes ADC linearity independent of capacitor mismatch That is achieved by dynamic element matching (DEM) of 32 MSB DAC units, in combination with dithering a binary-weighted LSB segment [1]
- ADC performance evolution: Walden figure-of-merit (FOM)
FA1 is sometimes referred to as the Walden or ISSCC FOM and relates the ADC power dissipation to its performance, represented by sampling rate and conversion error amplitude The best reported FA1 value each year has been plotted for delta-sigma modulators (DSM) and Nyquist ADCs in Fig 1
- Using Figures-of-Merit to Evaluate Measured A D-Converter . . . - IMEKO
Abstract—This work surveys various figures-of-merit (FOM) that have been used to evaluate and compare measured ADC performance, and takes a first step towards a systematic classification and analysis
- Oversampling and Sigma-Delta ADCs
Assume we wanted to figure out the resolution, or effective number of bits for an ADC limited by quantization noise A power ratio, like signal-to-quantization noise ratio (SQNR) is one way to represent resolution
- A 10-bit 1-GS s CMOS ADC with FOM = 70 fJ Conversion
Utilizing these concepts, a 10-bit 1-GS s ADC has been demonstrated that improves the FOM by a factor of 2 6 with respect to the Pipelined ADCs can greatly benefit from the use of multi-bit front ends that incorporate precharged resistor-ladder DACs
- ADC Figure of Merit - UCO Lick
The ADC introduces some additional image size due to aberrations We estimate the additional image size due to the ADC using the formula from the Preliminary Design Optics Report that FWHM(′′) = 0 0023 Rrms(μm); the maximum additional component due to the ADC aberrations is 0 16′′
- cbadc. fom — cbadc documentation
cbadc fom Figures of merit This module provides tools to evaluate standard figures of merit as well as provides an interface to Prof Boris Murmann’s famous ADC Survey Functions Classes
- Help me in calculating FOM of ADC | Forum for Electronics
FOM is the energy efficiency In thermal noise dominated ADC, the low power consumption limit is P = 8KT Fs SNR^2 So for FOM = P (Fs SNR^2) thats why we have FOM2 Also using FOM1, low resolution looks better Whereas, using FOM2 give credit to higher resolution
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