A delta-sigma converter uses many samples from the modulator to produce a stream of 1-bit codes. The delta-sigma ADC accomplishes this task by using an input-signal quantizer running at a high sample ...

The delta-sigma ADC tackles the application demands of a slow analog signal that requires a high signal-to-noise-ratio (SNR) and wide dynamic range. But, the delta-sigma converter is not the only ...

My last column showed how a single-stage delta-sigma modulator (DSM) produces an output that is a sum of the low pass-filtered input signal and the high pass-filtered quantization noise (see “Part 4,” ...

Sigma-delta converters are in wide use among applications that demand high precision and accuracy. A variant of the sigma-delta architecture, called the continuous-time sigma delta (CT-S?), has found ...

The requirement of effective analog to digital conversion and accuracy gives growth to converters. The sigma delta modulator have a salient feature of shaping the noise, such that noise reduces from ...

In this paper, we will attempt to explain sigma delta converters with a non-mathematical approach, covering the basic concepts of noise shaping and oversampling, explained with the help of some ...

Analog Devices has introduced a wideband analogue-to-digital converter (ADC) which it claims does not have the noise-level penalties usually attributed to multi-MHz bandwidth ADCs. The design is based ...

In part one, I compared the different Analog to Digital Converters (ADC) and the roles and properties of Delta Sigma ADC’s. I covered a lot of the theory behind these devices, so in this installment, ...

The Analog-to-Digital Converter (ADC) is a key component in digital communications receive channels, and the correct choice of ADC is critical for optimizing system design. In this article, we discuss ...

Incremental analog-to-digital converters (ADCs) and delta-sigma modulators represent two advanced architectures that have been pivotal in high-precision signal processing. Incremental ADCs convert ...

A signal-to-noise ratio (SNR) lets us express the relationship between signal and noise powers, as well as between the root-mean-square (rms) values of signal and noise voltages: SNR (dB) = ...