Abstract—Extended-counting analog-to-digital conversion combines the accuracy of 61 modulation with the speed of algorithmic conversion. In this paper, a double-sampling technique is introduced for this type of converter. It is based on a variant of the fully floating bilinear integrator. This way, the clock frequency of the converter is almost halved. An experimental converter was designed in a 0.6- m CMOS technology for a bandwidth of 500 kHz at a 3.3-V supply. In the switched-capacitor implementation, the hardware is extensively reused. This way, the converter can be realized with only one operational amplifier. On the other hand, compared to alternative implementations, the amount of switches is increased. These are designed carefully in order not to degrade the performance. The converter converts a sample in 24 clock cycles and achieves a dynamic range of 87 dB. The peak signal-to-noise ratio (SNR) and signal-to-noise-plus-distortion ratio (SNDR) were measured to be 82 and 81 dB, respectively. The power consumption was 28-mW analog and 20-mW digital. The converter core occupies 0.7 mmP including digital logic. Index Terms—Analog-to-digital conversion, double sampling, extended counting. I.

Abstract—Double-sampling techniques allow to double the sampling frequency of a switched capacitor 61 analog-to-digital convertors without increasing the clock frequency. Unfortunately, path mismatch between the double sampling branches may cause noise folding, which could ruin the modulator’s performance. The fully floating double-sampling integrator is an interesting building block to be used in such a double sampling 61 modulator because its operation is tolerant to path mismatch. However, this circuit exhibits an undesired bilinear filter effect. This effectively increases the order of the modulator by one. Due to this, previously presented structures don’t have enough freedom to fully control the modulator pole positions. In this paper, we introduce modified topologies for double-sampling 61 modulators built with bilinear integrators. We show that these architectures provide full control of the modulator pole positions and hence can be used to implement any noise transfer function. Additionally, analytical expressions are obtained for the residual folded noise. Index Terms—Analog-to-digital convertors, double sampling, 61 modulation. I.

(ADCs) are sensitive to path mismatch which causes quantization noise to fold into the signal band. A recent solution for this problem consists of modifying the noise transfer function (NTF) of the modulator such that it has one or several zeros at the Nyquist frequency, next to those in the baseband. In this brief, we present a systematic design strategy for such ADCs. It consists of finding optimal pole positions for the modified NTF. This can be combined with optimizing the zeros as well. Next, we introduce several efficient structures that have enough degrees of freedom to realize the optimized pole positions. Index Terms—Analog–digital (A/D) conversion, double sampling, sigma–delta 61 modulation. I.

Abstract—In a double-sampling quadrature bandpass sigma– delta modulator, path mismatch between the double-sampling branches and between the I/Q paths occurs. In this paper, an analytical study is presented which shows that this causes quantization noise and input signals to fold from the image band into the signal band and that this also results in a self-image component. To reduce the folding from the image band, a novel resonator is presented. This resonator has a bilinear input circuit so that noise and signals exhibits first-order shaping before folding in the band of interest. Next, three different modulator architectures based on the novel resonator are introduced. Finally, the remaining problem of self-image is tackled with a simple, yet efficient offline calibration strategy. Various design examples are shown and simulated to illustrate and prove the effectiveness of the proposed architectures and methods. Index Terms—Analog-to-digital (A/D) conversion, bilinear circuits, double sampling, sigma–delta (61 modulation. I.

Abstract—This brief addresses some practical issues on the implementation of the input-feedforward delta–sigma modulators. First, the timing constraint imposed by the input-feedforward path is identified and a possible method to relax the constraint is proposed. Second, the drawbacks of the analog adder needed before the quantizer are explained and a method to eliminate the adder is proposed. Index Terms—Analog-to-digital, delta–sigma(16), input-feedforward, oversampling.