An algorithm for clock scheduling of concurrent-flow clocking rapid single-flux-quantum (RSFQ) digital circuits is proposed. RSFQ circuit technology is an emerging technology of digital circuits. In concurrent-flow clocking RSFQ digital circuits, all logic gates are driven by clock pulses. Appropriate clock scheduling makes clock frequency of the circuits higher. Given a clock period, the proposed algorithm determines the arrival time of clock pulses and the delay that should be inserted. Experimental results show that inserted delay elements by the proposed algorithm are 59.0% fewer and the height of clock trees are 40.4% shorter on average than those by a straightforward algorithm. The proposed algorithm can also be used to minimize the clock period, thus obtaining 19.0% shorter clock periods on average.

This paper proposes a 12-bit 3.7-MS/s pipelined A/D Converter based on the novel capacitor mismatch calibration technique. The conventional stage is improved to an algorithmic circuit involving charge summing, capacitors' exchange and charge redistribution, simply through introducing some extra switches into the analog circuit. This proposed ADC obtains the linearity beyond the accuracy of the capacitor match and verifies the validity of reducing the nonlinear error from the capacitor mismatch to the second order without additional power dissipation through the novel capacitor mismatch calibration technique. It is processed in 0.5 µm CMOS technology. The transistor-level simulation results show that 72.6 dB SNDR, 78.5 dB SFDR are obtained for a 2 V Vpp 159.144 kHz sine input sampled at 3.7 MS/s. The whole power dissipation of this ADC is 33.4 mW at the power supply of 5 V.

For wireless receivers, low-power 1.2-V 12-bit 100-MSPS pipeline ADCs are fabricated in 90-nm CMOS technology. To achieve low-power dissipation at 1.2 V without the degradation of SNR, the configuration of 2.5 bit/stage is employed with an I/Q amplifier sharing technique. Furthermore, single-stage pseudo-differential amplifiers are used in a Sample-and-Hold (S/H) circuit and a 1st Multiplying Digital-to-Analog Converter (MDAC). The pseudo-differential amplifier with two-gain-stage transimpedance gain-boosting amplifiers realizes high DC gain of more than 90 dB with low power. The measured SNR of the 100-MSPS ADC is 66.7 dB at 1.2-V supply. Under that condition, each ADC dissipates only 55 mW.

This paper reviews techniques for digitally assisted pipeline ADCs. Errors of pipeline ADCs originated by capacitor mismatch, finite amplifier gain, incomplete settling and offset can be corrected in digital-domain foreground or background calibrations. In foreground calibrations, the errors are measured by reconfiguration of the building blocks of pipeline ADC or using an INL plot without reconfiguration. In background calibrations, the errors are measured with random signal and continuously corrected while simultaneously performing the normal A/D conversions. Techniques for measuring and correcting the errors at foreground and background are reviewed and a unified approach to the description of the principle of background calibration of gain errors is presented.

Recently, a method called pipeline stage unification (PSU) has been proposed to reduce energy consumption for mobile processors via inactivating and bypassing some of the pipeline registers and thus adopt shallow pipelines. It is designed to be an energy efficient method especially for the processors under future process technologies. In this paper, we present a mechanism for the PSU controller which can dynamically predict a suitable configuration based on the program phase detection. Our results show that the designed predictor can achieve a PSU degree prediction accuracy of 84.0%, averaged from the SPEC CPU2000 integer benchmarks. With this dynamic control mechanism, we can obtain 11.4% Energy-Delay-Product (EDP) reduction in the processor that adopts a PSU pipeline, compared to the baseline processor, even after the application of complex clock gating.

This paper proposes a performance model for design of pipelined analog-to-digital converters (ADCs). This model includes the effect of overdrive voltage on the transistor, slewing of the operational amplifier, multi-bit structure of multiplying digital to analog converter (MDAC) and technology scaling. The conversion frequency of ADC is improved by choosing the optimum overdrive voltage of the transistor, an important consideration at smaller design rules. Moreover, multi-bit MDACs are faster than the single-bit MDACs when slewing occurs during the step response. The performance model of pipelined ADC shown in this paper is attractive for the optimization of the ADC's performances.

This paper proposes useful circuit structures for achieving a low-voltage/low-power pipelined ADC based on switched-opamp architecture. First, a novel unity-feedback-factor sample-and-hold which manipulates the features of switched-opamp technique is presented. Second, opamp-sharing is merged into switched-opamp structure with a proposed dual-output opamp configuration. A 0.8-V, 9-bit, 10-Msample/s pipelined ADC is designed to verify the proposed circuit. Simulation results using a 0.18-µm CMOS 1P6M process demonstrate the figure-of-merit of this pipelined ADC is only 0.71 pJ/step.

This paper describes 10-bit, 80-MSample/s pipelined A/D converters for wireless-communication terminals. To reduce power consumption, we employed the I/Q amplifier sharing technique [1] in which an amplifier is used for both I and Q channels. In addition, common-source, pseudo-differential (PD) amplifiers are used in all the conversion stages for further power reduction. Common-mode disturbances are removed by the proposed common-mode feedforward (CMFF) technique without using fully differential (FD) amplifiers. The converter was implemented in a 90-nm CMOS technology, and it consumes only 24 mW/ch from a 1.2-V power supply. The measured SNR and SNDR are 58.6 dB and 52.2 dB, respectively.

A new algorithm is proposed to reduce the area of a pipelined circuit using a combination of multi-clock cycle paths, clock scheduling and delay balancing. The algorithm analyzes the circuit and replaces intermediate registers with delay elements under the condition that the circuit works correctly at given target clock-period range with the smaller area. Experiments with pipelined multipliers verify that the proposed algorithm can reduce the area of a pipelined circuit without degrading performance.

In this paper, we present a new fast Fourier transform (FFT) algorithm to reduce the table size of twiddle factors required in pipelined FFT processing. The table size is large enough to occupy significant area and power consumption in long-point FFT processing. The proposed algorithm can reduce the table size to half, compared to the radix-22 algorithm, while retaining the simple structure. To verify the proposed algorithm, a 2048-point pipelined FFT processor is designed using a 0.18 µm CMOS process. By combining the proposed algorithm and the radix-22 algorithm, the table size is reduced to 34% and 51% compared to the radix-2 and radix-22 algorithms, respectively. The FFT processor occupies 1.28 mm2 and achieves a signal-to-quantization-noise ratio (SQNR) of more than 50 dB.

This paper proposes a very simple method of eliminating the gain and offset errors caused by mismatches of elements, such as capacitors, for a high-speed CMOS pipelined ADC with a 1.5-bit architecture. The gain and offset errors in a bit-block due to capacitor mismatch are analog-to-digital (A-D) converted without correcting errors, but by exchanging capacitors at every clock. The obtained results are digital codes at the output of the ADC, and they contain positive and negative errors in turn. The two consecutive codes are then added in digital form, thus canceling the errors. This results in the two-fold oversampling operation. As the distortion component arises when the input signal frequency increases, a front-end SHA is used to completely eliminate distortion up to the Nyquist frequency. The behavioral simulation of a 14-bit ADC reveals that this CMOS pipelined ADC with a 1.5-bit bit-block architecture, even without a front-end SHA, has more than 70 dB of spurious-free dynamic range (SFDR) for up to an 8 MHz input signal when each of the upper three bit-blocks has gain and offset errors of +0.8% when the clock frequency is 102.4 MHz. Using an SHA in front further improves the SFDR to 95 dB up to the signal frequency bandwidth of 25.6 MHz.

A 128128 pixel functional image sensor was implemented. The sensor was able to capture images at 1,000 frame/s and extract the sizes and positions of 10 objects/frame when clocked at 8 MHz. The size of each pixel was 18 µm18 µm and the fill factor was 28%. The chip, 3.24 mm3.48 mm in size, was implemented with a 0.35 µm CMOS sensor process; the power consumption was 29.7 mW at 8 MHz.

In this paper, we discuss the effects of switch resistances on the step response of switched-capacitor (SC) circuits, especially multiplying digital-to-analog converters (MDACs) in pipelined analog-to-digital converters. Theory and simulation results reveal that the settling time of MDACs can be decreased by optimizing the switch resistances. This switch resistance optimization does not only effectively increase the speed of single-bit MDACs, but also of multi-bit MDACs. Moreover, multi-bit MDACs are faster than the single-bit MDACs when slewing occurs during the step response. With such an optimization, the response of the switch will be improved by up to 50%.

This paper presents a novel optimized real-time Huffman encoder using a pipelined data path based on CAM technology and a parallel code-word-table optimizer. The exploitation of CAM technology enables fast parallel search of the code word table. At the same time, the code word table is optimized according to the frequency of received input symbols and is up-dated in real-time. Since these two functions work in parallel, the proposed architecture realizes fast parallel encoding and keeps a constantly high compression ratio. Evaluation results for the JPEG application show that the proposed architecture can achieve up to 28% smaller encoded picture sizes than the conventional architectures. The obtained encoding time can be reduced by 95% in comparison to a conventional SRAM-based architecture, which is suitable even for the latest end-user-devices requiring fast frame-rates. Furthermore, the proposed architecture provides the only encoder that can simultaneously realize small compressed data size and fast processing speed.

We propose an elastic pipeline that can apply dynamic voltage scaling (DVS) to hardwired logic circuits. In order to demonstrate its feasibility, a hardwired H.264/AVC HDTV decoder is designed as a real-time application. An entropy decoding process is divided into context-based adaptive binary arithmetic coding (CABAC) and syntax element decoding (SED), which has advantages of smoothing workload for CABAC and keeping efficiency of the elastic pipeline. An operating frequency and supply voltage are dynamically modulated every slot depending on workload of H.264 decoding to minimize power. We optimize the number of slots per frame to enhance power reduction. The proposed decoder achieves a power reduction of 50% in a 90-nm process technology, compared to the conventional clock-gating scheme.

A new algorithm is proposed to reduce the number of intermediate registers of a pipelined circuit using a combination of multi-clock cycle paths and clock scheduling. The algorithm analyzes the pipelined circuit and determines the intermediate registers that can be removed. An efficient subsidiary algorithm is presented that computes the minimum feasible clock period of a circuit containing multi-clock cycle paths. Experiments with a pipelined adder and multiplier verify that the proposed algorithm can reduce the number of intermediate registers without degrading performance, even when delay variations exist.

Most digital signal processing (DSP) algorithms for multimedia and communication applications require multiplication and addition operations. Especially matrix-matrix or matrix-vector the multiplications frequently used in DSP implementations needs inner product arithmetic which takes the most processing time. Also multiplications for the DSP algorithms for software defined radio (SDR) applications require different input bitwidths. Therefore, the multiplications for inner product need to be sufficiently flexible in terms of bitwidths to utilize hardware resources efficiently. This paper proposes a novel reconfigurable inner product architecture based on a pipelined adder array, which offers increased flexibility in bitwidths of input arrays. The proposed architecture consists of sixteen 44 multipliers and a pipelined adder array and can compute the inner product of input arrays with any combination of multiples of 4 bitwidths such as 44, 48, 412, ... 1616. Experimental results show that the proposed architecture has latency of maximum 9 clock cycles and throughput of 1 clock cycle for inner product of various bitwidths of input arrays. When TSMC 0.18 µm libraries are used, the chip area and critical path of the proposed architecture are 186,411 gates and 2.79 ns, respectively. The proposed architecture can be applied to a reconfigurable arithmetic engine for real-time SDR system designs.

This paper proposes a 15-bit 10-MS/s pipelined ADC based on the incomplete settling principle. The traditional complete settling stage is improved to the incomplete settling structure through dividing the sampling clock of the traditional stage into two parts for discharging the sampling and feedback capacitors and completing the sampling, respectively. The proposed ADC verifies the correction and validity of optimizing ADCs' conversion speed without additional power consumption through the incomplete settling. This ADC employs scaling-down scheme to achieve low power dissipation and utilizes full-differential structure, bottom-plate-sampling, and capacitor-sharing techniques as well as bit-by-bit digital self-calibration to increase the ADC's linearity. It is processed in 0.18 µm 1P6M CMOS mixed-mode technology. Simulation results show that 82 dB SNDR and 87 dB SFDR are obtained at the sampling rate of 10 MHz with the input sine frequency of 100 kHz and the whole static power dissipation is 21.94 mW.

From the viewpoint of a low-power pipeline ADC design, a comparison between two conventional power reduction techniques is discussed. The comparison shows that the amplifier sharing technique has an advantage in terms of the power reduction effect. To confirm the advantage, a test chip of 10-bit 80-MSPS ADC using the amplifier sharing technique is fabricated. The test chip dissipates 55 mW at 80 MSPS (Mega Sample Per Second).

A reduced-sample-rate (RSR) sigma-delta-pipeline (SDP) analog-to-digital converter architecture suitable for high-resolution and high-speed applications with low oversampling ratios (OSR) is presented. The proposed architecture employs a class of high-order noise transfer function (NTF) with a novel pole-zero locations. A design methodology is developed to reach the optimum NTF. The optimum NTF determines the location of the non-zero poles improving the stability of the loop and implementing the reduced-sample-rate structure, simultaneously. Unity gain signal transfer function to mitigate the analog circuit imperfections, simplified analog implementation with reduced number of operational transconductance amplifiers (OTAs), and novel, aggressive yet stable NTF with high out of band gain to achieve larger peak signal-to-noise ratio (SNR) are the main features of the proposed NTF and ADC architecture. To verify the usefulness of the proposed architecture, NTF, and design methodology, two different cases are investigated. Simulation results show that with a 4th-order modulator, designed making use of the proposed approach, the maximum SNDR of 115 dB and 124.1 dB can be achieved with only OSR of 8, and 16 respectively.