【摘 要】
：
This paper reports a successive approx-imation register(SAR)analog-to-digital converters(ADCs)with the 2nd-order and optimized noise shaping(NS)scheme.Based on the feed-forward structure,both noise transfer function(NTF)zero and pole optimization have bee
【机 构】
：
School of Microelectronics,Xidian University,Xi’an 710071,China
论文部分内容阅读
This paper reports a successive approx-imation register(SAR)analog-to-digital converters(ADCs)with the 2nd-order and optimized noise shaping(NS)scheme.Based on the feed-forward structure,both noise transfer function(NTF)zero and pole optimization have been achieved simultaneously utilizing a cascaded IIR-FIR(infinite impulse response and finite impulse re-sponse)filter.The analysis shows that the proposed struc-ture provides a better NS efficiency than prior arts.The efficiency of the proposed NS scheme and the ADC per-formance are verified by simulation achieving a 14.2 ef-fective number of bits with an 8-bit SAR ADC architec-ture at an over sampling rate of 8 sampled at 100 MS/s.Taking advantage of the NTF zero-pole optimization,a low resolution SAR ADC is allowed under the same quantization noise budget in this structure.
其他文献
This paper presents a low power con-sumption and low cost electrically erasable program-mable read-only memory(EEPROM)for radio frequency identification(RFID)tag chip.A read-write circuit with parallel input and serial output is proposed.Only one sensitiv
GIFT is a lightweight block cipher with an substitution-permutation-network(SPN)structure proposed in CHES 2017.It has two different versions whose block sizes are 64 and 128 respectively.In RSA 2019,Zhu et al.found some differential characteristics of GI
第五代移动通信技术(5G)已正式投入商用,卫星网络与地面移动通信系统的融合是其中一个重要研究方向.针对5G体制在低轨(Low Earth Orbiting,LEO)卫星场景中应用的适应性问题,总结了不同研究机构、标准化组织以及学术界的研究进展,分析了由于卫星互联网特点带来的5G空口影响与挑战,给出了低轨卫星互联网5G空口的时频同步、随机接入以及小区切换现有解决方案.相关内容可为低轨卫星互联网与5G的融合研究提供参考.
In this paper,a novel maximum corren-tropy high-order extended Kalman filter(H-MCEKF)is proposed for a class of nonlinear non-Gaussian systems presented by polynomial form.All high-order polynomial terms in the state model are defined as implicit variable
The conventional convolutional neural network performs not well enough in the ground objects classification because of its insufficient ability in maintain-ing sensitive spectral information and characterizing the covariance of spatial structure,resulting
In this paper,a hybrid deep learning network-based model is proposed and implemented for maneuver decision-making in an air combat environment.The model consists of stacked sparse auto-encoder net-work for dimensionality reduction of high-dimensional,dyna
Unsupervised person re-identification(Re-ID)aims to improve the model\'s scalability and ob-tain better Re-ID results in the unlabeled data domain.In this paper,we propose an unsupervised person Re-ID method based on multi-granularity feature representa
A new classification model,the fuzzy hy-brid twin support vector machine(TWSVM),namely FHTWSVM,is proposed by combining the fuzzy TWS-VM and the hypersphere support vector machine(SVM).The hypersphere SVM is utilized for generating the hy-perspheres for t
2月16日,据世界经济论坛网站发布的WEF智能工业指数认证白皮书《制造业转型洞察报告》显示,海尔洗衣机旗下中德滚筒互联工厂和海尔合肥洗衣机互联工厂入选该报告,成为全球洗衣机行业唯一入选的优秀案例代表,再次证明了海尔洗衣机的智能制造实力.
Speech emotion recognition(SER)is the use of speech signals to estimate the state of emotion.At present,machine learning is one of the main research methods of SER,the test and training dataS of tradition-al machine learning all have the same distribution