Browsing by Author "Li, Peng"
Now showing items 1-20 of 177
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Jeon, Hyung-Joon (2010-10-12)As demand for higher bandwidth I/O grows, the front end design of serial link becomes significant to overcome stringent timing requirements on noisy and bandwidthlimited channels. As a clock reconstructing module in a ...
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Zhuang, Wei (Texas A&M University, 2007-09-17)A three dimensional (3-D) capacitance extraction algorithm based on a kernel independent hierarchical method and geometric moments is described. Several techniques are incorporated, which leads to a better overall performance ...
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Ankamah-Kusi, Sylvester (2016-12-06)This thesis focuses on designing a low power Pipeline Analog to Digital Converter (ADC) for use in a Cognitive radio network. The Pipeline ADC architecture is one of the most suitable ADC architectures for applications ...
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Park, Chulhyun (2019-11-05)Analog-to-Digital converters (ADCs) are the basic and mandatory building block to link analog to digital world. An amplifier too is key building block for all analog circuit designs. Therefore, this dissertation investigates ...
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Wang, Yu (2019-11-26)In recent years, the emerging of new machine learning algorithms and the fast development of available hardware allow people to perform complex recognition and generation tasks of images, natural languages and speaking ...
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Liao, Huiling (2022-07-28)Bayesian optimization (BO), a sequential design strategy for global optimization problem, has gained popularity during last decades for its capability of handling computationally expensive derivative-free objective functions ...
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Wang, Bo (2017-12-01)In the past decade, much progress has been made in image denoising due to the use of low-rank representation and sparse coding, the performance of image denoising has been boosted drastically by nonlocal algorithms and ...
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Wang, Jiafan (2017-08-03)The past few decades witness the burgeoning development of integrated circuit in terms of process technology scaling. Along with the tremendous benefits coming from the scaling, challenges are also presented in various ...
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Dai, Weiran (2016-08-29)In recent years, the acoustic noise emitted by electric motors has become an important topic. Many manufactures of adjustable speed drive (ASD) make effort to reduce the acoustic noise from electric motors. And low acoustic ...
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Narayana, Sushirdeep (2017-05-08)Affect is the psychological display of emotion often described with three principal dimensions: 1) valence 2) arousal and 3) dominance. This thesis work explores the ability of computers to recognize human emotions using ...
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Xu, Jingwei (2016-04-28)With its low error-floor performance, polar codes attract significant attention as the potential standard error correction code (ECC) for future communication and data storage. However, the VLSI implementation complexity ...
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Lin, Honghuang (2016-06-28)Over the past few decades, the tremendous growth in the complexity of analog and mixed-signal (AMS) systems has posed great challenges to AMS verification, resulting in a rapidly growing verification gap. Existing formal ...
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Qian, Haoyu (2017-05-04)The continuous advancement of semiconductor technologies, especially CMOS technology, has enabled exponential growth of the wireless communication industry. This explosive growth in turn has completely changed people’s ...
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Garg, Rajesh (2010-07-14)The reliable operation of Integrated Circuits (ICs) has become increasingly difficult to achieve in the deep sub-micron (DSM) era. With continuously decreasing device feature sizes, combined with lower supply voltages and ...
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Bekal, Prasanna (2012-07-16)In order to correctly perform circuit simulation, it is crucial that parasitic capacitances near devices are accurately extracted and are consistent with the SPICE models. Although 3D device simulation can be used to extract ...
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Boyapati, Rahul (2017-05-09)With advances in technology, future multicore systems scaled to 100s and 1000s of cores/accelerators are being touted as an effective solution for extracting huge performance gains using parallel programming paradigms. ...
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Wang, Qian (2016-08-02)Quintillions of bytes of data are generated every day in this era of big data. Machine learning techniques are utilized to perform predictive analysis on these data, to reveal hidden relationships and dependencies and ...
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Jin, Yingyezhe (2018-07-12)The spiking neural network (SNN), an emerging brain-inspired computing paradigm, is positioned to enable spatio-temporal information processing and ultra-low power event-driven neuromorphic hardware. The existing SNN ...
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Rasheed, Farah (2013-09-04)Artificial Neural Networks (ANNs) are a massively parallel network of a large number of interconnected neurons similar to the structure of biological neurons in the human brain. ANNs find applications in a large number of ...
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Lim, Sungjun (2015-12-12)3D reconstruction of the neurovascular networks in the brain is a first step toward the analysis of their function. However, existing three dimensional imaging techniques have not been able to image tissues on a large scale ...