Jitter的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列各種有用的問答集和懶人包

Modern Approaches to Augmentation of Brain Function

為了解決Jitter的問題，作者 這樣論述：

PREFACE (Ioan Opris, Mikhail Lebedev, Manuel F. Casanova)INTRODUCTION: What is the meaning of the augmented brain function? Jon H. KaasPart 1: Stimulating the brain1) Using electrical stimulation to explore and augment the functions of parietal-frontal cortical networks in primates (Jon H. Kaas a

nd Iwona Stepniewska)2) Multi-system benefits of epidural stimulation following spinal cord injury (Guest J. D. Chang S. Santamaria A. J., Opris I. and Noga B. R.) 3) Neurostimulator for hippocampal memory prosthesis (Sahar Elyahoodayan, Wenxuan Jiang, Huijing Xu and Dong Song4) Modern approaches to

augmenting the brain functions (Ioan Opris, Brian R. Noga Mikhail Lebedev and Manuel F. Casanova)Part II: Brain computer interfaces5) Brain machine interfaces within a critical perspective (Antonio G. Zippo and Gabriele E. M. Biella)6) An implantable wireless device for ECoG and cortical stimulatio

n (Pantaleo Romanelli)7) BCI Performance improvement by special low jitter quasi-steady State VEP paradigm (Ibrahim Kaya, Jorge Bohorquez and Özcan Özdamar)8) Communication with Brain-Computer Interfaces in Medical Decision-Making (Walter Glannon)Part III: Augmenting cognitive function.9) Neuroprote

ction and neurocognitive augmentation by photobiomodulation (F. Gonzalez-Lima)10) Avoiding partial sleep - the way for augmentation of brain function (Ivan N. Pigarev and Marina L. Pigareva)11) Augmentation of brain functions by nanotechnology (Ioan Opris, Nicholas Preza, Mikhail A. Lebedev, Brian N

oga, Stephano Chang, Manuel F. Casanova, Mircea Lupusoru, Victor M. Pulgar, Sakhrat Khizroev, Jorge Bohorquez and Aurel Popescu)12) The impact of ageing and age-related comorbidities on stroke outcome in animal models and humans (Aurel Popa-Wagner, Mircea Popescu-Driga and Daniela Glavan)13) Diagnos

tic markers of sub-clinical depression based on functional connectivity (Yunkai Zhu, Jorge Bohorquez and Ioan Opris)14) Transcranial magnetic stimulation in autism spectrum disorders: modulating brainwave abnormalities and behaviors (Manuel F. Casanova, Ioan Opris, Estate M. Sokhadze, Emily L. Casan

ova and Xiaoli Li)15. Neurofeedback training with concurrent psychophysiological monitoring in children with autism spectrum disorder with comorbid attention deficit/hyperactivity disorder Sokhadze E. M., Kelly D. P., and Casanova M. FPart IV: Futuristic approaches to augmentation16) Augmentation th

rough interconnection: brain-nets and telemedicine (Mikhail A. Lebedev, Igor A. Shaderkin, Ilia V. Ryabkov and Georgy S. Lebedev)17) Cognitive augmentation via a brain/cloud interface (Angelica A., Opris IPrenume Boehm18) Augmentation of neuro-marketing by neural technology (Qingguo Ma)19) Augmentat

ion of nutrition by nanotechnology (Cosmin Sonea, Mircea Lupusoru and Ioan Opris)20) Neural spintronics: noninvasive augmentation of brain functions (Stewart E. Barnes, Ioan Opris, Brian R. Noga, Sunxiang Huang, Fulin Zuo)Part V: Augmenting behavior21) Does the power to suppress an action make us fr

ee? (Giovanni Mirabella)22) Deep brain stimulation for Parkinson’s disease-future directions for enhancing motor function (Corneliu C. Luca, Joacir Graciolli Cordeiro, Iahn Cajigas and Jonathan Jagid)23) Neuromodulation for gait (S. Chang, Ioan Opris, J. D. Guest and Brian R. Noga24) Augmentation an

d rehabilitation with active orthotic

Jitter進入發燒排行的影片

具有5標記前饋式等化器之80 Gb/s不歸零傳送機於四十奈米CMOS製程

為了解決Jitter的問題，作者王崴弘 這樣論述：

本論文提出一個有5標記前饋式等化器的80Gb/s的傳送機，驅動器使用的是電流模式的架構，粗調及微調的機制在精細度及輸出頻寬中達到平衡。80-Gb/s的2:1多工器利用四分之一速率時脈取樣在資料轉態點的方式來降低時脈所需的功率消耗，相位內插器包含在時脈路徑中，用於調整前一級多工器的轉態點位置，從而最大限度的減少80Gb/s輸出資料的週期性抖動。 傳送機皆採用40奈米製程做設計及製造，此傳送機達到80-Gb/s的速度，功率消耗為650mW於1V/1.2V電源電壓下測試，再經過5標記前饋式等化器的粗調細調補償後，此傳送機在80-Gb/s的速度輸出眼開為50mV。

RF and Time-Domain Techniques for Evaluating Novel Semiconductor Transistors

為了解決Jitter的問題，作者Jenkins, Keith a. 這樣論述：

Keith A. Jenkins was a Research Staff Member at the IBM Thomas J. Watson Research Center from 1983 to 2018. In this position, he had the privilege of working with device development, technology evaluation, and circuit design, leading to research in a large variety of device and circuit subjects. The

se include high frequency measurement techniques, electron beam circuit testing, radiation-device interactions, low temperature electronics, SOI technology, substrate crosstalk in circuits, frequency response of nanoscale devices and studying the impact of self-heating in advanced CMOS technologies.

He also worked to design circuits for analog on-chip self-measurement, including jitter and phase error measurement, and on-product reliability monitoring. He designed several compact and efficient structures to measure device performance, uniformity and device reliability, in order to replace the

discrete transistor structures usually used for these studies. In pursuing these research goals, he developed many new measurement techniques, some of which are covered in this book. He received several technical awards from IBM, and several best paper awards from conferences and journals.He receive

d a PhD in physics from Columbia University for experimental work in high energy physics, and before joining IBM, he worked in high energy physics at The Rockefeller University. He was an adjunct professor of physics at Hunter College and Manhattan College. Dr. Jenkins is now engaged as a consultant

on the subject of semiconductor device and circuit measurements.

具有五階前饋式等化器之四階振幅脈衝八位元數位類比轉換器之112-Gb/s傳送機於四十奈米CMOS製程

為了解決Jitter的問題，作者林江瑋 這樣論述：

本論文提出之112-Gb/s 四階脈衝振幅調變傳送機，整體架構採用數位轉類比式設計，其優點透過調整數位電路的運算，能靈活地更改訊號的調變模式(本論文設計包含不歸零模式及四階脈衝振幅調變模式)，且能設計出任意數量標記的補償功能，而此次論文之前饋式等化器設計為五個標記，來確保輸出端之補償性。傳送機詳細電路設計分為數位及類比兩部分，數位部分包含偽隨機二進位數列產生器及五標記有限脈衝響應產生器，類比部分包含64:8多工器、8:4多工器、單端轉差動轉換器、4:1多工器、電流模態驅動器、相位內插器、工作週期校正器、四相位除頻器。而本次提出之4:1多工器，有幾個特點，第一，在差動對源極端加入一顆P型電晶體

，以加速差動對電晶體關閉速度來提升頻寬，第二，使用了25%工作週期的脈衝來取樣資料的轉態點，以此降低時脈路徑上的功率消耗。傳送機採用40-nm技術製造，晶片量測時使用晶片直接封裝(Chip On Board, COB)的方式進行量測，晶片面積為0.7482 mm^2，112-Gb/s 四階脈衝振幅調變傳送機各功能皆正常運作，速度操作在最高速112-Gb/s時功耗為268-mW，電源效率為2.39 pJ/bit，而改為不歸零模式時56Gb/s時功耗為247-mW。