Relevant bibliographies by topics / Jitter

Academic literature on the topic 'Jitter'

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Published: 4 June 2021
Last updated: 7 July 2024

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Journal articles on the topic "Jitter"

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Manzoor, Kamran, Umar Manzoor, and Samia Nefti. "An Efficient System for Video Stabilization by Differentiating between Intentional and Un-Intentional Jitters." International Journal of Knowledge Society Research 1, no. 4 (October 2010): 42–53. http://dx.doi.org/10.4018/jksr.2010100104.

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Video stabilization is one of the most important enhancements where jittering caused by un-intentional movements is removed. Existing video stabilizer software and tools cannot differentiate between intentional and un-intentional jitters in the video and treats both equally. In this paper, the authors propose an efficient and practical approach of video stabilization by differentiating between an intentional and un-intentional jitter. Their method takes jittered video as input, and differentiates between intentional and an un-intentional jitter without affecting its visual quality while producing stabilized video only if jitter is found to be un-intentional. While most previous methods produce stabilized videos with low resolution, this reduces quality. The proposed system has been evaluated on a large number of real life videos and results promise to support the implementation of the solution.
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Rao, Fangyi, and Sanjeev Gupta. "Accurate and Efficient BER Calculation by Statistical Simulation Based on Physical Transmit Jitter Model." International Symposium on Microelectronics 2010, no. 1 (January 1, 2010): 000593–600. http://dx.doi.org/10.4071/isom-2010-wp2-paper6.

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Statistical analysis provides an efficient alternative to the traditional Monte Carlo simulation for extremely low BER calculation in high speed serial link designs. Transmitter (TX) jitter posts a huge challenge in statistical simulation due to its pattern- and time-dependent nature and the resulting computational complexity. This paper presents a fast yet rigorous approach to calculate TX jitter in statistical simulation based on physical models of various jitter components. The approach accurately captures effects of uncorrelated random jitters, jitter amplification by channel dispersion, frequency dependency of periodic jitter and data duty-cycle-distortion.
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Zou, Hai Dong, and Liang Qian. "Research on PTP Clock Synchronization in IP." Advanced Materials Research 1079-1080 (December 2014): 762–65. http://dx.doi.org/10.4028/www.scientific.net/amr.1079-1080.762.

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A certain delay jitter will impact the time synchronization accuracy of PTP system in the IP packet switched network. Look the network delay jitters as independently distributed random noise, and use the Least Mean Square (LMS) filter to filter out the noise, that will help to relieve the delay jitter on the system synchronization accuracy. The simulation results show that, by using the LMS algorithm, the research can increase the synchronization accuracy and decrease the bad impact on master and slave time synchronization of packet delay jitter.
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Hancock, Kenneth E., Yoojin Chung, and Bertrand Delgutte. "Neural ITD coding with bilateral cochlear implants: effect of binaurally coherent jitter." Journal of Neurophysiology 108, no. 3 (August 1, 2012): 714–28. http://dx.doi.org/10.1152/jn.00269.2012.

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Poor sensitivity to the interaural time difference (ITD) constrains the ability of human bilateral cochlear implant users to listen in everyday noisy acoustic environments. ITD sensitivity to periodic pulse trains degrades sharply with increasing pulse rate but can be restored at high pulse rates by jittering the interpulse intervals in a binaurally coherent manner (Laback and Majdak. Binaural jitter improves interaural time-difference sensitivity of cochlear implantees at high pulse rates. Proc Natl Acad Sci USA 105: 814–817, 2008). We investigated the neural basis of the jitter effect by recording from single inferior colliculus (IC) neurons in bilaterally implanted, anesthetized cats. Neural responses to trains of biphasic pulses were measured as a function of pulse rate, jitter, and ITD. An effect of jitter on neural responses was most prominent for pulse rates above 300 pulses/s. High-rate periodic trains evoked only an onset response in most IC neurons, but introducing jitter increased ongoing firing rates in about half of these neurons. Neurons that had sustained responses to jittered high-rate pulse trains showed ITD tuning comparable with that produced by low-rate periodic pulse trains. Thus, jitter appears to improve neural ITD sensitivity by restoring sustained firing in many IC neurons. The effect of jitter on IC responses is qualitatively consistent with human psychophysics. Action potentials tended to occur reproducibly at sparse, preferred times across repeated presentations of high-rate jittered pulse trains. Spike triggered averaging of responses to jittered pulse trains revealed that firing was triggered by very short interpulse intervals. This suggests it may be possible to restore ITD sensitivity to periodic carriers by simply inserting short interpulse intervals at select times.
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Finneran, James, Jason Mulsow, and Dorian Houser. "Studying dolphin biosonar with the jittered-echo paradigm." Journal of the Acoustical Society of America 153, no. 3_supplement (March 1, 2023): A95. http://dx.doi.org/10.1121/10.0018283.

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In his 1979 paper “Perception of echo phase information in bat sonar” [Science 204, 1336–1338], Jim Simmons introduced the “jittered-echo” paradigm. In this method, bats discriminated between electronic echoes with fixed delay (i.e., simulating fixed range) and those with delays that alternated (“jittered”) on successive echoes. The jittered-echo paradigm was developed to minimize the interfering effects of head movement, under the assumption that head movement between successive pulse emissions is negligible. Echo delay thresholds obtained with the jitter technique are small, with multiple studies reporting sub-microsecond echo delay thresholds in the big brown bat. The jitter method has also been controversial, because of the extremely low echo delay resolution (10 ns) and sensitivity to echo phase (fine structure) reported by Simmons. Recently, the jitter delay paradigm has been adapted for underwater use with dolphins. Results with dolphins show qualitative similarities to those from bats: echo delay thresholds below 1 μs and sensitivity to echo fine structure. This talk will briefly review Simmons’ and other’s biosonar jitter experiments with bats, then present in detail experiments with bottlenose dolphins featuring jittered echo delay and phase.
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Kwon, Seong-Cheol, Mun-Shin Jo, and Hyun-Ung Oh. "Experimental Validation of Fly-Wheel Passive Launch and On-Orbit Vibration Isolation System by Using a Superelastic SMA Mesh Washer Isolator." International Journal of Aerospace Engineering 2017 (2017): 1–16. http://dx.doi.org/10.1155/2017/5496053.

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On-board appendages with mechanical moving parts for satellites produce undesirable micro-jitters during their on-orbit operation. These micro-jitters may seriously affect the image quality from high-resolution observation satellites. A new application form of a passive vibration isolation system was proposed and investigated using a pseudoelastic SMA mesh washer. This system guarantees vibration isolation performance in a launch environment while effectively isolating the micro-disturbances from the on-orbit operation of jitter source. The main feature of the isolator proposed in this study is the use of a ring-type mesh washer as the main axis to support the micro-jitter source. This feature contrasts with conventional applications of the mesh washers where vibration damping is effective only in the thickness direction of the mesh washer. In this study, the basic characteristics of the SMA mesh washer isolator in each axis were measured in static tests. The effectiveness of the design for the new application form of the SMA mesh washer proposed in this study was demonstrated through both launch environment vibration test at qualification level and micro-jitter measurement test which corresponds to on-orbit condition.
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Krom, Guus de. "A Cepstrum-Based Technique for Determining a Harmonics-to-Noise Ratio in Speech Signals." Journal of Speech, Language, and Hearing Research 36, no. 2 (April 1993): 254–66. http://dx.doi.org/10.1044/jshr.3602.254.

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A new method to calculate a spectral harmonics-to-noise ratio (HNR) in speech signals is presented. The method involves discrimination between harmonic and noise energy in the magnitude spectrum by means of a comb-liftering operation in the cepstrum domain. Sensitivity of HNR to (a) additive noise and (b) jitter was tested with synthetic vowel-like signals, generated at 10 fundamental frequencies. All jitter and noise signals were analyzed at three window lengths in order to investigate the effect of the length of the analysis frame on the estimated HNR values. Results of a multiple linear regression analysis with noise or jitter, F 0 , and window length as predictors for HNR indicate a major effect of both noise and jitter on HNR, in that HNR decreases almost linearly with increasing noise levels or increasing jitter. The influence of F 0 and window length on HNR is small for the jittered signals, but HNR increases considerably with increasing F 0 or window length for the noise signals. We conclude that the method seems to be a valid technique for determining the amount of spectral noise, because it is almost linearly sensitive to both noise and jitter for a large part of the noise or jitter continuum. The strong negative relation between HNR and jitter illustrates that spectral noise measures cannot simply be taken as indicators of the actual amount of noise in the time signal. Instead, HNR integrates several aspects of the acoustic stability of the signal. As such, HNR may be a useful parameter in the analysis of voice quality, although it cannot be directly interpreted in terms of underlying glottal events or perceptual characteristics.
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Chin, J., and A. Cantoni. "Phase jitter/spl equiv/timing jitter?" IEEE Communications Letters 2, no. 2 (February 1998): 54–56. http://dx.doi.org/10.1109/4234.660802.

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Campbell, Jackie, and Massimo Leandri. "Measuring Latency Variations in Evoked Potential Components Using a Simple Autocorrelation Technique." Computational and Mathematical Methods in Medicine 2021 (September 22, 2021): 1–8. http://dx.doi.org/10.1155/2021/8875445.

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Interpretation of averaged evoked potentials is difficult when the time relationship between stimulus and response is not constant. Later components are more prone to latency jitter, making them insufficiently reliable for routine clinical use even though they could contribute to greater understanding of the functioning of polysynaptic components of the afferent nervous system. This study is aimed at providing a simple but effective method of identifying and quantifying latency jitter in averaged evoked potentials. Autocorrelation techniques were applied within defined time windows on simulated jittered signals embedded within the noise component of recorded evoked potentials and on real examples of somatosensory evoked potentials. We demonstrated that the technique accurately identifies the distribution and maximum levels of jitter of the simulated components and clearly identifies the jitter properties of real evoked potential recording components. This method is designed to complement the conventional analytical methods used in neurophysiological practice to provide valuable additional information about the distribution of latency jitter within an averaged evoked potential. It will be useful for the assessment of the reliability of averaged components and will aid the interpretation of longer-latency, polysynaptic components such as those found in nociceptive evoked potentials.
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Ukachoke, C., P. Ashby, A. Basinsk, and J. A. Sharpe. "Usefulness of Single Fiber EMG for Distinguishing Neuromuscular from Other Causes of Ocular Muscle Weakness." Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques 21, no. 2 (May 1994): 125–28. http://dx.doi.org/10.1017/s0317167100049040.

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Abstract:Consecutive patients (n = 114), who had single fiber electromyography of the frontalis muscles for symptoms suggestive of ocular myasthenia gravis, were followed up for a mean of 14 months (3-64 mos). At follow up, based on strict criteria, 23 patients were classified as having ocular myasthenia gravis, 8 patients were diagnosed as having mitochondrial myopathy or oculopharyngeal dystrophy, 18 patients were found to have other diseases and 65 patients remained without a definite diagnosis. The single fiber electromyography data of these patients were then reviewed. The patients with ocular myasthenia gravis had, on average, more than 7/20 single fiber pairs with jitter > 45 μs and mean jitter of 56 μs. The 8 patients with mitochondrial myopathy or oculopharyngeal dystrophy had an average of 5/20 single fiber pairs with jitter > 45 μs and a mean jittter of 52 μs and could not be separated from the group with ocular myasthenia gravis on the basis of the single fiber electromyography results. The 18 patients with definite other diagnosis had an average of less than 1/20 single fiber pair with jitter > 45 μs and a mean jitter of 25 μs. This group could be clearly separated from the group with ocular yasthenia gravis. We conclude that single fiber electromyelography is useful in the separation of ocular myasthenia gravis from other causes of oculomotor weakness except mitochondrial myopathy and oculopharyngeal dystrophy.
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Dissertations / Theses on the topic "Jitter"

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Wang, Xin. "Automatically Measuring Neuromuscular Jitter." Thesis, University of Waterloo, 2005. http://hdl.handle.net/10012/956.

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The analysis of electromyographic (EMG) signals detected during muscle contraction provides important information to aid in the diagnosis and characterization of neuromuscular disorders. One important analysis measures neuromuscular jitter, which is the variability of the time intervals between two muscle fibre potentials (MFPs) belonging to the same motor unit over a set of discharges. Conventionally, neuromuscular jitter is measured using single fibre (SF) EMG techniques, which can identify individual MFPs by using a SF needle electrode. However, SF electrodes are expensive, very sensitive to needle movement and not easy to operate in practise.

A method is studied in this thesis for automatically measuring neuromuscular jitter in motor unit potentials (MUP), it measures jitter using routine EMG techniques, which detect MUPs using a concentric needle (CN) electrode. The method is based on the detection of near MFP contributions, which correspond to individual muscle fibre contributions to MUPs, and the identification of individual MFP pairs. The method was evaluated using simulated EMG data. After an EMG signal is decomposed into MUP trains, a second-order differentiator, McGill filter, is applied to detect near MFP contributions to MUPs. Then, using nearest neighbour clustering and minimum spanning tree algorithms, the sets of available filtered MUPs can be selected and individual MFPs can be identified according to the features of their shapes. Finally, individual MFP pairs are selected and neuromuscular jitter is measured.

Using the McGill filter, near MFP contributions to detected CN MUPs can be consistently detected across an ensemble of successive firings of a motor unit. The method is an extension of the work Sheng Ma, compared to previous works, more efficient algorithms are used which have demonstrated acceptable performance, and which can consistently measure neuromuscular jitter in a variety of EMG signals.
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Price, Michael Ph D. (Michael R. ). Massachusetts Institute of Technology. "Asynchronous data-dependent jitter compensation." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/52771.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Includes bibliographical references (p. 95-96).
Data-dependent jitter (DDJ) caused by lossy channels is a limiting factor in the bit rates that can be achieved reliably over serial links. This thesis explains the causes of DDJ and existing equalization techniques, then develops an asynchronous (clock-agnostic) architecture for DDJ compensation. The compensation circuit alters the transition times of a digital signal to cancel the expected channel-induced delays. It is designed for a 0.35 [mu]m BiCMOS process with a 240 x 140 ¹m footprint and typically consumes 3.4 mA, a small fraction of the current used in a typical transmitter. Extensive simulations demonstrate that the circuit has the potential to reduce channel-induced DDJ by at least 50% at bit rates of 6.25 Gb/s and 10 Gb/s.
by Michael Price.
M.Eng.
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Martwick, Andrew Wayne. "Clock Jitter in Communication Systems." PDXScholar, 2018. https://pdxscholar.library.pdx.edu/open_access_etds/4375.

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For reliable digital communication between devices, the sources that contribute to data sampling errors must be properly modeled and understood. Clock jitter is one such error source occurring during data transfer between integrated circuits. Clock jitter is a noise source in a communication link similar to electrical noise, but is a time domain noise variable affecting many different parts of the sampling process. Presented in this dissertation, the clock jitter effect on sampling is modeled for communication systems with the degree of accuracy needed for modern high speed data communication. The models developed and presented here have been used to develop the clocking specifications and silicon budgets for industry standards such as PCI Express, USB3.0, GDDR5 Memory, and HBM Memory interfaces.
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Oulmane, Mourad. "Integrated solutions for timing jitter measurement." Thesis, McGill University, 2011. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=104524.

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In this thesis we present two integrated solutions suitable for measuring the timing jitter of digital signals in SoCs and data acquisition systems (mainly sampling ADCs). The presented methods are also suitable for time measurement in a variety of timing-based metrological applications. The first method is based on the amplification of the time difference to be measured using a time amplifier (TAMP). The result of the amplification is subsequently digitized using a low resolution time-to-digital converter (TDC). The amplifier is based on the principle of virtual charge sharing that allows for continuous, monotonic and symmetric time transfer characteristics. Given its analog nature, the time amplifier has linearity issues in addition to being prone to temperature and process variations and uncertainties. To address these problems, a measurement and calibration method that consists of a dual TAMP arrangement is used to deduce the measured timing quantities without a priori knowledge of the gain of the amplifiers. Also, an empirical and more direct calibration technique suitable for a single-amplifier-based measurement system is presented. In this thesis we implement an amplifier with a measured gain of 228 s/s feeding a TDC of 78 ps of resolution resulting in a timing measurement system of 342.1 fs of nominal resolution.The second method consist of an ADC-based jitter measurement technique in which the jittery signal assumes the role of sampling clock. The novelty in this technique is that it supports arbitrary analog inputs to the ADC as measurement vehicle. The proposed measurement system comprises, in addition to the sampling ADC, an independent back-end digital system to extract jitter timing information. A very important feature of such a digital system is that the jitter-induced magnitude error in each output sample of the ADC is first measured before extracting its associated timing information. Jitter characteristics of the sampling clock are extracted with high accuracy. Indeed, as demonstrated in this thesis, even for an input signal to the ADC with a bandwidth as small as 4.61 MHz, the jitter distribution of a 12.5 MHz sampling clock is extracted with an accuracy of about 3.25 ps.
Dans cette thèse, nous présentons deux solutions intégrées pour mesurer les fluctuations dans le timing des signaux numériques, communément appelé “jitter”, et ce dans les systèmes sur puce et les systèmes d'acquisition de données (principalement les CANs). Ces techniques sont aussi employables dans toutes autres applications métrologiques dont le principe de fonctionnement est basé sur la mesure du temps.La première méthode est basée sur l'amplification de la différence de temps à mesurer à l'aide d'un amplificateur de temps (TAMP). Le résultat de l'amplification est ensuite numérisé en utilisant un convertisseur temps-numérique. La conception de l'amplificateur est basé sur le principe de partage virtuel de charge qui permet une courbe de transfert de temps continue, monotone et symétrique. Compte tenu de sa nature analogique, l'amplificateur est limité en termes de linéarité en plus d'être sensible aux variations de température et de processus. Pour résoudre ce problème, une méthode de mesure et d'étalonnage qui consiste en une configuration double-TAMP est utilisée pour déduire les quantités mesurées sans connaissance préalable du gain des amplificateurs utilisés. Aussi, nous présentons une technique empirique pour calibrer un système de mesure comprenant un seul amplificateur. Dans cette thèse, nous implémentons un amplificateur avec un gain mesuré de 228 s/s alimentant un convertisseur temps-numérique de 78 ps de résolution. Effectivement, ceci résulte en un système de mesure de temps d'une résolution nominale de 342,1 fs.La seconde méthode pour mesurer le jitter consiste en une technique de mesure basée sur un CAN à échantillonnage ou le signal dont le jitter est à mesurer assume le rôle d'horloge. La particularité fondamentale de cette technique est qu'elle admet des signaux analogiques arbitraires à l'entrée du CAN. Le système de mesure proposé comprend, en plus du CAN, un bloc digital entièrement indépendant du CAN pour extraire l'erreur de timing associée à chaque échantillon à la sortie du CAN. Une caractéristique très importante de ce bloc est qu'il calcule d'abords l'erreur dans le code de chaque échantillon à la sortie du CAN induite par le jitter avant d'en déduire l'erreur de timing. Dans cette étude, les caractéristiques du jitter de l'horloge d'échantillonnage sont extraites avec une grande précision. Expérimentalement parlant, même pour une bande d'entrée aussi basse que 4,61 MHz, la distribution du jitter d'une horloge d'échantillonnage de 12,5 MHz est extraite avec une précision de l'ordre de 3.25 ps.
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Helal, Belal M. 1971. "Techniques for low jitter clock multiplication." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/44417.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.
Includes bibliographical references (p. 115-121).
Phase realigning clock multipliers, such as Multiplying Delay-Locked Loops (MDLL), offer significantly reduced random jitter compared to typical Phase-Locked Loops (PLL). This is achieved by introducing the reference signal directly into their voltage controlled oscillators (VCO) to realign the phase to the clean reference. However, the typical cost of this benefit is a significant increase in deterministic jitter due to path mismatch in the detector as well as analog nonidealities in the tuning circuits. This thesis proposes a mostly-digital tuning technique that drastically reduces deterministic jitter in phase realigning clock multipliers. The proposed technique eliminates path mismatch by using a single-path digital detection method that leverages a scrambling time-to-digital converter (TDC) and correlated double sampling to infer the tuning error from the difference in cycle periods of the output. By using a digital loop filter that consists of a digital accumulator, the tuning technique avoids the analog nonidealities of typical tuning paths. The scrambling TDC is not a contribution of this thesis. A highly-digital MDLL prototype that uses the proposed tuning technique consists of two custom 0.13 [mu]m ICs, an FPGA board, a discrete digital-to-analog converter (DAC) with effective 8 bits, and a simple RC filter. The measured performance (for a 1.6 GHz output and 50 MHz reference) demonstrated an overall jitter of 0.93 ps rms, and estimated random and deterministic jitter of 0.68 ps rms and 0.76 ps peak-to-peak, respectively. The proposed MDLL architecture is especially suitable for digital ICs, since its highly-digital architecture is mostly compatible with digital design flows, which eases its porting between technologies.
by Belal Moheedin Helal.
Ph.D.
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Lee, Li-Min. "Low-jitter multi-phase clock distribution." Diss., Restricted to subscribing institutions, 2008. http://proquest.umi.com/pqdweb?did=1610045471&sid=14&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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Onunkwo, Uzoma Anaso. "Timing Jitter in Ultra-Wideband (UWB) Systems." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/10465.

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Timing offsets result from the use of real clocks that are non-ideal in sampling intervals. These offsets also known as timing jitter were shown to degrade the performance of the two forms of UWB systems impulse radio and orthogonal frequency division multiplexing (OFDM)-based UWB. It was shown that for impulse radio, timing jitter distorts the correlation property of the transmitted signal and the resulting performance loss is proportional to the root-mean-square (RMS) value of the timing jitter. For the OFDM-based UWB, timing jitter introduced inter-channel interference (ICI) and the performance loss was dependent on the product of the bandwidth and the RMS of the timing jitter. A number of techniques were proposed for mitigating the performance degradation in each form of UWB. Specifically, for impulse radio, the methods of pulse shaping and sample averaging were provided, whereas for OFDM-based UWB, oversampling and adaptive modulation were given. Through analysis and simulation, it was shown that substantial gain in signal power-to-noise ratio can be achieved using these jitter-reduction methods.
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Zhang, Peng Frank. "Jitter buffer management algorithms for voice communication." Thesis, University of Ottawa (Canada), 2002. http://hdl.handle.net/10393/6345.

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This thesis studies some jitter management algorithms for real-time applications. These algorithms are executed at a destination node, and assume no knowledge of the source characteristic or the impact of the network path characteristic. The work mainly focuses on prediction algorithms that make use of the information of the packets received in the past, and adjust buffer parameters in order to maintain certain level of quality of service (QoS). Two algorithms are proposed, first, to apply the least mean square method to predict the future packet interarrival time so that the buffer parameters can be dynamically changed in order to adapt to the bursty network traffic; second, to apply the fuzzy logic method on the buffer management to maintain the gap probability within acceptable level while keep the latency as low as possible. These two new algorithms have been evaluated using OPNET simulation and compared with some other algorithms such as the I-policy and the E-policy. We studied and discussed the tradeoff among the gap probability, average display latency, and packet loss probability. Towards the end, we have also made some design recommendations.
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Lazar, Mihai. "Empirical modeling of end-to-end jitter." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0019/MQ58472.pdf.

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Moradi, Hamid. "State-of-the-art within jitter measurement." Thesis, Högskolan i Gävle, Akademin för teknik och miljö, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-16148.

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The aim of this thesis is to study different types of jitter measurement methods and to make comparison between them. With this purpose, a literature study was performed by searching in different databases. The explored databases include: a) Recent research articles in jitter measurements appearing in IEEE xplorer with published date posterior to 1998, b) Application notes and white papers from leading companies as Agilent and Anritsu.  In this study it is shown that the research method presented in [20] has more accuracy compared to ITU standard method due to that an specific signal from PDH is measured directly while no specification to test equipment is need it. In case of the measurement of aperture uncertainty on ADC it is shown that the research method in [21] has more accuracy compare to IEEE standard methods because it removes quantization error and amplitude noise from measurement while does not need any frequency information
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Books on the topic "Jitter"

1

Jitter joint. New York: St. Martin's Press, 1999.

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L, Varma Eve, ed. Jitter in digital transmission systems. Norwood, MA: Artech House, 1989.

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Takasaki, Yoshitaka. Digital transmission design and jitter analysis. Boston: Artech House, 1991.

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Molnar, John. UARS in-flight jitter study for EOS. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1993.

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Molnar, John. UARS in-flight jitter study for EOS. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1993.

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Molnar, John. UARS in-flight jitter study for EOS. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1993.

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Oh, Kyung Suk. High speed signaling: Jitter modeling, analysis, and budgeting. Boston, MA: Pearson Education, 2012.

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Oh, Kyung Suk. High speed signaling: Jitter modeling, analysis, and budgeting. Boston, MA: Pearson Education, 2012.

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Li, Mike Peng. Jitter, noise, and signal integrity at high- speed. Upper Saddle River, NJ: Prentice Hall, 2008.

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ill, Dypold Pat, ed. Twist with a burger, jitter with a bug. Boston: Houghton Mifflin, 1995.

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Book chapters on the topic "Jitter"

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Weik, Martin H. "jitter." In Computer Science and Communications Dictionary, 845. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_9668.

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Anthonys, Gehan. "Jitter and Measurement of Jitter." In Timing Jitter in Time-of-Flight Range Imaging Cameras, 55–73. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-94159-8_4.

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Weik, Martin H. "tau jitter." In Computer Science and Communications Dictionary, 1739. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_19120.

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Weik, Martin H. "time jitter." In Computer Science and Communications Dictionary, 1789. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_19647.

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Weik, Martin H. "transverse jitter." In Computer Science and Communications Dictionary, 1833. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_20090.

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Weik, Martin H. "fortuitous jitter." In Computer Science and Communications Dictionary, 633. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_7475.

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Weik, Martin H. "induced jitter." In Computer Science and Communications Dictionary, 769. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_8877.

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Weik, Martin H. "τ-jitter." In Computer Science and Communications Dictionary, 1946. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_21372.

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Weik, Martin H. "longitudinal jitter." In Computer Science and Communications Dictionary, 930. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_10634.

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Weik, Martin H. "phase jitter." In Computer Science and Communications Dictionary, 1260. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_13915.

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Conference papers on the topic "Jitter"

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Steinmeyer, Günter, Matthias Schnürer, Lutz Ehrentraut, Raman Maksimenka, and Nicolas Forget. "The secret recipe for passive CEP stabilization." In Ultrafast Optics. Washington, D.C.: Optica Publishing Group, 2023. http://dx.doi.org/10.1364/ufo.2023.m2.3.

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We discuss the origin of residual carrier-envelope phase jitters in passively stabilized laser systems, comparing measured data at 9 different laser systems with a theoretical model. These considerations strongly suggest the Gordon-Haus jitter of the primary oscillator as the reason for the often observed excessive CEP jitters of these systems.
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Choi, Hyun, Donghoon Han, and Abhijit Chatterjee. "Enhanced Resolution Jitter Testing Using Jitter Expansion." In 25th IEEE VLSI Test Symmposium. IEEE, 2007. http://dx.doi.org/10.1109/vts.2007.31.

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Gonzalez, Nelson Mimura, Alessandro Morari, and Fabio Checconi. "Jitter-Trace." In ROSS '17: International Workshop on Runtime and Operating Systems for Supercomputers ROSS 2017. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3095770.3095772.

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Choi, Hyun, and Abhijit Chatterjee. "Digital bit stream jitter testing using jitter expansion." In 2008 Design, Automation and Test in Europe. IEEE, 2008. http://dx.doi.org/10.1109/date.2008.4484881.

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Choi, Hyun, and Abhijit Chatterjee. "Digital bit stream jitter testing using jitter expansion." In the conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1403375.1403729.

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Song, Hongjiang, Jianan Song, Aritra Dey, and Yan Song. "Jitter transfer function model and VLSI jitter filter circuits." In 2010 IEEE International SOC Conference (SOCC). IEEE, 2010. http://dx.doi.org/10.1109/socc.2010.5784639.

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Oh, Taehwan, Hariprasath Venkatram, Jon Guerber, and Un-Ku Moon. "Correlated jitter sampling for jitter cancellation in pipelined TDC." In 2012 IEEE International Symposium on Circuits and Systems - ISCAS 2012. IEEE, 2012. http://dx.doi.org/10.1109/iscas.2012.6272164.

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Wassom, Steven R., Chad Fish, Larry Gordley, and John Burton. "SOFIE jitter analysis." In Optical Engineering + Applications, edited by Marija Strojnik-Scholl. SPIE, 2007. http://dx.doi.org/10.1117/12.736475.

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Oklander, B., and M. Sidi. "Jitter Buffer Analysis." In 17th International Conference on Computer Communications and Networks 2008. IEEE, 2008. http://dx.doi.org/10.1109/icccn.2008.ecp.33.

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Nose, K., M. Kajita, and M. Mizuno. "A 1ps-Resolution Jitter-Measurement Macro Using Interpolated Jitter Oversampling." In 2006 IEEE International Solid-State Circuits Conference. Digest of Technical Papers. IEEE, 2006. http://dx.doi.org/10.1109/isscc.2006.1696271.

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Reports on the topic "Jitter"

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Skormin, Victor A. PAT Jitter Stabilization. Fort Belvoir, VA: Defense Technical Information Center, May 1997. http://dx.doi.org/10.21236/ada329969.

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Lee, R. W. ,. LLNL. Low-jitter sonoluminescence cell. Office of Scientific and Technical Information (OSTI), January 1998. http://dx.doi.org/10.2172/310912.

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Martwick, Andrew. Clock Jitter in Communication Systems. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6259.

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Simonson, Katherine Mary, and Tian J. Ma. Robust real-time change detection in high jitter. Office of Scientific and Technical Information (OSTI), August 2009. http://dx.doi.org/10.2172/993911.

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Partridge, C. Isochronous applications do not require jitter-controlled networks. RFC Editor, September 1991. http://dx.doi.org/10.17487/rfc1257.

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Clausen, T., C. Dearlove, and B. Adamson. Jitter Considerations in Mobile Ad Hoc Networks (MANETs). RFC Editor, February 2008. http://dx.doi.org/10.17487/rfc5148.

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Geetika-Singh, FNU. Analysis of jitter control using real time scheduling. Ames (Iowa): Iowa State University, January 2020. http://dx.doi.org/10.31274/cc-20240624-205.

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Brower, K. L. Algorithm for image registration and clutter and jitter noise reduction. Office of Scientific and Technical Information (OSTI), February 1997. http://dx.doi.org/10.2172/446383.

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Ben-Ezra, Moshe, Assaf Zomet, and Shree K. Nayar. Jitter-Camera: High Resolution Video from a Low Resolution Detector. Fort Belvoir, VA: Defense Technical Information Center, January 2005. http://dx.doi.org/10.21236/ada437160.

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Glaese, Roger M., Eric H. Anderson, and Paul C. Janzen. Active Suppression of Acoustically Induced Jitter for the Airborne Laser. Fort Belvoir, VA: Defense Technical Information Center, January 2000. http://dx.doi.org/10.21236/ada451655.

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