The “Median” Method for the Reduction of Noise and Trigger Jitter on Waveform Data
نویسندگان
چکیده
The "median" method for the reduction of the effect of noise and trigger jitter on waveform data is described. The effectiveness of this method was examined using simulations and experiments and, for typical jitter and noise observed in electrical pulse metrology, is shown to provide reconstructed waveforms with transition durations that accurately match those of the input signal. Also, for aberrations, an upper bound on the error in the amplitude of the aberration is provided.
منابع مشابه
Using a novel method for random noise reduction of seismic records
Random or incoherent noise is an important type of seismic noise, which can seriously affect the quality of the data. Therefore, decreasing the level of this category of noises is necessary for increasing the signal-to-noise ratio (SNR) of seismic records. Random noises and other events overlap each other in time domain, which makes it difficult to attenuate them from seismic records. In this r...
متن کاملAn Enhanced Median Filter for Removing Noise from MR Images
In this paper, a novel decision based median (DBM) filter for enhancing MR images has been proposed. The method is based on eliminating impulse noise from MR images. A median-based method to remove impulse noise from digital MR images has been developed. Each pixel is leveled from black to white like gray-level. The method is adjusted in order to decide whether the median operation can be appli...
متن کاملFast Fpga Based Low-trigger-jitter Waveform Generator Method for Barrier-bucket Electronics at Fair∗
A new method for low trigger-jitter waveform generation is presented. The targeted application is the time-delayed, trigger synchronous waveform generation. The method can be implemented on a single FPGA, which drives an ADC. The phase-jitter between a trigger signal fed to the FPGA and the generated single sine waveform is σ= 40 ps and 275 ps peak-to-peak. The response time of the wave form ge...
متن کاملSalt and Pepper Noise Removal using Pixon-based Segmentation and Adaptive Median Filter
Removing salt and pepper noise is an active research area in image processing. In this paper, a two-phase method is proposed for removing salt and pepper noise while preserving edges and fine details. In the first phase, noise candidate pixels are detected which are likely to be contaminated by noise. In the second phase, only noise candidate pixels are restored using adaptive median filter. In...
متن کاملImproved Adaptive Median Filter Algorithm for Removing Impulse Noise from Grayscale Images
Digital image is often degraded by many kinds of noise during the process of acquisition and transmission. To make subsequent processing more convenient, it is necessary to decrease the effect of noise. There are many kinds of noises in image, which mainly include salt and pepper noise and Gaussian noise. This paper focuses on median filters to remove the salt and pepper noise. After summarizin...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره 110 شماره
صفحات -
تاریخ انتشار 2005