نتایج جستجو برای: oversampling technique
تعداد نتایج: 612839 فیلتر نتایج به سال:
This article briefly describes conventional A/D conversion, as well as its performance modeling. We then look at the technique of oversampling, which can be used to improve the resolution of classical A/D methods. We discuss how sigma-delta converters use the technique of noise shaping in addition to oversampling to allow high resolution conversion of relatively low bandwidth signals. Next, we ...
A blind-oversampling CDR tracks the high-frequency jitter of the input data stream, but is limited at low-frequencies by the size of its FIFO [1]. A phase-tracking CDR, on the other hand, tracks jitter at frequencies below f3dB of its loop filter, but performs poorly beyond this frequency [2]. In this paper, a semi-blind-oversampling technique is presented. The proposed technique produces a jit...
In some previous articles general overviews of Δ-Σ and SAR (successive approximation register) ADCs, the techniques of oversampling as it relates to signal-to-noise ratio (SNR) and effective number of bits (ENOB) have been covered. The oversampling technique is most often used with the Δ-Σ ADC, but it is also useful with the SAR ADC. In this article we will dive in a bit deeper to see how this ...
This article presents a low-power fractional- ${N}$ all-digital phase-locked loop (ADPLL) employing reference-waveform oversampling (ROS) phase detector (PD) that increases its effective rate four times, thus leading to lower jitter a...
Imbalanced learning is a common problem in data mining. There different distribution of samples among other classes the imbalanced datasets. It's challenge for standard algorithms designed balanced class distributions. Although there are various strategies to solve this problem, generating artificial achieve relatively universal rather than directly modifying specific classification algorithms....
In recent years, there have been numerous cyber security issues that caused considerable damage to the society. The development of efficient and reliable Intrusion Detection Systems (IDSs) is an effective countermeasure against growing threats. modern high-bandwidth, large-scale network environments, traditional IDSs suffer from a high rate missed false alarms. Researchers introduced machine le...
An Improving Majority Weighted Minority Oversampling Technique for Imbalanced Classification Problem
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