نتایج جستجو برای: signal sampling

تعداد نتایج: 583070  

Journal: :IET Communications 2007
Mamiko Inamori Anas Muhamad Bostamam Yukitoshi Sanada

The influence of timing jitter on quadrature charge sampling for a direct conversion receiver has been evaluated. In contrast to voltage sampling, the charge sampling mixer integrates the signal current instead of tracking the signal voltage. The charge sampling mixer has been applied to RF direct sampling in wireless receivers. The influence of timing jitter on charge sampling has been analyse...

2013
Shugao Xia Yuhong Liu Jeffrey Sichina Fengshan Liu

A major challenge in UWB signal processing is the requirement for very high sampling rate under Shannon-Nyquist sampling theorem which exceeds the current ADC capacity. Radar signal is essentially a delayed and scaled version of the transmitted pulse, determined by sparse parameters such as time delays and amplitudes. A system for sampling UWB radar signal at an ultralow sampling rate based on ...

2010
Mohammadreza Mahmudimanesh Abdelmajid Khelil Neeraj Suri

Compressed Sensing (CS) is a novel sampling paradigm that tries to take data-compression concepts down to the sampling layer of a sensory system. It states that discrete compressible signals are recoverable from sub-sampled data, when the data vector is acquired by a special linear transform of the original discrete signal vector. Distributed sampling problems especially in Wireless Sensor Netw...

Journal: :IEEE Trans. Signal Processing 2002
Yukihiko Yamashita

Sampling is a very important and basic technique for signal processing. In the case that noise is added to a signal in the sampling process, we may use a reconstruction and noise reduction filter such as the Wiener filter. The Wiener filter provides a restored signal of which mean square error is minimized. However, the mean square error by the Wiener filter depends on the sampling vectors. We ...

2007
K. BUSAWON

In this paper, a non-uniform sampling algorithm is proposed for one-dimensional bandlimited time varying signals. The main feature of the proposed sampling scheme is that the sampling steps are inversely proportional to signal gradient or slope of the signal. As a result, a smaller sampling step is obtained whenever the gradient is high and vice-versa. Thus, a better representation of the signa...

2017

R.Revathi., MCA.,MPhil.,M.E.,(Ph.D) Assistant Professor, Department of Computer Science, Jawaharlal Nehru College for Women, Ulundurpet Email: [email protected] -------------------------------------------------------------------ABSTRACT--------------------------------------------------------------A common goal of the engineering field of signal processing is to reconstruct a signal from a ...

2006
Modris Greitans Rolands Shavelis

Commonly used analog-to-digital converters sample signals uniformly. The sampling rate is determined by maximal frequency in signal spectrum. In the general case the spectral content of the majority of signals encountered in our everyday life changes over time. The main idea behind level-crossing sampling is to take advantage of the characteristics of the input signal in order to minimize activ...

Journal: :رادار 0
حامد احمدیان یزدی رضا کیوان شکوه

the range imaging based on conventional pulse compression technique requires lfm signal that sampled by nyquist rate. in order to high resolution increased in range in pulse compression, so the lfm bandwidth has to increase. consequently this procedure dictated limitations on adc sampling. the stretch processing is one of techniques decreasing nyquist rate in radars. in this method the nature o...

2016
Hsin-Yu Lai Alan Oppenheim

Level-crossing sampling refers to a sampling method that generates a sequence of timing samples when a signal crosses a specified set of levels. Conventional sampling techniques more typically rely on producing a sequence of amplitude samples at a specified set of timings. Level-crossing sampling has been considered as a promising alternative to time sampling when it is difficult to implement h...

Journal: :Signal Processing 2014
Zhechen Zhu Muhammad Waqar Aslam Asoke K. Nandi

With the classification performance and computational complexity in mind, we propose a new optimized distribution sampling test (ODST) classifier for automatic classification of M-QAM signals. In ODST, signal cumulative distributions are sampled at pre-established locations. The actual sampling process is transformed into simple counting task for reduced computational complexity. The optimizati...

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