نتایج جستجو برای: Digital Signal Processing
تعداد نتایج: 1072721 فیلتر نتایج به سال:
introduction many features, emerging from mathematical techniques, have been used in the analysis of brain signals. in this study, the physical quantity of “moment of inertia” (moi) was introduced as a feature to enhance high-frequency waves (hfws) in electroencephalography (eeg). materials and methods in this research, the recorded eegs from f3, f4, and cz points in 20 males were used. a total...
Radar Signal Processing has been an interesting area of research for realization of programmable digital signal processor using VLSI design techniques. Digital Signal Processing (DSP) algorithms have been an integral design methodology for implementation of high speed application specific real-time systems especially for high resolution radar. CORDIC algorithm, in recent times, is turned out to...
annihilation or reduction of each kind of noise blended in correct data signals is a field that has attracted many researchers. it is a fact that fuzzy theory presents full capability in this field. fuzzy filters are often strong in smoothing corrupted signals, whereas they have simple structures. in this paper, a new powerful yet simple fuzzy procedure is introduced for sharpness reduction in ...
In this paper, digital signal processing for precise gamma ray spectroscopy is presented. The basis of this system is a 14bit waveform digitizer which samples the output of pre-amplifier signals directly. The advantages and limitations of the digital spectrometer compared with analog spectrometer has been tested and analyzed from precise gamma ray spectroscopy point of view. The results shows t...
the article introduces cyclic dilation groups and finite affine groups for prime integers, and as an application of this theory it presents a unified group theoretical approach for the cyclic wavelet transform (cwt) of prime dimensional periodic signals.
the article introduces cyclic dilation groups and finite affine groups for prime integers, and as an application of this theory it presents a unified group theoretical approach for the cyclic wavelet transform (cwt) of prime dimensional periodic signals.
Artificial neural network (ANN) has application in communication engineering in diverse areas such as channel equalization, channel modeling, error control code because of its capability of nonlinear processing, adaptability, and parallel processing. On the other hand, wavelet transform (WT) with both the time and the frequency resolution provides the exact representation of signal in both doma...
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