Results 181 to 190 of about 9,784,899 (249)
Some of the next articles are maybe not open access.
Effective frequency-domain ADC testing
IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, 2000Frequency domain based analog-to-digital converter testing is addressed in this brief. It proposes a design technique based on a suitable class of window functions. The resulting testing procedure is characterized by robustness to model uncertainties, high accuracy, low computational burden, and ease of use.
CARBONE, Paolo, D. Petri
openaire +3 more sources
Frequency Domain Interpolation
IEEE Transactions on Aerospace and Electronic Systems, 1977A formula is derived for interpolation between output samples of a fast Fourier transform (FFT), i.e., in the frequency domain. Such a formula is useful for obtaining greater frequency resolution when two coarse FFT outputs are available. Consideration is also given to the effect of such interpolation on a weighted FFT.
C.T. Leondes, D.D. Rivers
openaire +1 more source
The Ultrahigh-Frequency Domain
Transactions of the American Institute of Electrical Engineers, 1937Use of ultrahigh frequencies for educational broadcasting has been thought to offer attractive possibilities because of the supposedly almost unlimited number of channels; however, the demands of other radio services, particularly television, may be expected to congest this newly opened region. Ultrahigh-frequency waves behave somewhat like light waves,
openaire +1 more source
Packing Convolutional Neural Networks in the Frequency Domain
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019Deep convolutional neural networks (CNNs) are successfully used in a number of applications. However, their storage and computational requirements have largely prevented their widespread use on mobile devices.
Yunhe Wang +3 more
semanticscholar +1 more source
Training behavior of deep neural network in frequency domain
International Conference on Neural Information Processing, 2018Why deep neural networks (DNNs) capable of overfitting often generalize well in practice is a mystery [#zhang2016understanding]. To find a potential mechanism, we focus on the study of implicit biases underlying the training process of DNNs. In this work,
Zhi-Qin John Xu, Yaoyu Zhang, Yan Xiao
semanticscholar +1 more source
2014
So far, we have mostly examined the response of dynamic systems to relatively simple inputs: impulses, steps, and ramps. While we have used Matlab ® to calculate the response of systems to more complex inputs numerically, there are also analytical methods that can be used to identify the response of systems to inputs of a general form.
Matthew A. Davies, Tony L. Schmitz
openaire +2 more sources
So far, we have mostly examined the response of dynamic systems to relatively simple inputs: impulses, steps, and ramps. While we have used Matlab ® to calculate the response of systems to more complex inputs numerically, there are also analytical methods that can be used to identify the response of systems to inputs of a general form.
Matthew A. Davies, Tony L. Schmitz
openaire +2 more sources
Frequency-Domain Circuit Analysis
1999The sections in this article are 1 Frequency-Domain Circuit Equations 2 State Equations 3 Network Functions 4 Two-Sided Laplace and Fourier Transforms in Circuit Analysis 5 Applications of Frequency-Domain ...
BIEY, MARIO, MAIO I.
openaire +2 more sources
Frequency domain optical reflectometer
Applied Optics, 1981A correlation reflectometer operating in the frequency domain is described. It is shown that such an instrument is well adapted to detecting weak discrete reflections. The detection of end reflections in a 2.2-km length of fiber whose end is index matched is demonstrated.
openaire +2 more sources
Time-domain slicing optical frequency domain reflectometry
Optics LettersA time-domain slicing (TDS) optical frequency domain reflectometry is proposed for large strain sensing with better spatial resolution. Compared with the conventional frequency domain slicing (FDS) method, the TDS with a Burg spectrum estimation is capable of enhancing the similarity of a local spectrum under large strain and mostly suppressing the ...
Qing, Bai +6 more
openaire +2 more sources
1995
In Definition 4.3.5, we introduced the notion of a transfer function for a state linear system Σ(A, B, C. D) and showed that it was equal to D + C(sI – A)-1B. In this section, we study the input-output relationship directly in the frequency domain without reference to any state-space descriptions.
Ruth F. Curtain, Hans Zwart
openaire +1 more source
In Definition 4.3.5, we introduced the notion of a transfer function for a state linear system Σ(A, B, C. D) and showed that it was equal to D + C(sI – A)-1B. In this section, we study the input-output relationship directly in the frequency domain without reference to any state-space descriptions.
Ruth F. Curtain, Hans Zwart
openaire +1 more source

