Results 281 to 290 of about 256,514 (313)
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Reconstruction of Real Signals
2008 International Conference on Computer and Electrical Engineering, 2008We consider a real signal which has been sampled synchronously and uniformly at two sampling frequencies, the first equal to its bandwidth, and the second to 150% of its bandwidth. Therefore the two corresponding discrete-time signals are undersampled versions of the original analog signal.
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[1991] Proceedings of the 34th Midwest Symposium on Circuits and Systems, 2002
It is pointed out that modular signal reconstruction (MSR) allows for very simple and compact VLSI implementations. The idea is to process the derivative (or successive difference) of the signal using modular arithmetic and reconstruct the answer by integrating.
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It is pointed out that modular signal reconstruction (MSR) allows for very simple and compact VLSI implementations. The idea is to process the derivative (or successive difference) of the signal using modular arithmetic and reconstruct the answer by integrating.
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Consistent Sampling and Efficient Signal Reconstruction
IEEE Signal Processing Letters, 2009We propose efficient signal reconstruction methods such that the reconstructed signal has the same measurements as the underlying original signal if the former was observed by the same system as that for the latter. The reconstructed signal is a linear combination of reconstruction functions, and the main task is to compute the coefficients from the ...
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Sampling and Reconstruction of Signals
2017The method of obtaining the discrete sequence from the continuous signal by sampling the continuous signal with the sampling frequency Fs is described in this chapter. This chapter covers Fourier series, Fourier transformation, Discrete Time Fourier Transformation, Discrete Fourier Transformation, Laplace transformation and the Z-transformation.
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Sparse signal reconstruction via collaborative neurodynamic optimization
Neural Networks, 2022Jun Wang +2 more
exaly
Signal Reconstruction and Coding
2001Consider a low-pass signal with N samples where the amplitude of t samples was modified. Is it possible to find a method to detect which samples violate the low-pass condition and reconstruct their original amplitude? Most of the known techniques of signal reconstruction don’t solve this problem, being necessary to know the error positions in order to ...
Vieira, José Manuel Neto +1 more
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The signal reconstruction of speech by KPCA
6th International Conference on Spoken Language Processing (ICSLP 2000), 2000Hui Yan +4 more
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Continuous Time Digital Signal Processing and Signal Reconstruction
2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC), 2023Patrick Jungwirth, W. Michael Crowe
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Sparse-Prony FRI signal reconstruction
Signal, Image and Video Processing, 2023P. Sudhakar Reddy +2 more
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Subspace Pursuit for Compressive Sensing Signal Reconstruction
IEEE Transactions on Information Theory, 2009Olgica Milenkovic
exaly