Results 11 to 20 of about 2,561,650 (296)
Compressive Sampling for Array Cameras [PDF]
SIAM Journal on Imaging Sciences, 2021 While design of high-performance lenses and image sensors has long been the focus of camera development, the size, weight, and power of image data processing components are currently the primary barriers to radical improvements in camera resolution. Here we show that deep learning--aided compressive sampling can reduce operating power on camera head ...
Xuefei Yan +8 more
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Compressed Sensing EEG Measurement Technique with Normally Distributed Sampling Series [PDF]
, 2022 Okabe Y., Kanemoto D., Maida O., et al. Compressed Sensing EEG Measurement Technique with Normally Distributed Sampling Series. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E105A, 1429 (2022); https://doi.org/10.
Maida, Osamu +7 more
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An Introduction To Compressive Sampling [PDF]
IEEE Signal Processing Magazine, 2008 Conventional approaches to sampling signals or images follow Shannon's theorem: the sampling rate must be at least twice the maximum frequency present in the signal (Nyquist rate). In the field of data conversion, standard analog-to-digital converter (ADC) technology implements the usual quantized Shannon representation - the signal is uniformly ...
Emmanuel J. Candès, Michael B. Wakin
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Sampling and reconstructing signals from a union of linear subspaces
, 2011 In this note we study the problem of sampling and reconstructing signals which are assumed to lie on or close to one ofseveral subspaces of a Hilbert space.
Blumensath, Thomas, Thomas Blumensath
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Compressive Video Sampling [PDF]
, 2008 Publication in the conference proceedings of EUSIPCO, Lausanne, Switzerland ...
Stankovic, V., Stankovic, L., Cheng, S.
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Estimation of LFM signal parameters using RD compressed sampling and the DFRFT dictionary
EURASIP Journal on Advances in Signal Processing, 2023 In this paper, a method combining random demodulator (RD) and discrete fractional Fourier transform (DFRFT) dictionary is suggested to directly estimate the parameters of linear frequency modulation (LFM) signals from compressed sampling data. First, the
Shuo Meng, Chen Meng, Cheng Wang
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Compressed sensing applied to modeshapes reconstruction [PDF]
, 2011 Modal analysis classicaly used signals that respect the Shannon/Nyquist theory. Compressive sampling (or Compressed Sampling, CS) is a recent development in digital signal processing that offers the potential of high resolution capture of physical ...
Dimitri Bettebghor +3 more
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LPI Radar Waveform Recognition Based on Multi-Branch MWC Compressed Sampling Receiver
IEEE Access, 2018 In this paper, a new wideband digital receiver based on the modulated wideband converter compressed sampling (CS) system is proposed to replace a conventional wideband digital receiver, solve the cross-channel signal problem, and achieve intra-pulse ...
Tao Chen, Lizhi Liu, Xiangsong Huang
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Image Encryption Scheme Based on Multiscale Block Compressed Sensing and Markov Model
Entropy, 2021 Many image encryption schemes based on compressed sensing have the problem of poor quality of decrypted images. To deal with this problem, this paper develops an image encryption scheme by multiscale block compressed sensing. The image is decomposed by a
Yuandi Shi, Yinan Hu, Bin Wang
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Compressive Sampling of Binary Images [PDF]
2008 Congress on Image and Signal Processing, 2008 Compressive sampling is a novel framework that exploits sparsity of a signal in a transform domain to perform sampling below the Nyquist rate. In this paper, we apply compressive sampling to reduce the sampling rate of binary images. A system is proposed whereby the image is split into non-overlapping blocks of equal size and compressive sampling is ...
Stankovic, V., Stankovic, L., Cheng, S.
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