Results 31 to 40 of about 7,894 (165)
A Note on Treatment of Signals in Digital Signal Processing and in Network Calculus
Scientific Journal of Gdynia Maritime University, 2019 This short paper presents from the perspective of the operator theory some basic operations performed on signals in the digital signal processing as well as in the network calculus.
Andrzej Borys
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Reconsidering Linear Transmit Signal Processing in 1-Bit Quantized Multi-User MISO Systems [PDF]
IEEE Transactions on Wireless Communications, 2019 In this contribution, we investigate a coarsely quantized Multi-User (MU)-Multiple Input Single Output (MISO) downlink communication system, where we assume 1-Bit Digital-to-Analog Converters (DACs) at the Base Station (BS) antennas. First, we analyze the achievable sum rate lower-bound using the Bussgang decomposition.
Oliver De Candido +4 more
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Distributed Vector Quantization over Sensor Network
International Journal of Distributed Sensor Networks, 2014 A vector quantizer is a system for encoding the original data to reduce the bits needed for communication and storage saving while maintaining the necessary fidelity of the data.
Chunguang Li, Yiliang Luo
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Journal of King Saud University: Computer and Information Sciences, 2014 The core contribution of this paper is to introduce a general neat scheme based on soft vector clustering for the dithering of multidimensional signals that works in any space of arbitrary dimensionality, on arbitrary number and distribution of ...
Mohamed Attia +3 more
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Feedback Reduction in Uplink MIMO OFDM Systems by Chunk Optimization
EURASIP Journal on Advances in Signal Processing, 2008 The performance of multiuser MIMO systems can be significantly increased by channel-aware scheduling and signal processing at the transmitters based on channel state information.
Arogyaswami Paulraj +3 more
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Positive B-splines used as Mappings in the Probabilistic Quantizer
Revista Facultad de IngenieríaA Dithered quantizer consists of an external signal called Dither added to the input signal prior to quantization to control the statistical properties of the quantization error.
Juan-Pablo Hoyos-Sánchez +1 more
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Accelerating Families of Fuzzy K-Means Algorithms for Vector Quantization Codebook Design
Sensors, 2016 The performance of signal processing systems based on vector quantization depends on codebook design. In the image compression scenario, the quality of the reconstructed images depends on the codebooks used.
Edson Mata +4 more
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Доклады Белорусского государственного университета информатики и радиоэлектроники, 2020 The purpose of the work is to systematically analyze and generalize a high-precision measuring signal for assessing the security in leakage channels in high-level noise by discrete-quantized representation of speech signals using the principles of ...
V. K. Zheleznjak +3 more
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Vector signal processing techniques for all-optical networks
Dianxin kexue, 2019 The all-optical vector signal processing technology is of great significance in the evolution of optical network due to its low delay and high efficiency.Therefore,a comprehensive introduction to the technical background and application scheme of the ...
Zhen XING, Hongxiang WANG, Yuefeng JI
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A note on the trade-off between sampling and quantization in signal processing
Journal of Complexity, 1987 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lee, D, Pavlidis, T, Wasilkowski, G.W
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