Results 31 to 40 of about 5,685 (163)
Noise-Improved Bayesian Estimation With Arrays of One-Bit Quantizers [PDF]
IEEE Transactions on Instrumentation and Measurement, 2007 A noisy input signal is observed by means of a parallel array of one-bit threshold quantizers, in which all the quantizer outputs are added to produce the array output. This parsimonious signal representation is used to implement an optimal Bayesian estimation from the output of the array.
David Rousseau +1 more
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Low-Complexity One-Bit DOA Estimation for Massive ULA with a Single Snapshot
Remote Sensing, 2022 Existing one-bit direction of arrival (DOA) estimate methods based on sparse recovery or subspace have issues when used for massive uniform linear arrays (MULAs), such as high computing cost, estimation accuracy depending on grid size, or high snapshot ...
Shaodi Ge +3 more
doaj +1 more source
Autoencoder-Based Error Correction Coding for One-Bit Quantization [PDF]
IEEE Transactions on Communications, 2020 This paper proposes a novel deep learning-based error correction coding scheme for AWGN channels under the constraint of one-bit quantization in the receivers. Specifically, it is first shown that the optimum error correction code that minimizes the probability of bit error can be obtained by perfectly training a special autoencoder, in which ...
Eren Balevi, Jeffrey G. Andrews
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Direction Finding Using Compressive One-Bit Measurements
IEEE Access, 2018 In this paper, we propose a novel direction-of-arrival (DOA) estimation scheme, which is named the compressive one-bit measurement scheme. In the proposed scheme, the one-bit quantization technique is used to reduce the system cost in terms of the analog-
Tao Chen, Muran Guo, Xiangsong Huang
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IEEE Access, 2023 A hybrid reflectarray antenna (RA) composed of passive and active unit cells that can steer a beam into two selected directions with high aperture efficiencies is designed and experimentally verified.
Yong-Hyun Nam +3 more
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Lightweight SAR: A 1.5-Bit Strategy
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingNowadays lightweight radar has become an important technique in autonomous driving systems for its all-weather sensing ability. Synthetic aperture radar (SAR) imaging based on one-bit sampling is able to considerably simplify system deployment and cut ...
Shiqi Liu +4 more
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4.6-Bit Quantization for Fast and Accurate Neural Network Inference on CPUs
MathematicsQuantization is a widespread method for reducing the inference time of neural networks on mobile Central Processing Units (CPUs). Eight-bit quantized networks demonstrate similarly high quality as full precision models and perfectly fit the hardware ...
Anton Trusov +3 more
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Rate-Distortion Optimized Encoding for Deep Image Compression
IEEE Open Journal of Circuits and Systems, 2021 Deep-learned variational auto-encoders (VAE) have shown remarkable capabilities for lossy image compression. These neural networks typically employ non-linear convolutional layers for finding a compressible representation of the input image.
Michael Schafer +5 more
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HDR Imaging with One-Bit Quantization
2024 IEEE 13rd Sensor Array and Multichannel Signal Processing Workshop (SAM)Modulo sampling and dithered one-bit quantization frameworks have emerged as promising solutions to overcome the limitations of traditional analog-to-digital converters (ADCs) and sensors. Modulo sampling, with its high-resolution approach utilizing modulo ADCs, offers an unlimited dynamic range, while dithered one-bit quantization offers cost ...
Arian Eamaz +2 more
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SPSA View on the Straight-Through Estimator in Neural Network Quantization
IEEE AccessLow-bit quantization-aware training of neural networks typically relies on the straight-through estimator (STE) to learn both quantized weights and their associated scales or effective bit-widths.
Sergey Salishev +4 more
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