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   Articles with "low bit" as a keyword



A Common Method for Detecting Multiple Steganographies in Low-Bit-Rate Compressed Speech Based on Bayesian Inference

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recommendations! Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2939629

Abstract: Analysis-by-synthesis linear predictive coding (AbS-LPC) is widely used in a variety of low-bit-rate speech codecs. The existing steganalysis methods for AbS-LPC low-bit-rate compressed speech steganography are specifically designed for one certain category of steganography methods,… read more here.

Keywords: low bit; rate compressed; speech; bit rate ... See more keywords

LSFQ: A Low-Bit Full Integer Quantization for High-Performance FPGA-Based CNN Acceleration

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recommendations! Published in 2022 at "IEEE Micro"

DOI: 10.1109/mm.2021.3134968

Abstract: The effective implementation of quantization depends not only on the specific task but also on the hardware resources. This article presents a hardware-aware customized quantization method for convolutional neural networks. We propose a learnable parameter… read more here.

Keywords: quantization; low bit; integer quantization; lsfq low ... See more keywords

Bit-Limited Sub-Nyquist Pulse-Doppler Radar

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recommendations! Published in 2025 at "IEEE Transactions on Aerospace and Electronic Systems"

DOI: 10.1109/taes.2024.3469174

Abstract: Pulse-Doppler (PD) radars, which prefer to operate with large bandwidth signals to attain superior range resolution, are widely used due to their superior performance in target detection and parameter estimation. However, the increasing data flow… read more here.

Keywords: pulse doppler; radar; low bit; sub nyquist ... See more keywords

Low Bit-Width Convolutional Neural Network on RRAM

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recommendations! Published in 2020 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"

DOI: 10.1109/tcad.2019.2917852

Abstract: The emerging resistive random-access memory (RRAM) has been widely applied in accelerating the computing of deep neural networks. However, it is challenging to achieve high-precision computations based on RRAM due to the limits of the… read more here.

Keywords: low bit; rram; width convolutional; bit width ... See more keywords

An Energy-and-Area-Efficient CNN Accelerator for Universal Powers-of-Two Quantization

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recommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems I: Regular Papers"

DOI: 10.1109/tcsi.2022.3227608

Abstract: CNN model computation on edge devices is tightly restricted to the limited resource and power budgets, which motivates the low-bit quantization technology to compress CNN models into 4-bit or lower format to reduce the model… read more here.

Keywords: quantization; low bit; cnn; tex math ... See more keywords

Residual Quantization for Low Bit-Width Neural Networks

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recommendations! Published in 2023 at "IEEE Transactions on Multimedia"

DOI: 10.1109/tmm.2021.3124095

Abstract: Neural network quantization has shown to be an effective way for network compression and acceleration. However, existing binary or ternary quantization methods suffer from two major issues. First, low bit-width input/activation quantization easily results in… read more here.

Keywords: network; residual quantization; quantization; low bit ... See more keywords

Pushing the Limit of Post-Training Quantization

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recommendations! Published in 2025 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"

DOI: 10.1109/tpami.2025.3554523

Abstract: Recently, post-training quantization (PTQ) has become the de facto way to produce efficient low-precision neural networks without long-time retraining. Despite its low cost, current PTQ works fail to succeed under the extremely low-bit setting. In… read more here.

Keywords: post training; limit; quantization; training quantization ... See more keywords

FPGA-Based Low-Bit and Lightweight Fast Light Field Depth Estimation

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recommendations! Published in 2025 at "IEEE Transactions on Very Large Scale Integration (VLSI) Systems"

DOI: 10.1109/tvlsi.2024.3496751

Abstract: The 3-D vision computing is a key application in unmanned systems, satellites, and planetary rovers. Learning-based light field (LF) depth estimation is one of the major research directions in 3-D vision computing. However, conventional learning-based… read more here.

Keywords: depth estimation; field; fpga based; estimation ... See more keywords

Learning-based phase imaging using a low-bit-depth pattern

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recommendations! Published in 2020 at "Photonics Research"

DOI: 10.1364/prj.398583

Abstract: Phase imaging always deals with the problem of phase invisibility when capturing objects with existing light sensors. However, there is a demand for multiplane full intensity measurements and iterative propagation process or reliance on reference… read more here.

Keywords: low bit; phase; bit depth; phase imaging ... See more keywords

A Class of Perfectly Secret Autonomous Low-Bit-Rate Voice Communication Systems

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recommendations! Published in 2025 at "Symmetry"

DOI: 10.3390/sym17030365

Abstract: This paper presents an autonomous perfectly secure low-bit-rate voice communication system (APS-VCS) based on the mixed-excitation linear prediction voice coder (MELPe), Vernam cipher, and sequential key distillation (SKD) protocol by public discussion. An authenticated public… read more here.

Keywords: voice; bit rate; rate; rate voice ... See more keywords