Results 271 to 280 of about 1,240,549 (346)

Quantization Noise Reduction by Digital Signal Processing-Assisted Analog-to-Digital Converter for In-Band Full-Duplex Systems

open access: closedIEEE Transactions on Wireless Communications, 2022
In-band full-duplex (IBFD) systems are attracting attention as a key technology for ideally doubling channel capacity for beyond 5G and 6G. First, we propose an analytical model of the effect of N-bit analog-to-digital converter (A/D) quantization noise ...
Keiichi Mizutani, Hiroshi Harada
semanticscholar   +3 more sources

All-optical signal processing for 16-QAM using four-level optical phase quantizers based on phase sensitive amplifiers

open access: closed39th European Conference and Exhibition on Optical Communication (ECOC 2013), 2013
The potential of four-level optical phase quantizers towards coherent processing of advanced modulation formats such as 16-QAM is proposed and numerically demonstrated. The work shows that phase quantization can demultiplex 16-QAM into two QPSK signals enabling sub-channel switching and optical regeneration of 16-QAM modulation formats.
Adonis Bogris, D. Syvridis
semanticscholar   +3 more sources

Signal Quantization Effects on Acquisition Process of GPS Receiver: The Analysis and Simulation

open access: closed2008 Congress on Image and Signal Processing, 2008
Signal quantization levels can have significant impact on the performance of a GPS receiver, especially in the present of the interference. In this paper, signal quantization model for estimating interference suppression of the correlator output and evaluating the performance of GPS receiver is presented.
Zhe He, Chuanrun Zhai, Xingqun Zhan
openalex   +2 more sources

Phase quantized SAR signal processing: theory and experiments

open access: closedIEEE Transactions on Aerospace and Electronic Systems, 1999
A complete theory of synthetic aperture radar (SAR) processing from phase-only data is presented, for both analogue and coded raw signals and reference functions. Appropriate processing architectures are presented as well as quality indexes to judge performance of the selected coding. The analysis encompasses both images and interferometric fringes for
Giorgio Franceschetti   +2 more
openalex   +2 more sources

A Framework for Interval Quantization and Application to Interval Based Algorithms in Digital Signal Processing

open access: closedFundamenta Informaticae, 2011
In this article, we use the interval mathematics and targeted rounding by specific functions to establish a framework for interval quantization. The function approximation FId, that maps x to an interval [x1, x2] such that x1 is the largest floating point number less than or equal to x and x2 is the smallest floating point number greater than or equal
Fabiana T. Santana   +4 more
openalex   +3 more sources

Asymptotic optimization of multilevel quantization for a signal processing system containing an OR-ing device

open access: closedThe Journal of the Acoustical Society of America, 1987
In previous studies, performance models were developed for a system composed of quantizers followed by an OR-ing device and an accumulator. In this article, a method is presented to determine the breakpoints and the levels of the quantizer by maximizing the detector efficacy. Asymptotic and finite sample performances are presented and compared with the
Emad K. Al‐Hussaini
openalex   +2 more sources

Weak Signal Detection With Low-Bit Quantization in Colocated MIMO Radar

IEEE Transactions on Signal Processing, 2023
This paper addresses the weak signal detection problem in a massive colocated multiple-input multiple-output (MIMO) radar. To cope with the sheer amount of data produced by the large-scale antennas, a low-bit quantizer is introduced in the sampling ...
Shixing Yang   +4 more
semanticscholar   +1 more source

Graph Signal Compression by Joint Quantization and Sampling

IEEE Transactions on Signal Processing, 2022
Graph signals arise in various applications, ranging from sensor networks to social media data. The high-dimensional nature of these signals implies that they often need to be compressed in order to be stored and transmitted.
Pei Li   +4 more
semanticscholar   +1 more source

ADAPTATIVE SIGNAL SAMPLING AND SAMPLE QUANTIZATION FOR RESOURCE-CONSTRAINED STREAM PROCESSING

open access: closedProceedings of the First International Conference on Bio-inspired Systems and Signal Processing, 2008

openalex   +2 more sources

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