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Digital Signal Transmission

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Digital Signal Transmission refers to the process of sending digital data over a communication medium, utilizing discrete signals to represent information. This field encompasses the techniques and technologies involved in encoding, transmitting, and decoding digital signals, ensuring integrity and efficiency in data communication across various platforms and networks.
lightbulbAbout this topic
Digital Signal Transmission refers to the process of sending digital data over a communication medium, utilizing discrete signals to represent information. This field encompasses the techniques and technologies involved in encoding, transmitting, and decoding digital signals, ensuring integrity and efficiency in data communication across various platforms and networks.

Key research themes

1. How do modulation formats impact the performance and complexity of digital signal transmission in optical fiber systems?

This research area investigates the interplay between different modulation formats (e.g., DP-QPSK, DP-16QAM, DP-64QAM, DP-256QAM) and their effects on signal quality, achievable information rates, nonlinear distortion behavior, and complexity requirements in optical fiber communications. Understanding these relationships informs the design of efficient compensation methods and modulation choices that optimize transmission capacity and computational resource utilization in high-speed optical networks.

Key finding: This paper establishes that nonlinear distortions in full-field digital back-propagation (DBP) are independent of modulation format, contrasting with electronic dispersion compensation and partial-bandwidth DBP cases where... Read more
Key finding: The work comparatively analyzes various coherent modulation formats, such as m-PSK and m-QAM variants, emphasizing their spectral efficiency, nonlinear impairments management, and sensitivity for high-speed optical fiber... Read more
Key finding: This experimental study demonstrates a 100 Gbps free-space optical (FSO) transmission system employing a virtual carrier assisted self-coherent approach with a low-resolution 3-bit DAC. It shows that advanced modulation using... Read more

2. What are the effective techniques for electronic dispersion compensation and nonlinear equalization in short-reach digital optical interconnects?

This theme explores signal processing strategies aimed at mitigating chromatic dispersion and nonlinear inter-symbol interference in intensity modulation/direct detection optical links. It focuses on transmitter and receiver-based digital equalization employing methods such as Gerchberg-Saxton algorithms and functional link neural networks, assessing their joint capabilities to compensate linear and nonlinear distortions efficiently for high-data-rate transmission over fiber spans up to tens of kilometers.

Key finding: The paper demonstrates that combining transmitter-side linear power fading pre-compensation using Gerchberg-Saxton-based finite impulse response (FIR) filtering with receiver-side functional link neural network (FLNN)... Read more

3. How can advanced modulation classification improve digital signal interpretation under low carrier-to-noise ratio conditions?

This research focuses on accurate and noise-robust classification of digital modulation parameters (modulation type, carrier frequency, bit rate) using signal models derived from autoregressive spectrum analysis. Effective modulation classification is critical for military communications and cognitive radio applications where intercepted signals may be weak or noisy. Techniques utilizing instantaneous frequency and bandwidth parameters extracted from autoregressive polynomial roots demonstrate enhanced parameter estimation under challenging conditions.

Key finding: The paper proposes a modulation classification technique based on an autoregressive spectrum model that computes instantaneous frequency (IF) and bandwidth (IB) parameters from the roots of the AR polynomial. The bandwidth... Read more

4. What are the combined optical and wireless transmission performance considerations in fiber-radio systems?

This theme addresses the integration of fiber optic and wireless technologies in hybrid communication links to leverage the strengths of both mediums: bandwidth and interference immunity of fiber and user mobility of wireless. It examines numerical simulation frameworks considering optical fiber nonlinearities, chromatic dispersion, and wireless channel impairments such as multipath fading, additive noise, and interference. Performance metrics like bit error rate (BER) and signal-to-interference-plus-noise ratio (SINR) are used to evaluate system quality for applications spanning cellular telephony and IoT.

Key finding: Using VPI Photonics and MATLAB, this study simulates a digital 2.4 GHz signal transmitted over 25 km single-mode fiber linked to a wireless channel modeled for multipath fading, AWGN, and co-channel interference. Statistical... Read more

All papers in Digital Signal Transmission

In this study, the performance of the numerical integration (NI) approximate method for the estimation of carrier-phase offsets in digital passband communication systems using Quadrature Phase Shift Keying (QPSK) modulation technique was... more
This paper presents the performance of MATLAB and SIMULINK simulation tools based on the numerical integration (NI) approximate method for the estimation of carrier-phase offsets in digital communication systems using Quadrature Phase... more
In this study, the performance of the numerical integration (NI) approximate method for the estimation of carrier-phase offsets in digital passband communication systems using Quadrature Phase Shift Keying... more
In this study, the performance of a SIMULINK-based communication phase models with numerical integration (NI) approximate method and Low density parity check (LDPC) coding for the estimation of carrier-phase offsets in digital passband... more
• The main function of the physical layer is moving information in the form of electromagnetic signals across a transmission media.
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