1 citations · 1 across the 11 of their papers we have counts for
11 papers
Generator-Guided Inverse Sampling for Lévy-Driven Generative Models
Tianfu Qi, Jun Wang, Jun Zhang
This paper studies inverse sampling for Lévy-driven generative models from the perspective of Markov generators. Unlike conventional diffusion models, Lévy-driven dynamics involve…
Unsupervised Online Channel Estimation for High-Mobility OFDM via Implicit Neural Representation
Bohao Shi, Tianfu Qi, Xiaonan Chen +1
Accurate channel estimation remains challenging in high-mobility wireless systems because Doppler shifts induce severe inter-carrier interference (ICI) in Orthogonal Frequency Divi…
Cutoff Rate Bounds and Constellation Shaping under Mixed Gaussian-Impulsive Noise
Tianfu Qi, Jun Wang
Mixed noise, composed of white Gaussian noise (WGN) and impulsive noise (IN), appears in numerous communication scenarios and can severely degrade system performance. In this paper…
Polarization Decomposition and Its Applications
Tianfu Qi, Jun Wang
The polarization decomposition of arbitrary binary-input memoryless channels (BMCs) is studied in this work. By introducing the polarization factor (PF), defined in terms of the co…
Channel Polarization under Channel Noise with Memory
Tianfu Qi, Jun Wang
The channel polarization behavior of polar codes under noise with memory is investigated. By introducing a genie-aided channel model, we first show that the polarized subchannels s…
Communications under Bursty Mixed Gaussian-impulsive Noise: Demodulation and Performance Analysis
Tianfu Qi, Jun Wang, Zexue Zhao
This is the second part of the two-part paper considering the communications under the bursty mixed noise composed of white Gaussian noise and colored non-Gaussian impulsive noise.…
A Statistical Model of Bursty Mixed Gaussian-impulsive Noise: Model and Parameter Estimation
Tianfu Qi, Jun Wang
Non-Gaussian impulsive noise (IN) with memory exists in many practical applications. When it is mixed with white Gaussian noise (WGN), the resultant mixed noise will be bursty. The…
Capacity Bounds and Low-Complexity Constellation Shaping under Mixed Gaussian-Impulsive Noise
Tianfu Qi, Jun Wang
This paper investigates the bounds on channel capacity and constellation shaping under memoryless mixed noise, which is composed of impulsive noise (IN) and white Gaussian noise (W…
Communication under Mixed Gaussian-Impulsive Channel: An End-to-End Framework
Chengjie Zhao, Jun Wang, Wei Huang +2
In many communication scenarios, the communication signals simultaneously suffer from white Gaussian noise (WGN) and non-Gaussian impulsive noise (IN), i.e., mixed Gaussian-impulsi…
Parameter Estimation of Mixed Gaussian-Impulsive Noise: An U-net++ Based Method
Tianfu Qi, Jun Wang, Xiaonan Chen +1
In many scenarios, the communication system suffers from both Gaussian white noise and non-Gaussian impulsive noise. In order to design optimal signal detection method, it is neces…
Knowledge Graph Based Waveform Recommendation: A New Communication Waveform Design Paradigm
Wei Huang, Tianfu Qi, Yundi Guan +2
Traditionally, a communication waveform is designed by experts based on communication theory and their experiences on a case-by-case basis, which is usually laborious and time-cons…