6 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…
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…