780 citations · 1.6k across the 54 of their papers we have counts for
9 papers · 1 filter
A Novel Brain Decoding Method: a Correlation Network Framework for Revealing Brain Connections
Siyu Yu, Nanning Zheng, Yongqiang Ma +2
Brain decoding is a hot spot in cognitive science, which focuses on reconstructing perceptual images from brain activities. Analyzing the correlations of collected data from human…
Diffusion Adaptation Framework for Compressive Sensing Reconstruction
Yicong He, Fei Wang, Shiyuan Wang +1
Compressive sensing(CS) has drawn much attention in recent years due to its low sampling rate as well as high recovery accuracy. As an important procedure, reconstructing a sparse…
Bias-Compensated Normalized Maximum Correntropy Criterion Algorithm for System Identification with Noisy Input
Wentao Ma, Dongqiao Zheng, Yuanhao Li +2
This paper proposed a bias-compensated normalized maximum correntropy criterion (BCNMCC) algorithm charactered by its low steady-state misalignment for system identification with n…
Mean-Square Performance Analysis of Noise-Robust Normalized Subband Adaptive Filter Algorithm
Yi Yu, Haiquan Zhao, Badong Chen +2
This paper studies the statistical models of the noise-robust normalized subband adaptive filter (NR-NSAF) algorithm in the mean and mean square deviation senses involving transien…
Quantized Minimum Error Entropy Criterion
Badong Chen, Lei Xing, Nanning Zheng +1
Comparing with traditional learning criteria, such as mean square error (MSE), the minimum error entropy (MEE) criterion is superior in nonlinear and non-Gaussian signal processing…
Associations among Image Assessments as Cost Functions in Linear Decomposition: MSE, SSIM, and Correlation Coefficient
Jianji Wang, Nanning Zheng, Badong Chen +1
The traditional methods of image assessment, such as mean squared error (MSE), signal-to-noise ratio (SNR), and Peak signal-to-noise ratio (PSNR), are all based on the absolute err…