• Communications

• On Finite-state Vector Quantization for Noisy Channels by P. Yahampath and M. Pawlak


• Vector Quantization for Finite-State Markov Channels and Application to Wireless Channels by P. Yahampath and M. Pawlak

• Identification

• On Identification of Non-linear Two-Channel Hammerstein Systems by M. Pawlak and R. Song

• Non-parametric Identification of Nonlinearities in Block-oriented Systems by Orthogonal Wavelets with Compact Support by Z. Hasiewicz, M. Pawlak and P. Sliwinski

• Non-parametric Identification of Non-linear One and Two-Channel Systems by Multiscale Expansions by M. Pawlak and Z. Hasiewicz

• Imaging

• On the Recovery of a Function on a Circular Domain by M. Pawlak and S.X. Liao
  

• Edge Preserving Filtering of Images - A Unified Approach Based on Vertically Weighted Regression by M. Pawlak, E. Rafajowicz and A. Steland

• Geometrically Robust Image Watermarking on a Circular Domain by Y. Xin, S. Liao and M. Pawlak

• Non-parametric Learning

• Optimization of Centers' Positions for RBF Nets with Generalized Kernels by M. Pawlak and E. Rafajlowicz

• Vertical Box Control Chart for the Process Mean by M. Pawlak, E. Rafajlowicz and A. Steland

• Signal Analysis

• Multi-channel Acquisition and Reconstruction of Bandlimited Signals by Thresholding by L.V. Nguyen and M. Pawlak

• Reconstruction of Bandlimited Signals from Noisy Data by Thresholding by L.V. Nguyen and M. Pawlak

• Signal Sampling and Recovery with Long-range Dependent Errors by M. Pawlak

• Postfiltering Versus Prefiltering for Signal Recovery from Noisy Samples by M. Pawlak, E. Rafajlowicz and A. Krzyzak

• Reconstruction of Bandlimited Signals from Noisy Data by Adaptive Thresholding by L.V. Nguyen and M. Pawlak

• Signal Sampling and Recovery Under Long-Memory Errors by M. Pawlak and U. Stadtmuller