Weifeng Liu

About the Author

Weifeng Liu is the author of Kernel Adaptive Filtering: A Comprehensive Introduction (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control), a specialized work exploring the principles, methods, and applications of adaptive learning in signal processing. With a focus on the relationship between kernels, filtering, and intelligent systems, Liu’s writing helps connect theoretical foundations with practical problem-solving. The book is suited to researchers, graduate students, and professionals seeking a deeper understanding of nonlinear adaptive algorithms and their role in communications, control, and data-driven technologies. Liu’s work reflects a clear commitment to advancing accessible, technically grounded scholarship.