Sparse FIR filter design and prediction

• Main Author: Zhao, Heng
• Other Authors: Yu Yajun
• Format: Theses and Dissertations
• Language: English
• Published: 2015
• Subjects: DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
• Online Access: http://hdl.handle.net/10356/62158
• Institution: Nanyang Technological University

In digital filter design, sparse filters have been suggested as an efficient structure to reduce the implementation and computational cost. In a sparse filter, a considerable number of its coefficients are set to zero; this means its non-zero coefficients are significantly less than traditional non-...