A constraint optimization of low-delay and low-operation driven FIR digital filters for big data signal processing

作者：Hirakawa Tomohiro; Nakamoto Masayoshi^*

来源：Electronics and Communications in Japan, 2018, 101(8): 43-51.

DOI：10.1002/ecj.12089

• big data signal processing
• FIR digital filters
• low delay
• low operation

In big data signal processing system, low-delay and low-operation driven digital filters are required for large amounts of data processing. We introduce a design method for low-delay FIR (finite impulse response) filters with semi-sparse coefficients. The semi-sparse coefficients stand for to have some 0 +/- 1 values with real values. The semi-sparse coefficients lead to reduction of number of multipliers. We show the design problem of the filters are formulated in a constraint optimization problem. Also, we propose a design algorithm to solve the design problem. Using the filters, the number of multipliers can be reduced. Finally, we present examples to demonstrate the effectiveness of the proposed method.

• 出版日期2018-8