Particle Swarm Optimization of Highly Selective Digital Filters over the Finite-Precision Multiplier Coefficient Space

Digital filters find wide variety of applications in modern di gital signal processing systems [ 1, 2]. As a result of the recent progress in such systems, there is an ev er growing demand for sharp transition band digital filters. These narrow transition bandwidth dig ital filters are usually designed by using the frequency response masking (FRM) approach [ 3]. The computational efficiency of the FRM technique makes it suitable for different applications, e.g. in audio signal processing and data compression [ 4].

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