Particle Swarm Optimization of Highly Selective Digital Filters over the Finite-Precision Multiplier Coefficient Space
نویسندگان
چکیده
Digital filters find wide variety of applications in modern digital signal processing systems [1, 2]. As a result of the recent progress in such systems, there is an ever growing demand for sharp transition band digital filters. These narrow transition bandwidth digital 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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