Abstract
A method with a genetic algorithm (GA) to quantize filter coefficients is proposed. The proposed method searches a population of the quantized filters for the optimal quantized filter which retains the frequency characteristic of a reference filter, by using the GA. In order to establish this method, we decide how to execute the following GA procedures: representation of strings; fitness (objective function); reproduction; crossover and mutation. The experimental results are included to verify that the proposed method can obtain the filter with better frequency characteristic than ones which the traditional quantization methods, such as to round off, round up, and round down, provides.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
