Filtering method for optimizing parameters by adopting genetic algorithm and nonlinear convex programming theory
A genetic algorithm, a technology for optimizing parameters, applied in transmission systems, electrical components, etc., can solve the problems affecting filter configuration flexibility, increasing design complexity, passband fluctuation, transition bandwidth stopband attenuation, group delay and other performance difficulties. To achieve simultaneous optimization and other problems
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[0071] First of all, it needs to be explained that the present invention relates to the application of computer technology in the field of mobile communication. During the implementation of the present invention, the application of multiple software function modules will be involved. The applicant believes that, after carefully reading the application documents and accurately understanding the realization principle and purpose of the present invention, combined with existing known technologies, those skilled in the art can fully implement the present invention by using their software programming skills. Everything mentioned in the application documents of the present invention belongs to this category, and the applicant will not list them one by one.
[0072] A kind of application example of the present invention is described in detail below in conjunction with accompanying drawing:
[0073] According to the GSM index, design the GSM digital wireless repeater.
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