Variable Speed Frequency Hopping Signal Sorting Algorithm for Intelligent Classroom Interactive Communication Network
Variable speed frequency hopping signal sorting algorithm is studied for intelligent classroom interactive communica-tion networks to ensure smooth communication between intelligent classroom interactive communication networks,and improve the quality of intelligent teaching.Using the short time Fourier transform(STFT),the mixed signal containing the network variable speed frequency hopping source signal and noise signal is converted to the time frequency domain,and combined with an adaptive threshold denoising method,the internal noise in the time frequency domain mixed signal is removed.After the de-noised time-frequency domain mixed signal is constructed by frame overlap,a multi-frame overlap frame mixed signal is ob-tained.After blind source separation of overlap frame mixed signals,a multi-frame overlap frame separated variable speed fre-quency hopping signal is obtained.By comparing the overlap rates,the overlap portions of the same source signals are re-moved,and the remaining portions are spliced to obtain the same source sorted variable speed frequency hopping signals.This algorithm is applied to the interactive communication network between smart classrooms,the application result shows that it can convert the initial mixed signal of the network to the time frequency domain,achieve the sparse representation of the mixed signal,effectively eliminate the noise in the time frequency domain mixed signal,construct several frames of overlap frame sig-nals for the denoised time frequency domain mixed signal,and effectively separate such signals to obtain overlap frame separa-ted variable speed frequency hopping signals.Based on this,the sorting of the same source variable speed frequency hopping signals is finally completed.
intelligent classroominteractive communication networkvariable speed frequency hopping signalaadaptive de-noisingblind source separationframe overlap
万方数据
维普
