Teaching Mode of Japanese Intensive Reading in Colleges and Universities Based on Cloud Computing Intelligent Platform

Abstract

In order to improve the effect of Japanese teaching in colleges and universities, this study uses the variance of the bias error of the data channel of the cloud transmission platform to represent the intensity of the bias error between the data channels of the cloud transmission platform. Moreover, this study uses the perfect reconstruction filter algorithm to compensate for the frequency-dependent mismatch error of the broadband signal, obtains the value at the ideal sampling point from the sampling sequence estimation, and then corrects the delay deviation. In addition, this study constructs the overall structure of the Japanese intensive reading teaching system in colleges and universities based on the network cloud platform, proposes a method for solving the correction filter, and conducts simulation verification. Finally, this study constructs a teaching system for Japanese intensive reading in colleges and universities based on the network cloud platform. Through experimental research, it is verified that the teaching mode of Japanese intensive reading in colleges and universities based on the cloud computing intelligent platform has certain feasibility.