| 摘要 |
A household appliances infrared remote waveform replication learning method comprises: sampling data code of household appliances infrared remote waveform by means of a directly sampling method to obtain sampled data (S11); extracting a characteristic of the sampled data to obtain a characteristic value (S12); inversing a level with length less than the minimum characteristic value and reaching a preset range, and adding the level length of the inversed level to those of the former and later levels so as to removing burr of the household appliances infrared sound wave (S13), wherein former and later levels refer to the levels before and after the inversed level, and the minimum characteristic value is a characteristic value with the minimum level length. Deeply analyzing the remote code waveform of the air conditioner, and calculating the characteristic value of the air conditioner remote code by means of a method for statistical analysis of data, thereby solving the burring inference problem, compressing the over-long remote codes in great proportion, and improving the success rate of the infrared remote code replication. |
