#B_Sivasankari #Rakshana_S #Shanmathi_V #Subashree_N #Varsha_D #signalprocessing #fft #weatherprediction #gil #gilbert
Abstract
Identified the periodicity of the signals from the weather dataset. The weather dataset is taken from the data dot world. Dataset consists of 3192 months samples average land temperature of Australia. Applied the average land Temperature dataset to the FFT Algorithm after processing this algorithm our outcome will be in frequency domain. In frequency domain signal which has the highest peak power or Amplitude had particular frequency. The seasonality of the data was analyzed using Periodicity.
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