MATLAB Time Series Modeling, Prediction, and Implementation with Program Code

When performing the following operations, please expand your implementation by following these steps while ensuring you preserve the core concepts. 1) First, generate a .wav file by encoding your contact telephone number using DTMF signaling in MATLAB. This involves creating dual-frequency tones for each digit (0-9, *, #, A-D) where each digit is represented by a unique combination of two sinusoidal frequencies. The implementation typically uses MATLAB's signal generation functions like `sin()` for tone creation and `audiowrite()` for saving the audio file. 2) Next, decode the generated DTMF file and extract the encoded information. This requires implementing a detection algorithm that analyzes the audio signal to identify the characteristic frequency pairs. Common approaches include using the Goertzel algorithm for efficient frequency detection or FFT analysis to detect the presence of specific DTMF frequencies in each time segment. By following these steps, you can expand your implementation while maintaining the fundamental concepts of DTMF signal processing and time series analysis in MATLAB.