Please Note Solve these with matlab code no other is acceptable if u cant do with matlab then don't touch otherwise I will give bad review clearly 1. Add the script to calculate the Signal-to-Noise Ratio (dB) SNR (in dB) = 10 logio(Power of Digital Signal / Power of QE) Where Quantization Error (QE) = (Digital Sample - Analog Sample) Signal power: - ly Hint: Use the sum (), length() & log10 () functions. 2. Set sinewave frequency to 10 Hz, sample frequency to 100 Hz and run the code for different values of B and fill the table: Quantization Bits, B SNR (dB) 3 4 5 Theoretically, the max (Best scenario), SNR should be 6 times the number of bits Please Note Solve these with matlab code no other is acceptable if u cant do with matlab then don't touch otherwise I will give bad review clearly 1. Add the script to calculate the Signal-to-Noise Ratio (dB) SNR (in dB) = 10 logio(Power of Digital Signal / Power of QE) Where Quantization Error (QE) = (Digital Sample - Analog Sample) Signal power: - ly Hint: Use the sum (), length() & log10 () functions. 2. Set sinewave frequency to 10 Hz, sample frequency to 100 Hz and run the code for different values of B and fill the table: Quantization Bits, B SNR (dB) 3 4 5 Theoretically, the max (Best scenario), SNR should be 6 times the number of bits