i need a matlab code to plot both the input and output signals for the question 6.2-6 ( figure 2.8-4(b) )
6.2-4 A message signal m(r) is normalized to peak voltages of 1 V. The average message power equals 20 mW. To transmit this signal by binary PCM without compression uniform quantization is adopted. If the SONR is required to be at least 43 dB, determine the minimum number of bits required to code the uniform quantizer. Determine the SNR obtained with this quantizer. 6.2-5 Repeat Prob. 6.2-4 if the message signal is given by Fig. P2.8-2(d). 6.2-6 Repeat Prob. 6.2-4 if the message signal is of the form in Fig P2.8-4(b). 6.2.7 Repeat Prob. 62-4 if a -law comp andor is applied with -100 to achieve a nonuniform quantizer Figure P.2.8-2 id Figure P 2.8-4 MATLAB: Perfom problems 6.2-5, 6.2-6, and 6.2-7 using MATLAB. For 6.2-5 and 6.2-6, you will need to plot the input signal (before PCM) and the reconstructed signal (PCM output) and compute the SQNR. For 6.2-6, use the two signals mentioned in 6.2-5 and 6.2-6 in order to perform the compressed quantization In all these problems: 1. Choose the minimum number of PCM bits in order to attain the desired SQNR of 43dB for each given signal dynamic range 2. Plot both the PCM input and output signals i.e, the input signals defined in Problems 6.2-5 and 6.5-6 and the reconstructed signals.) 3. Estimate the SQNR using the PCM MATLAB implementation 4. Estimate the SONR using the theoretical formulas and compare with MATLAB cstimations. 5. Write your theory, results, and conclusion in report form. Place all your MATLAB codes in an appendix at the end of the report. PLEASE DO NOT PUT COMPUTER CODES WITHIN THE MAIN TEXT. NO PRINTSCREENS PLEASE 6.2-4 A message signal m(r) is normalized to peak voltages of 1 V. The average message power equals 20 mW. To transmit this signal by binary PCM without compression uniform quantization is adopted. If the SONR is required to be at least 43 dB, determine the minimum number of bits required to code the uniform quantizer. Determine the SNR obtained with this quantizer. 6.2-5 Repeat Prob. 6.2-4 if the message signal is given by Fig. P2.8-2(d). 6.2-6 Repeat Prob. 6.2-4 if the message signal is of the form in Fig P2.8-4(b). 6.2.7 Repeat Prob. 62-4 if a -law comp andor is applied with -100 to achieve a nonuniform quantizer Figure P.2.8-2 id Figure P 2.8-4 MATLAB: Perfom problems 6.2-5, 6.2-6, and 6.2-7 using MATLAB. For 6.2-5 and 6.2-6, you will need to plot the input signal (before PCM) and the reconstructed signal (PCM output) and compute the SQNR. For 6.2-6, use the two signals mentioned in 6.2-5 and 6.2-6 in order to perform the compressed quantization In all these problems: 1. Choose the minimum number of PCM bits in order to attain the desired SQNR of 43dB for each given signal dynamic range 2. Plot both the PCM input and output signals i.e, the input signals defined in Problems 6.2-5 and 6.5-6 and the reconstructed signals.) 3. Estimate the SQNR using the PCM MATLAB implementation 4. Estimate the SONR using the theoretical formulas and compare with MATLAB cstimations. 5. Write your theory, results, and conclusion in report form. Place all your MATLAB codes in an appendix at the end of the report. PLEASE DO NOT PUT COMPUTER CODES WITHIN THE MAIN TEXT. NO PRINTSCREENS PLEASE
