clc; clearvars; % Read the file [y, Fs]=audioread('106miles.wav'); N=length(y); Nfft 2^nextpow2 (N); dt=1/Fs; t=0: dt:dt* (N-1); y=transpose(y); % Pad zeros y_nfft=zeros(Nfft,1); y_nfft (1:length(y)) =y; % Calculate Power (time domain) power_TDomainSignal=sum(y_nfft. ^2)/length (y_nfft); disp(['Power (time domain): num2str(power_TDomainSignal)]); % FFT Y=fft (y,Nfft)/Nfft; % Calculate power (frequency domain) power_FDomainSignal=sum(abs (Y).^2); disp(['Power (frequency domain): num2str(power_FDomainSignal)]); % Delete DC Y_NODC=Y; Y_NODC (1)=0; % IFFT y2=ifft (Y*Nfft, Nfft, 'symmetric'); y2_NoDC=ifft (Y_NoDC*Nfft, Nfft, 'symmetric'); % Calculate RMS RMSE_y2=rms(y_nfft'-y2); RMSE_Y2_NODC=rms (y_nfft'-y2_NODC); disp( ( 'RMS Error of Case 1: disp( ( 'RMS Error of Case 2: num2str(RMSE_y2_NODC)]); ' num2str(RMSE_y2)]); disp([ 'Mean of Original Siganl: num2str(mean (y_nfft))]); ' Matlab problems: Use the .wav (modified so the DC component is zero) file to generate a DSB-SC modulated waveform. Use a carrier frequency of 25KHz. Along with your code, turn in plots of the time domain signal and the frequency domain signal of the modulated carrier. Scale the axis appropriately. State your observations about the results. Suggestions: The .wav and the carrier wave vectors need to be the same length and must keep a relative time alignment; that is, have the sample interval. The matlab command 'resample' can be used to add points (up sample) the .wav file. That is, resample can be used to change the effective sample interval of the original file.

3. Some GPS receivers use 1 bit ADCS (Analog-to-digital Converters) to sample and quantize the signal i.e. the output of the ADC is simply 2 quantization levels: -1 or +1. This is typically done to save on power. (a) What is the quantization SNR? How does it compare to typical thermal noise SNR of a GPS signal before correlating with the CDMA code? (b) Justify, how come it is possible to sample the signal using a single bit and still get good performance.

A PCM based system uses Companding. Is Companding introduced because: Select one: O a. O b. Noise has more effect on low signal levels than on large signal levels, and Companding helps to reduce this. Human speech is very random AWGN noise is removed by Companding C. Noise from quantisation is removed by Companding O d.

Determine the binary values for which the following SOP expression is equal to 1: XYZ + XYZ + XYZ + XYZ + XYZ Is this a standard SOP expression?

Perform the following functions:a. What will be the parity of the data signal to send as even parity:10100111001b. (0101)BCD = (---?---)2 = (---?---)Excess-3 = (---?---)Grayc. How to represent following numbers in signed representation:1. (-78)102. (-19)10

Problem 1(a). Given the BIT circuit helow determine the voltages at the base and collector, and Ihe currents at the base and emitler. Assume 8- 120. (10 poinis) 15V R-6k Ru:- 90k lu Va Ra 45k Re- 4k Ans. Va In- Ve- Problem 1(b). Using the same circuit given in Problem 1, assume B= z (infinity). calculate the collector voltage and emitter curent. (S points) Ars. Ve=

In this chapter we proved that aliasing occurs when an analog signal is discretized.Can aliasing occur with purely analog signals? In other words, suppose we have apurely analog circuit (as opposed to a digital computer; you could call such a circuitan analog computer). Is it possible for aliasing to occur in this case? If so given anexample? If not provide a proof