Hi can do this for me thank you

With explanation and step by step.

Thank you !

Run following commands once, before starting your Matlab programming session to generate true random numbers: sRandStream.create( mt19937ar,seed'sum(100 clock)): Q1 By simulating WGN in Matlab, find the probability that a WGN variable will be larger than valuez. W GN has mean and standard deviation Run the following codes to obtain the values for your simulation. These values should be noted in your solution -4-rand(1,1) ; . 3 ; " -1 + 2*rand(1,1) ; function. You also need to verify your results by evaluating the probability using e (See problem in page 13 of notes Q2 Explain the effect of following Matlab command: flour(20erund(1.12V-IR write necessary Matlab codes to verify the circular shiftieg preperty of DFT noted in page Is. The should be daborated using figurs sequence should be chosen from the use of above Matlab command. The verification (ii) Generate 2 random sequences each of length 6 by appropriately using the Matlab command in part (). Use these sequences to verify the sircular convelution property of DFT (as noted in page 21). The verification should be daborated using sequence values and or plots Q3 Generate 2 random sequences of length 5 and 12 using the Matlab commands as in Q2. Obtain the linear convolution of the sequence using cenv ) function. Using Matlab ccorrv ( function. explain and show how linear convolution can be obtained using ircular cenvolution. (i) Write Matlab codes to elaborate how above linear con olution could be obtained using DFT and IDFT. You should show codes, sequences and results 04 Simulation: Modify the program in Example 2.8 for a zero mean transmitted pulse of total length T, as shown below. (The pulse amplitude levels are +1 and -1.) Generate ero mean AWGN using randn ( function. Sdect noise variance such that the noise effect is clearly jihr in the output plot as in Figure 2.5 (in page 22). Obtain the matched filter outputShun plots similar to those obtained with Example 2.8. Generate a set of 100 random trans mitted bits of 0 and 1.(In a similar way as done in Q2.)Obtain sampled matched filter output (at tT) for each trams mitted bit. Plot the generated sequence and matched filer output (100 values) in stem plots. Comment on your results with respect to the effect of noise. Q5 (i) Consider the following continuous time signal with a 0Find its Fourier transform (FT) 0, t