1. This question concerns the dynamic programming algorithm for computing a binary tree, discussed in class in and in the notes. Suppose we are given the following data, consisting of 8 key values and the frequency with which each key is accessed: i Data pi 1 A 0.09 2 B 0.17 3 C 0.26 4 D 0.05 5 E 0.06 6 F 0.12 7 G 0.10 8 H 0.15 (a) For each i and j in the appropriate range, give the values of E[i, j] and root[i, j]. (b) Draw the optimal binary tree for the data given above. (c) What is the weighted lookup cost of the optimal binary tree

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Now you’re on your own. include a short summary of this section with plots in your lab report. write a matlab script file to do steps (a) through (d) below. include a listing of the script file with your report. 1 the soundsc(xx, fs) function requires two arguments: the first one (xx) contains the vector of data to be played, the second argument (fs) is the sampling rate for playing the samples. in addition, soundsc(xx, fs) does automatic scaling and then calls sound(xx, fs) to actually play the signal. mcclellan, schafer, and yoder, dsp first, 2e, isbn 0-13-065562-7. prentice hall, upper saddle river, nj 07458. c 2015 pearson education, inc. 4 mcclellan, schafer and yoder, signal processing first. prentice hall, upper saddle river, new jersey, 2003. c 2003 prentice hall. (a) generate a time vector (tt) to cover a range of t that will exhibit approximately two cycles of the 4000 hz sinusoids defined in the next part, part (b). use a definition for tt similar to part 2.2(d). if we use t to denote the period of the sinusoids, define the starting time of the vector tt to be equal to t , and the ending time as ct . then the two cycles will include t d 0. finally, make sure that you have at least 25 samples per period of the sinusoidal wave. in other words, when you use the colon operator to define the time vector, make the increment small enough to generate 25 samples per period. (b) generate two 4000 hz sinusoids with arbitrary amplitude and time-shift. x1.t / d a1 cos.2

What is the process in which the software development team compiles information to determine the final product