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###### Matching Pursuit (MP)

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Type

Home Work

Subject

Maths

### Question

The following BASIC code generates 10,000 values of a random variable X and calculates the sample average, the sample variance, and the fraction of sample values that lie in the interval (a, b]. Adapt this simulation program (you may use BASIC or any other language) to: 1. Calculate the values needed to fill in the table for E(X), V(X) and Xb) P(a ≤ < , where a and b are specified in Homework 0. Show all theoretical calculations. 2. For each case, on a separate page, draw the graph of the theoretical distribution function Fx(t), fill in the table describing Fx(t), and plot the simulation values given in the table on the same graph as the theoretical distribution function.
100 FOR i = 1 TO 10000
generate X
200 S1 = S1 + X 300 S2 = S2 + X^2 400 IF (X > a) AND (X <= b) THEN c = c + 1 500 NEXT i 600 PRINT S1/10000, S2/10000 –(S1/10000)^2, c/10000

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Tellus molestie nunc non blandit massa enim nec dui. Tellus molestie nunc non blandit massa enim nec dui. Ac tortor vitae purus faucibus ornare suspendisse sed nisi. Pharetra et ultrices neque ornare aenean euismod. Pretium viverra suspendisse potenti nullam ac tortor vitae. Morbi quis commodo odio aenean sed. At consectetur lorem donec massa sapien faucibus et. Nisi quis eleifend quam adipiscing vitae proin sagittis nisl rhoncus. Duis at tellus at urna condimentum mattis pellentesque. Vivamus at augue eget arcu dictum varius duis at. Justo donec enim diam vulputate ut. Blandit libero volutpat sed cras ornare arcu. Ac felis donec et odio pellentesque diam volutpat commodo. Convallis a cras semper auctor neque. Tempus iaculis urna id volutpat lacus. Tortor consequat id porta nibh.

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### Phil 340: Symbolic Logic

Task: Use the interpretation provided to symbolize and translate as indicated.  W:    Mia wakes up N:    Niska comes to the rescueL:    Leo knows what to doM:    Marshall has evil plansS:    Synths will achieve conscio ...

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### Matching Pursuit (MP)

Implement Matching Pursuit (MP) and Orthogonal Matching Pursuit (OMP) algorithms. b. Compute the coherence of D : µ = maxd,d0∈D|hd,d0i| c. Write a procedure that generates a vector x = Da by picking K random positions in a and sets those positions to random numbers (normal distribut ...

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