Finite number of values of its unit sample response

Assignment Help Basic Statistics

Reference no: EM131834769

You are told that it is always possible to determine whether or not a causal all-pole filter is stable from a finite number of values of its unit sample response. For example, if H(z) is a pth-order all-pole filter, given h(n) for n = 0, l, ... , N, then the stability of H(z) may be determined. If this is true, explain the procedure and list any conditions that must · be placed on p or N. If false, explain why it cannot be done.

Reference no: EM131834769

Questions Cloud

Reflection coefficients for a two-pole model of a signal : The reflection coefficients for a two-pole model of a signal x(n) are r1 = 0.25 and r2 = 0.25 and the "modeling error" is ?2 = 9.

Prove that greedy approach to fractional knapsack problem : Prove that the greedy approach to the Fractional Knapsack problem yields an optimal solution.

Describe three features of the course environment : Write in one pagea one-sentence description of an undergraduate or graduate online psychology course you might teach in the future.

Analyze your algorithm and show results using order notation : Use the dynamic programming approach to write an algorithm for Exercise. Analyze your algorithm and show the results using order notation.

Finite number of values of its unit sample response : You are told that it is always possible to determine whether or not a causal all-pole filter is stable from a finite number of values of its unit sample respons

What is the worst-case time complexity of the given approach : Assuming the keys are already sorted, what is the worst-case time complexity of this approach? Justify your answer.

Modeled with the autocorrelation method : If one is modeling a signal x(n) whose transform, X(z), contains zeros, then an all-pole model may be used to effectively model a zero with an infinite

Evaluate the implications for operations management : Describe each of the selected organization's inventory methodologies and model(s), and any areas for improvement.

Unit variance white noise : If rx(0) = 1, rx(1) = 0.5, and rx(2) = 0.75, find the values of a(1), a(2), and b(0) in the following AR(2) model for x(n), x(n) + a(1)x(n - 1) + a(2)x(n - 2

User Account

All Pages