Calculate Step Impulse Response: y(n) = a*y(n-1) + K*b*x(n-1)+K*x(n)

In summary, the conversation discusses the calculation of the impulse response and step response for the function y(n) = a * y(n-1) + K * b * x(n-1) + K * x(n), where |a| < 1. The impulse response, h(n), is found to be [ka^n]u(n) and the step response can be obtained by integrating h(n). Additional hints are given for finding the step response.
  • #1
cutesteph
63
0
y(n) = a * y(n-1) + K * b * x(n-1) + K * x(n), where |a| < 1.

(a) Calculate its impulse response, h(n).
the homogenous equation is l^n-1(l-a) = 0 => 1 = a
so h(n) = [ka^n ] u(n)

(b) Calculate its step response.


I can't seem to find any examples online and my book says nothing about step responses. I am not sure where to start.
 
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  • #2
1. learn to use [itex]\LaTeX[/itex] here.
2. looks like homework.
3. except for [itex]x[0][/itex], if all other [itex]x[n][/itex] is zero, what would [itex]y[n][/itex] look like? (that might give you a hint about what [itex]h[n][/itex] might be.)
4. integrate [itex]h[n][/itex] to get the step response.
 

1. What is the purpose of calculating step impulse response?

The step impulse response is used to analyze the behavior of a system over time. It helps to understand how the system responds to a sudden change or "step" in input.

2. How is the step impulse response calculated?

The step impulse response can be calculated by recursively applying the given formula: y(n) = a*y(n-1) + K*b*x(n-1)+K*x(n). This means that the current output (y(n)) is dependent on the previous output (y(n-1)) and the current and previous inputs (x(n) and x(n-1)).

3. What do the variables a, b, and K represent in the formula?

The variable a represents the system's feedback gain, which determines how the previous output affects the current output. The variable b represents the system's feedforward gain, which determines how the current input affects the current output. The variable K is a scaling factor for the input, which can be used to adjust the sensitivity of the system.

4. How is the step impulse response affected by changing the values of a, b, or K?

Changing the values of a, b, or K will affect the behavior of the system. A higher feedback gain (a) will result in a slower response to the input, while a higher feedforward gain (b) will result in a faster response. Adjusting the scaling factor (K) will change the sensitivity of the system to the input.

5. What is the significance of the step impulse response in real-world applications?

The step impulse response is used in various fields of science and engineering, such as signal processing, control systems, and circuit analysis. It helps in understanding and predicting the behavior of systems and can be used to design and optimize systems for specific purposes.

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