What is the Convolution of a Unit Step Function and an Exponential Function?

In summary, convolution is a mathematical operation that combines two functions to create a third function. It is important in mathematics and science, used in fields such as signal processing and image processing. Convolution differs from multiplication in its operation and can be explained using a real-life example of sound recording and playback. In image processing, convolution is used to manipulate images by convolving them with specific filters.
  • #1
Quincy
228
0

Homework Statement


h(t) = u(t) (the unit step function)

x (t) = e-t

The Attempt at a Solution



There is only one interval where the two functions overlap, and that's from 0 to t.

The integral from 0 to t of e-[itex]\tau[/itex] d[itex]\tau[/itex] = -e-t

Doesn't look right to me... what am I doing wrong?

EDIT: This is discrete convolution, by the way.
 
Last edited:
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  • #2
e0=1
 

FAQ: What is the Convolution of a Unit Step Function and an Exponential Function?

What is the definition of convolution of two functions?

The convolution of two functions is a mathematical operation that combines two functions to create a third function. It is represented by the symbol "*", and is defined as the integral of the product of the two functions after one is reversed and shifted. In simpler terms, it is a way to combine two functions to create a new function.

What is the importance of convolution in mathematics and science?

Convolution is a fundamental concept in mathematics and science that is used in many different fields, including signal processing, image processing, and probability theory. It allows us to describe the relationship between two functions and is often used to solve complex problems and equations.

How is convolution different from multiplication?

While convolution and multiplication both involve combining two functions, they differ in their operations. Multiplication is a point-wise operation that takes two functions and multiplies their corresponding points, while convolution involves shifting and summing the product of the two functions over a range of values.

Can you explain the concept of convolution using a real-life example?

One real-life example of convolution can be seen in sound recording and playback. When recording a sound, the microphone picks up the sound waves and converts them into an electrical signal, which can be represented by a function. When playing back the recorded sound, the speaker converts the electrical signal back into sound waves, which can also be represented by a function. The convolution of the two functions (the recorded signal and the speaker response) results in the actual sound that we hear.

How is convolution used in image processing?

In image processing, convolution is used to blur, sharpen, and enhance images. This is done by convolving the image with a specific filter, which is a function that defines how each pixel in the image is affected by its neighboring pixels. By using different filters, we can manipulate the image and achieve different visual effects.

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