Laurier Flow

© 2024 LaurierFlow. All rights reserved.

AboutPrivacy



Course Reviews

No Reviews With Body Yet

MA 555

Continuous/Discrete Transforms

0%Liked

Easy

0%

Useful

0%

0 ratings

Properties of continuous and discrete Fourier transforms; the Sampling Theorem; Inverse Fourier Transforms and convolution; introduction to wavelet analysis; Fast Fourier Transform (FFT), Fourier-Cosine (COS) method, and other algorithms; Laplace transform. Applications will be selected from applied sciences and quantitative finance. Exclusions: MA355 or equivalent.

Properties of continuous and discrete Fourier transforms; the Sampling Theorem; Inverse Fourier Transforms and convolution; introduction to wavelet analysis; Fast Fourier Transform (FFT), Fourier-Cosine (COS) method, and other algorithms; Laplace transform. Applications will be selected from applied sciences and quantitative finance. Exclusions: MA355 or equivalent.

0%Liked

Easy

0%

Useful

0%

0 ratings

Properties of continuous and discrete Fourier transforms; the Sampling Theorem; Inverse Fourier Transforms and convolution; introduction to wavelet analysis; Fast Fourier Transform (FFT), Fourier-Cosine (COS) method, and other algorithms; Laplace transform. Applications will be selected from applied sciences and quantitative finance. Exclusions: MA355 or equivalent.


MA 555 Prerequisites

No Prerequisite Information Available

MA 555 Leads To

No Leads To Information Available

MA 555 Restrictions

Must be enrolled in one of the following Levels:

Graduate (GR)

MA 555

Continuous/Discrete Transforms

0%Liked

Easy

0%

Useful

0%

0 ratings

Properties of continuous and discrete Fourier transforms; the Sampling Theorem; Inverse Fourier Transforms and convolution; introduction to wavelet analysis; Fast Fourier Transform (FFT), Fourier-Cosine (COS) method, and other algorithms; Laplace transform. Applications will be selected from applied sciences and quantitative finance. Exclusions: MA355 or equivalent.

Properties of continuous and discrete Fourier transforms; the Sampling Theorem; Inverse Fourier Transforms and convolution; introduction to wavelet analysis; Fast Fourier Transform (FFT), Fourier-Cosine (COS) method, and other algorithms; Laplace transform. Applications will be selected from applied sciences and quantitative finance. Exclusions: MA355 or equivalent.

0%Liked

Easy

0%

Useful

0%

0 ratings

Properties of continuous and discrete Fourier transforms; the Sampling Theorem; Inverse Fourier Transforms and convolution; introduction to wavelet analysis; Fast Fourier Transform (FFT), Fourier-Cosine (COS) method, and other algorithms; Laplace transform. Applications will be selected from applied sciences and quantitative finance. Exclusions: MA355 or equivalent.


Course Schedule