# Sampling and Fourier Transform of Sampled Function MCQs & Quiz Online PDF eBook Download

Sampling and fourier transform of sampled function multiple choice questions (MCQs), sampling and fourier transform of sampled function quiz answers to learn image processing online for image processing degree programs. Filtering in frequency domain MCQs, sampling and fourier transform of sampled function quiz questions and answers for online college courses. Learn discrete fourier transform of one variable, preliminary concepts, image interpolation and resampling, extension to functions of two variables, sampling and fourier transform of sampled function test prep for top computer science schools.

Learn filtering in frequency domain MCQ: band limited function can be recovered from its samples if acquired samples are at rate twice highest frequency, this theorem is called, with choices sampling theorem, sampling theorem, sampling theorem, and sampling theorem for online college courses. Practice merit scholarships assessment test, online learning sampling and fourier transform of sampled function quiz questions for competitive exams in computer science major for computer science associate degree.

## MCQs on Sampling and Fourier Transform of Sampled Function PDF eBook Download

MCQ: Band limited function can be recovered from its samples if acquired samples are at rate twice highest frequency, this theorem is called

- sampling theorem
- sampling theorem
- sampling theorem
- sampling theorem

A

MCQ: Any function whose Fourier transform is zero for frequencies outside finite interval is called

- high pass function
- low pass function
- band limited function
- band pass function

C

MCQ: Sampled frequency less than nyquist rate is called

- under sampling
- over sampling
- critical sampling
- nyquist sampling

A

MCQ: Effect caused by under sampling is called

- smoothing
- sharpening
- summation
- aliasing

D

MCQ: Product of two functions in spatial domain is what, in frequency domain

- correlation
- convolution
- Fourier transform
- fast Fourier transform

B