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Digital Image Processing MCQs

Digital Image Processing MCQ Questions - Topic

Sampling and Fourier Transform of Sampled Function MCQ with Answers PDF

Sampling and Fourier Transform of Sampled Function Multiple Choice Questions (MCQ), Sampling and Fourier Transform of Sampled Function quiz answers PDF with digital image processing live worksheets for online degrees. Solve filtering in frequency domain Multiple Choice Questions and Answers (MCQs), Sampling and Fourier Transform of Sampled Function quiz questions for online college courses. Sampling and Fourier Transform of Sampled Function Interview Questions PDF: extension to functions of two variables, 10d discrete fourier transform, filtering concepts in dip test prep for top computer science schools.

"The band limited function can be recovered from its samples if the acquired samples are at rate twice the highest frequency, this theorem is called" MCQ PDF on sampling and fourier transform of sampled function with choices sampling theorem, sampling theorem, sampling theorem, and sampling theorem for online college courses. Solve sampling and fourier transform of sampled function quiz questions for merit scholarship test and certificate programs for computer science associate degree.

MCQs on Sampling and Fourier Transform of Sampled Function Quiz

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

sampling theorem
sampling theorem
sampling theorem
sampling theorem

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

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

MCQ: The sampled frequency less than the nyquist rate is called

under sampling
over sampling
critical sampling
nyquist sampling

MCQ: The effect caused by under sampling is called

smoothing
sharpening
summation
aliasing

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

correlation
convolution
Fourier transform
fast Fourier transform