# Lesson_7 - Lesson 07 Lesson 7 Challenge 6 Lesson 7 Aliasing...

This preview shows pages 1–7. Sign up to view the full content.

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: Lesson 07 Lesson 7 Challenge 6 Lesson 7 Aliasing What is it? How do you measure it? Challenge 7 Lesson 07 Challenge 6 T minutes = 0.5*10 9 Bytes * 1/4 sample/Byte * 1/44100 seconds/sample * 1/60 minutes/second ~ 47.25 minutes (average lecture time). In an average semester = ( 36) 47.5 minute lectures = 18GBy storage Need compression: For real world voice and image signals, Fourier or Fourier like methods are used (MP3 uses Direct Cosine Transform inspired by the Fourier Transform) 0.5GBy 44.1kSa/s 4 Bytes/word Lesson 07 Sampling Theorem Sampling Theorem Revisited If x(t) is baseband limited from above by some f max , If x(t) is periodically sampled at some rate f s , where f s > 2∙f max ; T s =1/ f s Then x(t) can be reconstructed (interpolated) from the sample values x[kT s ]. Lesson 07 Sampling Modalities f max /2 is called the Nyquist frequency. Sampling modalities over sampling f s >> 2f max (common case) critical sampling f s = 2f max undersampled f s < 2f max Lesson 07 Let’s Give it a Test Oversampled Chirp Sweep :0-1,000Hz in 2 sec. Sample rate 8000 Lesson 07 Undersampled Sweep: 0-16,000Hz in 2 sec....
View Full Document

{[ snackBarMessage ]}

### Page1 / 29

Lesson_7 - Lesson 07 Lesson 7 Challenge 6 Lesson 7 Aliasing...

This preview shows document pages 1 - 7. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online