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Ideal filters - PowerPoint PPT Presentation

Digital Communication I: Modulation and Coding Course

Spring - 2013 Jeffrey N Denenberg Lecture 1a: Course Introduction. Digital Communication I: Modulation and Coding Course. Course information. Scope of the course Digital Communication systems Practical information Course material

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554 views • 26 slides

Chapter 6. Sampling and Pulse Modulation

Chapter 6. Sampling and Pulse Modulation. Husheng Li The University of Tennessee. Chopper Sampling . We introduce a switching function such that x_s (t)=x(t)s(t), where. Nyquist Criterion.

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472 views • 19 slides

Digital Signal Processing

Digital Signal Processing. Discrete Fourier Transform. Discrete Fourier Transform. Inverse Discrete Fourier Transform. Properties of DFT. DFT has the same number of datapoints as the signal The signal is assumed to be periodic with a period of N

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525 views • 11 slides

Applications of the Fourier Transform

Applications of the Fourier Transform. Dr. Ali Muqaibel EE207. Ideal Filters. Transfer functions Types: Low-pass, High-pass, Band-pass, Band-stop (band-reject) Ideal filters are not physically attainable. Low-pass filter (LPF). Non-causal . Example: Ideal Filters. Ideal band-pass filter.

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749 views • 4 slides

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Ideal filters - PowerPoint PPT Presentation

Digital Communication I: Modulation and Coding Course

Chapter 6. Sampling and Pulse Modulation

Digital Signal Processing

Applications of the Fourier Transform