'Order hold' diaporamas de présentation

On the Importance of Quantized State Systems in Applied Mathematics

551 views • 32 slides

Time and Frequency Characterization of Signals & Systems

Time and Frequency Characterization of Signals & Systems. Frequency Domain Characterization through multiplication of Fourier Transform of input signal and system frequency response. ( Transfer Function). Time Domain Characterization through convolution of input signal

644 views • 26 slides

Sampling 7.1 Introduction

Sampling 7.1 Introduction. Sampling 7.1 Introduction convert a continuous-time signal to a discrete-time signal, process the discrete-time signal using a discrete-time system, and then convert back to continuous time. Sampling 7.1 Introduction The Sampling theorem

507 views • 22 slides

Image processing

Image processing. Second lecture. Image. Image Representation We have seen that the human visual system (HVS) receives an input image as a collection of spatially distributed light energy; this is form is called an optical image. Optical images are the type we deal with every

344 views • 21 slides

Signals and Systems Fall 2003 Lecture #13 21 October 2003

Signals and Systems Fall 2003 Lecture #13 21 October 2003. 1. The Concept and Representation of Periodic Sampling of a CT Signal 2. Analysis of Sampling in the Frequency Domain 3. The Sampling Theorem —the Nyquist Rate 4. In the Time Domain: Interpolation

308 views • 16 slides

Digital Control Systems

Digital Control Systems. Joel Klooster ENGR 315 Dec 5, 2001. Continuous vs. Discrete Time. Improved sensitivity Use digital components Control algorithms easily modified Many systems inherently digital. Develop complex math algorithms Lose information during conversions.

594 views • 14 slides

Digital Control Systems

Digital Control Systems. Joel Klooster ENGR 315 Dec 5, 2001. Continuous vs. Discrete Time. Improved sensitivity Use digital components Control algorithms easily modified Many systems inherently digital. Develop complex math algorithms Lose information during conversions.

367 views • 14 slides

Lecture 10: Sampling Discrete-Time Systems

Lecture 10: Sampling Discrete-Time Systems. 4 Sampling & Discrete-time systems (2 lectures): Sampling theorem, discrete Fourier transform Specific objectives for today: Sampling of a continuous-time signal Reconstruction of the signals from its samples Sampling theorem & Nyquist rate

575 views • 13 slides

Lecture 10: Sampling Discrete-Time Systems

Lecture 10: Sampling Discrete-Time Systems. 4 Sampling & Discrete-time systems (2 lectures): Sampling theorem, discrete Fourier transform Specific objectives for today: Sampling of a continuous-time signal Reconstruction of the signals from its samples Sampling theorem & Nyquist rate

261 views • 13 slides

Sampling and Reconstruction

Sampling and Reconstruction. Last time we Viewed aperiodic functions in terms of frequency components via Fourier transform Gained insight into the meaning of Fourier transform through comparison with Fourier series

498 views • 12 slides

CT?DT

394 views • 11 slides