'Discrete time signal' diaporamas de présentation

Chapter 2

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Comp30291 D igital M edia P rocessing

Comp30291 D igital M edia P rocessing. Barry Cheetham barry@man.ac.uk www.cs.man.ac.uk/~barry/mydocs/Comp30291. Section 1 Introduction. Signal : time-varying measurable quantity whose variation normally conveys information.

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Chapter 4

Chapter 4. Digital Processing of Continuous-Time Signals. Outline. Sampling of Continuous-Time Signals Recovery of Analog Signals Implication of the Sampling Process Sampling of Bandpass Signals Analog Lowpass Filter Design. 4.1 Introduction.

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Signals and Systems.

CHAPTER 1. Signals and Systems. School of Computer and Communication Engineering, UniMAP Puan Nordiana Binti Mohamad Saaid dianams@unimap.edu.my. EKT 230. Signals and Systems. 1.1 What is a Signal ? 1.2 Classification of a Signals. 1.2.1 Continuous-Time and Discrete-Time Signals

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Discrete Time Periodic Signals

Discrete Time Periodic Signals. Definition:. A discrete time signal x[ n ] is periodic with period N if and only if. for all n. Meaning : a periodic signal keeps repeating itself forever!. Example: a Sinusoid. Consider the Sinusoid:. It is periodic with period since.

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CS3291 : Digital Signal Processing '04-05 Section 3 : Discrete-time LTI systems

CS3291 : Digital Signal Processing '04-05 Section 3 : Discrete-time LTI systems 3.1 Introduction: A discrete time system takes discrete time input signal { x[ n ] }, & produces an output signal { y[ n ] }.

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Fourier Representation of Signals and LTI Systems.

CHAPTER 3. Fourier Representation of Signals and LTI Systems. School of Computer and Communication Engineering, UniMAP Hasliza A Rahim @ Samsuddin. EKT 230. 3.0 Fourier Representation of Signals and LTI Systems. 3.1 Introduction.

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Introduction

1. CHAPTER. Introduction. B and a are real parameters. 1.6 Elementary Signals. ? 1.6.1 Exponential Signals. (1.31). Decaying exponential, for which a < 0 Growing exponential, for which a > 0.

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Signal Operations

Signal Operations. Basic Operation of the Signals. 1.3.1. Time Shifting 1.3.2 Reflection and Folding. 1.3.3. Time Scaling 1.3.4 Precedence Rule for Time Shifting and Time Scaling. Time Shifting.

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Introduction

DIGITAL SIGNAL PROCESSING. Introduction. Course information. Course information(C0ntd..). Discrete Time signal. Sequence x[n] as opposed to continuous time signals x(t). Discrete in Nature. Population statistics Stock market indices. Sampled continuos time (analog) signals. Example

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Continuous Time Signals

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Lecture #1

Lecture #1. Introduction to signals. signals. Signals are functions of independent variables that carry information. Electrical signals Voltages and currents in a CKT Acoustic signals Audio or speech signals Video signals Intensity variations in an image. Independent variables.

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Signals and Systems Revision Lecture 1

Signals and Systems Revision Lecture 1. DR TANIA STATHAKI READER (ASSOCIATE PROFESSOR ) IN SIGNAL PROCESSING IMPERIAL COLLEGE LONDON. Exam structure. The Signal and Systems exam comprises of 3 questions.

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Ch. 11 Digital Signal Processing Using General-Purpose Processors

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Sampling Theorems

Sampling Theorems. Periodic Sampling. Most signals are continuous in time. Example: voice, music, images ADC and DAC is needed to convert from continuous-time signals to discrete-time signals form and vice-versa. Periodic Sampling of an analog signal is shown below:. Periodic Sampling.

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SIGNALS & SYSTEMS

SIGNALS & SYSTEMS. Bikash Kumar Behera. What do you mean by signal?. Describes physical phenomena Information contained in signal is some form of variation. How to Represent Signals?. Mathematically represented as a function of one or more independent variables. Examples

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EC3400: Introduction to Digital Signal Processing by Roberto Cristi Professor Dept. of ECE

EC3400: Introduction to Digital Signal Processing by Roberto Cristi Professor Dept. of ECE Naval Postgraduate School Monterey, CA 93943. Week 1 Topics:. Introduction Fourier Transform (Review) Sampling Reconstruction Digital Filtering Example: a Digital Notch Filter.

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Discrete Time Signals

Discrete Time Signals. IIR FIR S/H Integrator. Laplace X-form Discrete Time Signal. z-transform. Down and Up Sampling. IIR & FIR filters. Sample & Hold. Sample & Hold.

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