'Periodic signals' diaporamas de présentation

Outline

Outline. Signals Sampling Time and frequency domains Systems Filters Convolution MA, AR, ARMA filters System identification Graph theory FFT DSP processors Speech signal processing Data communications. DSP.

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Chapter 4 The Fourier Series and Fourier Transform

Chapter 4 The Fourier Series and Fourier Transform. Fourier Series Representation of Periodic Signals. Let x ( t ) be a CT periodic signal with period T, i.e., Example: the rectangular pulse train. The Fourier Series. Then, x ( t ) can be expressed as

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Correlation, Energy Spectral Density and Power Spectral Density

Correlation, Energy Spectral Density and Power Spectral Density. Chapter 8. Introduction. Relationships between signals can be just as important as characteristics of individual signals

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STEADY STATE AC CIRCUIT ANALYSIS

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Chapter 4

Chapter 4. Fourier Series & Transforms. Basic Idea. notes. Taylor Series. Complex signals are often broken into simple pieces Signal requirements Can be expressed into simpler problems The first few terms can approximate the signal

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Overview

Equine Gait Analysis and Visualization Methods Dr. Marjorie Skubic Samer Arafat Justin Satterley Computer Engineering & Computer Science Dr. Kevin Keegan Veterinary Medicine & Surgery. Pre-process and store. Database. Animation for visualization. Overview. Transformed data for analysis.

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1.Derivation of the CT Fourier Transform pair 2.Examples of Fourier Transforms

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Lecture 2: Signals Concepts & Properties

Lecture 2: Signals Concepts & Properties. (1) Systems, signals , mathematical models. Continuous-time and discrete-time signals . Energy and power signals . Linear systems. Examples for use throughout the course, introduction to Matlab and Simulink tools

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CMPE 150 Fall 2005 Lecture 6

CMPE 150 Fall 2005 Lecture 6. Introduction to Networks and the Internet. Announcements. Labs: 1 slot either M or W 4-6pm. Other slot? T or Th 6-8pm? First lab is next week. TA office hours: T 6-7pm and Th 1-2pm in BME 314. Last Class. PHY. Analog and digital technology/communication.

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Circuits II EE221 Unit 3 Instructor: Kevin D. Donohue

Circuits II EE221 Unit 3 Instructor: Kevin D. Donohue. Instantaneous, Average, RMS, and Apparent Power, and, Maximum Power Transfer, and Power Factors . Power Definitions/Units:. Work is in units of newton-meters or joules same as energy.

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Electrical Communication Systems ECE.09.331 Spring 2011

Electrical Communication Systems ECE.09.331 Spring 2011. Lecture 2a January 26, 2011. Shreekanth Mandayam ECE Department Rowan University http://engineering.rowan.edu/~shreek/spring11/ecomms/. Plan. Digital and Analog Communications Systems Properties of Signals and Noise Terminology

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LECTURE 01: CONTINUOUS AND DISCRETE-TIME SIGNALS

LECTURE 01: CONTINUOUS AND DISCRETE-TIME SIGNALS. Objectives: Examples of Signals Functional Forms Continuous vs. Discrete Symmetry and Periodicity Basic Characteristics

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LECTURE 23: DIFFERENTIAL EQUATIONS

LECTURE 23: DIFFERENTIAL EQUATIONS. Objectives: First-Order Second-Order N th -Order Computation of the Output Signal Transfer Functions Resources: PD: Differential Equations Wiki: Applications to DEs GS: Laplace Transforms and DEs IntMath: Solving DEs Using Laplace. Audio:. URL:.

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Signals and Systems

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Objectives: Derivation Transform Pairs Response of LTI Systems Transforms of Periodic Signals Examples

LECTURE 10 : THE FOURIER TRANSFORM. Objectives: Derivation Transform Pairs Response of LTI Systems Transforms of Periodic Signals Examples Resources: Wiki: The Fourier Transform CNX: Derivation MIT 6.003: Lecture 8 Wikibooks : Fourier Transform Tables RBF: Image Transforms (Advanced).

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Electrical Communications Systems ECE.09.433

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Correlation of Discrete-Time Signals

Correlation of Discrete-Time Signals. Transmitted Signal, x(n). Reflected Signal, y(n) = x(n-D) + w(n). 0. T. Cross-Correlation. Cross-correlation of x(n) and y(n) is a sequence, r xy (l) Reversing the order, r yx (l) => . Similarity to Convolution. No folding (time-reversal)

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Signals, Fourier Series

Signals, Fourier Series. Analog and Digital Communications Autumn 2005-2006. Review of Signals and Spectra. A generic sinusoidal signal Phasor representation Frequency domain representation Rotating phasors Frequency plots Amplitude Phase. Amplitude. Phase. Amplitude. Phase.

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Neural Network Modeling Jean Carlson, Ted Brookings

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