'Impulse response' diaporamas de présentation

README

README. Lecture notes will be animated by clicks. Each click will indicate pause for audience to observe slide. On further click, the lecturer will explain the slide with highlighted notes. STFT as Filter Bank. Introduction to Wavelet Transform Yen-Ming Lai Doo-hyun Sung.

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Time Response*, ME451

Time Response*, ME451. Instructor: Jongeun Choi. * This presentation is created by Jongeun Choi and Gabrial Gomes. Zeros and poles of a transfer function. Let G(s)=N(s)/D(s), then Zeros of G(s) are the roots of N(s)=0 Poles of G(s) are the roots of D(s)=0. Im(s). Re(s). Theorems.

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Lecture 1: February 20, 2007

Lecture 1: February 20, 2007. Topic:. 1. Discrete-Time Signals and Systems. Lecture 1: February 20, 2007. Topic:. 1. Discrete-Time Signals and Systems. signal classification -> signals to be applied in digital filter theory within our course, some elementary discrete-time signals,

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Correlation and Spectral Analysis

Correlation and Spectral Analysis. Application 4. Review of covariance. Autocorrelation (Autocovariance). Noise Power. Zero-Mean Gaussian Noise. Power Spectrum. E{P n ( k )} = s 2 = 1.12 = R n (0). Auto-correlation. R n (0) = s 2 = 1.12. >> for j = 1:256,

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Dendritic computation

Dendritic computation. Dendritic computation. Dendrites as computational elements:. Passive contributions to computation. Active contributions to computation. Examples. r. Geometry matters: the isopotential cell. Injecting current I 0. V m = I m R m.

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Visualization in Medicine Lecture: Convolution

Visualization in Medicine Lecture: Convolution. Overview. Function Signal Impulse Function Impulse Function Decomposition Impulse Response Convolution Convolution 1D Implementing 1D Convolution Convolution 2D Implementing 2D Convolution Image Filter. Function. Source: Wikipedia.

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The Inverse Laplace Transform

The Inverse Laplace Transform. The University of Tennessee Electrical and Computer Engineering Department Knoxville, Tennessee. wlg. Inverse Laplace Transforms. Background:. To find the inverse Laplace transform we use transform pairs along with partial fraction expansion:

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EE 4780: Introduction to Computer Vision

EE 4780: Introduction to Computer Vision. Linear Systems. Review: Linear Systems. We define a system as a unit that converts an input function into an output function. Independent variable. System operator. Linear Systems. Let.

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Convolution

Convolution. 3.1-3.2. An Integrator Circuit. Motivation. How does an integrator circuit respond to an impulse function ? How does an integrator circuit respond to a ramp input [ tu (t)] ?. Answer: Convolution Integral. * Signifies convolution. h() signifies impulse response.

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ECE4270 Fundamentals of DSP Lecture 7-B Discrete-Time Fourier Transform Theorems

ECE4270 Fundamentals of DSP Lecture 7-B Discrete-Time Fourier Transform Theorems. School of Electrical and Computer Engineering Center for Signal and Image Processing Georgia Institute of Technology. Overview of Lecture 7-B. Announcement Definition of DTFT Symmetry properties of the DTFT

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Fingerprints in the Ether: Using the Physical Layer for Wireless Authentication

Fingerprints in the Ether: Using the Physical Layer for Wireless Authentication. L. Xiao, L. Greenstein, N. Mandayam, W. Trappe ICC 2007 Glasgow, Scotland This work is supported in part by NSF grant CNS-0626439. Outline. Motivation & Main Idea System Model & Hypothesis Test

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FIR Filter Design & Implementation

FIR Filter Design & Implementation. To fully design and implement a filter five steps are required: (1) Filter specification (2) Coefficient calculation (3) Structure selection (4) Simulation (optional) (5) Implementation. Software Tools for Designing Filter.

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Linear System

Linear System. by C.J.Lin. Office Room: H116 Lab. : H830-1 Telephone: 4100. Textbook: Linear system theory , Ferenc Szidarovszky and A. Terry Bahill Reference books: Linear system theory and design, Chi-Tsong Chen Linear system, 1980 Thomas Kailath. Scoring Criterion.

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Things to do

Things to do. Proposal / Human subject consent form Solution to assignment 2 will be up at 1:05pm Feedback on labs Test 1 this Thursday (up to Chapter 2) Sampling, aliasing and quantization Transfer function, difference equation, zero-pole, signal flow diagram

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Linear Time-Invariant Systems

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Analysis of Discrete Linear Time Invariant Systems

y(n). X(n). system. the behavior or response of a linear system to a given input signal .

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Difference Equations

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Convolution in Matlab

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What Happened Yesterday

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