'Noisy signal' diaporamas de présentation

Lecture Notes on Image Filtering and Template Matching

Lecture Notes on Image Filtering and Template Matching. Project in Artificial Intelligence: CS 175. Outline. Image Filtering techniques image smoothing image edge detection Template matching Templates as filters Examples of template matching Assignment 5 Due Tuesday Thursday

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Speech Enhancement

Speech Enhancement. Wiener Filtering: A linear estimation of clean signal from the noisy signal Using MMSE criterion. Since y and v are zero mean:. This is called the time domain Wiener filter.

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Social Networks 101

Social Networks 101. Prof. Jason Hartline and Prof. Nicole Immorlica. Evaluate your peers. Experiment : Q . How many points were earned in the first week of class? Write your answer on your index cards and pass it to your TAs. Lecture Seven : Structural balance and

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If you are planning to buy a used car

If you are planning to buy a used car. Start. Logon to. Examine. No. Buy. Yes. End. How to decide: It could be a lemon. Earlier people would take it to a mechanic for a careful examination. Overview. The model Characterizing optimal strategies for t he searcher t he expert

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3 SIGNALLING Analogue vs. digital signalling

3 SIGNALLING Analogue vs. digital signalling. Recap advantages and disadvantages of analogue and digital signalling Calculate signal transmission rates for various types of communication. Starter: A colour photograph is taken with a 6 megapixel digital

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An Improved Space-Time Adaptive Processing (STAP) Model: A Spatiotemporal Approach For fMRI

An Improved Space-Time Adaptive Processing (STAP) Model: A Spatiotemporal Approach For fMRI. Lejian Huang 1 , Elizabeth A. Thompson 2 , Mary Comer 1 , Thomas M. Talavage 1 , Scott K. Holland 3 , Vincent Schmithorst 3 1 School of Electrical and Computer Engineering,

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Advantages of a Syringe Driven Sample Introduction Accessory for ICP Spectrometry

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The Noise Eliminator Using Fast Fourier Transform in CCStudios and MatLab

The Noise Eliminator Using Fast Fourier Transform in CCStudios and MatLab. Presented to: Dr Li By: Megan Myles & David Jackson. The Noise Eliminator. Researching Project Idea Visited Various DSP Websites Implemented idea in MatLab to test the concept

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NRGi

NRGi. Building an Energy Sentiment Index Peter Deeney * , Dublin City University Business School (DCUBS), Ireland Mark Cummins , DCUBS Adam Bermingham ,** DCU School of Computing Michael Dowling , DCUBS

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Lab 6 (EASY)

Lab 6 (EASY). Fast Convolution. Fast Convolution. Lab objectives Implement a bandpass filter in the frequency domain, using a Hamming window function. Filter the noisy signal generated in Lab 3, and plot the result. Write the result to a .wav file for playback. Fast Convolution.

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