'Quantization' presentation slideshows

Week Twelve Agenda

Week Twelve Agenda. Attendance Announcements Monday, July 25 meet in the lab for Franklin Live session and Mimic Simulator Lab Assignment 4-1-3. Review Week Eleven Information Current Week Information Upcoming Assignments. Week Eleven Topics. Review Week Ten Information

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Sound Intro

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10. Superconductivity

10. Superconductivity. Experimental Survey Occurrence of Superconductivity Destruction of Superconductivity by Magnetic Fields Meisner Effect Heat Capacity Energy Gap Microwave and Infrared Properties Isotope Effect Theoretical Survey

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LVQ Algorithms

LVQ Algorithms. Presented by KRISHNAMOORTHI.BM. RAJKUMAR. Introduction Codebook vectors LVQ1 algorithm Example for LVQ1 LVQ2 and OLVQ Application of LVQ Issues of LVQ Summary and Conclusion. Learning Vector Quantization. Combine competitive learning with supervision.

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Processing of Multichannel RS Data for Environment Monitoring

Processing of Multichannel RS Data for Environment Monitoring. Processing of Multichannel RS Data for Environment Monitoring VLADIMIR LUKIN Dept of Transmitters, Receivers and Signal Processing, National Aerospace University, 17 Chkalova St., Kharkov, 61070, Ukraine,

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Time Optimization of HEVC Encoder over X86 Processors using SIMD

Time Optimization of HEVC Encoder over X86 Processors using SIMD. Spring 2013 Multimedia Processing EE5359. Advisor: Dr. K. R. Rao. Kushal Shah 1000857252 k ushal.shah7@mavs.uta.edu. Objective.

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Machine learning continued

Machine learning continued. Image source: https://www.coursera.org/course/ml. More about linear classifiers. When the data is linearly separable, there may be more than one separator ( hyperplane ). Which separator is best?. Support vector machines.

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Electronic Communications Systems

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Chapter 5 Making Connections Efficient: Multiplexing and Compression

Chapter 5 Making Connections Efficient: Multiplexing and Compression. Introduction. Under the simplest conditions, a medium can carry only one signal at any moment in time

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Lecture 7: Signal Processing IV

Lecture 7: Signal Processing IV. EEN 112: Introduction to Electrical and Computer Engineering. Professor Eric Rozier, 2/ 27/ 13. SCHEDULE. Schedule. QUANTIZATION. Recall the types of functions. Surjective. Injective. Classification and Reconstruction. 0 0.1 0.15762 0.2 0.333333

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A Low-Power Low-Memory Real-Time ASR System

A Low-Power Low-Memory Real-Time ASR System. Outline. Overview of Automatic Speech Recognition (ASR) systems Sub-vector clustering and parameter quantization Custom arithmetic back-end Power simulation. ASR System Organization.

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PAC/AAC audio coding standard

PAC/AAC audio coding standard. A. Moreno antonio@ece.gatech.edu Georgia Institute of Technology ECE8873-Spring/2004. Overview. Audio Recording Coding-ultimate goal AAC Encoder Block Diagram Principles of Psychoacoustics Perceptual Entropy Quantization and Coding Samples. Introduction.

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ECE 408 Final Project

ECE 408 Final Project. Fall 2013. Parameters. Groups of 3 preferred Groups of 1-2 possible w/ prior approval Look for a group on Piazza 2 Project options HEVC Intraframe Prediction Competition A topic from your own research. Competition. Intraframe prediction for HEVC video encoder

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Principles of Digital Audio

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Digital Signal Processing

Digital Signal Processing. Digital Signal Processing Topic 11: Continuous Signals. 1. Sampling and Reconstruction 2. Quantization. 1. Sampling & Reconstruction. Sampling : Frequency Domain. Sampling. Spectra of Sampled Signals. Spectra of Sampled Signals. CT and DT Spectra. Aliasing.

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EEE-534 Wireless Communications

EEE-534 Wireless Communications. Mustafa Ozmen 20603095. Outline. Introduction System Model and Performance Analysis Scalar Quantization Simulation Result Discussion of Paper. Introduction. Bit error performance for EGC and optimal precoders

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Low-Complexity Transform and Quantization in H.264/AVC

Low-Complexity Transform and Quantization in H.264/AVC. Henrique S. Malvar, Fellow, IEEE, Antti Hallapuro, Marta Karczewicz, and Louis Kerofsky, Member, IEEE. Content. Brief recall of the H.264 encode and decode structure Transform in H.264 DCT and Integer transform

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JPEG

JPEG. Standard approved in 1994 ISO 10918-1 . JPEG . Basis Vectors of DCT. RGB to Y Cb Cr. reduce the spatial resolution of the Cb and Cr components 4:4:4 (no downsampling ), 4:2:2 (reduce by factor of 2 in horizontal direction)

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Video communication

Video communication. Execise_1 M023010097 ???. ????. 1. Color space (RGB-> YCbCr ) 2. ?? Y[ i+x ][ j+y ] ? DCT ?? DCTY[ i+k ][ j+l ] 3. Quantization 4. Remove high frequency coefficients 5.IverseQuantization 6.inverseDCT 7. YCbCr to RGB 8. ?? PSNR ?. ??. ? DC ?.

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