'Error pattern' diaporamas de présentation

Ch 8 Fundamentals of Probability Theory

ENGR 4323/5323 Digital and Analog Communication. Ch 8 Fundamentals of Probability Theory. Engineering and Physics University of Central Oklahoma Dr. Mohamed Bingabr. Chapter Outline. Concept of Probability Random Variables Statistical Averages (MEANS) Correlation

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David H. Allsopp, Ph.D. University of South Florida dallsopp@tempest.coeduf

Mathematics Dynamic Assessment: Finding Out What You Need To Know In Order To Make Effective Mathematical Instructional Decisions. David H. Allsopp, Ph.D. University of South Florida dallsopp@tempest.coedu.usf.edu. Advance Organizer. MDA at a glance Important concepts MDA description

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Workshop for Electron Beam Lithography System JBX-6300FS By Nelson LI 13 November 2009

Nanoelectronics Fabrication Facility . Workshop for Electron Beam Lithography System JBX-6300FS By Nelson LI 13 November 2009. Page 1. System specifications Importance of chip feature on writing result Requirements of overlay writing Photoresist provide Requirements of pattern design

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Linear Block Codes

Linear Block Codes. The parity bits of linear block codes are linear combination of the message. Therefore, we can represent the encoder by a linear system described by matrices. . Basic Definitions. Linearity: where m is a k -bit information sequence c is an n -bit codeword.

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Transmission Errors Error Detection and Correction

Advanced Computer Networks C13 Term C10. Transmission Errors Error Detection and Correction . Transmission Errors Outline. Error Detection versus Error Correction Hamming Distances and Codes Linear Codes - Parity Internet Checksum Polynomial Codes Cyclic Redundancy Checking (CRC)

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DynaMine Finding Common Error Patterns by Mining Software Revision Histories

DynaMine Finding Common Error Patterns by Mining Software Revision Histories. Benjamin Livshits Stanford University. Thomas Zimmermann Saarland University. J2EE servlets. Application specific. Device drivers. Linux code. Error Pattern Iceberg. null dereferences, buffer overruns,.

283 views • 28 slides

DynaMine Finding Common Error Patterns by Mining Software Revision Histories

DynaMine Finding Common Error Patterns by Mining Software Revision Histories. Benjamin Livshits Stanford University. Thomas Zimmermann Saarland University. J2EE servlets. Application specific. Device drivers. Linux code. Error Pattern Iceberg. null dereferences, buffer overruns,.

285 views • 28 slides

EEE436

EEE436. DIGITAL COMMUNICATION Coding. Convolutional Codes Unlike block codes that operate on block-by-block basis, the convolutional codes are based on message bits that come in serially rather than in blocks.

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Tracey Ho

Tracey Ho. Salman Avestimehr. Theodoros Dikaliotis. Cornell University. California Institute of Technology. California Institute of Technology. Sidharth Jaggi. Hongyi Yao. Chinese University of Hong Kong. Tsinghua University. Communication in a wireless medium. Source. Receiver.

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Eligibility for Specific Learning Disability

Eligibility for Specific Learning Disability . Charter Schools November, 2010. Quick review. Still 13 areas of eligibility categories All students being considered for IDEA eligibility must till meet the 3 prong test M..Does the student MEET one of the 13 areas

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REED SOLOMON CODES

CHANNEL CODING. REED SOLOMON CODES. General Description:. Reed-Solomon (R-S) codes are nonbinary cyclic codes with symbols made up of m-bit sequences, where m is any positive integer having a value greater than 2. For the most conventional R-S (n, k) code: (n, k) = (2 m - 1, 2 m -1 - 2t)

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Student Misconceptions

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IV. Cyclic Codes

IV. Cyclic Codes. Theorem. Let s(X) be the syndrome of a received polynomial r(X) Then the remainder s (1) (X) resulting from dividing Xs(X) by the generator polynomial g(X) is the syndrome of r (1) (X), which represents a cyclic shift of r(X). Proof Xr(X) = r n-1 (X n +1)+r (1) (X)

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IV. Cyclic Codes

IV. Cyclic Codes. Theorem. Let s(X) be the syndrome of a received polynomial r(X) Then the remainder s (1) (X) resulting from dividing Xs(X) by the generator polynomial g(X) is the syndrome of r (1) (X), which represents a cyclic shift of r(X). Proof Xr(X) = r n-1 (X n +1)+r (1) (X)

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AMR characterisation test cases with UTRA

AMR characterisation test cases with UTRA. Joint 3GPP RAN WG1 and SA WG4 meeting Tdoc R1-99i78 November 19th, Paris, France Source: Nokia. UTRA FDD power control. Two important cases exists: Power control works well, for example with Pedestrian A with 3 km/h etc. low termial velocity cases

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AMR characterisation test cases with UTRA

AMR characterisation test cases with UTRA. Joint 3GPP RAN WG1 and SA WG4 meeting Tdoc R1-99i78 November 19th, Paris, France Source: Nokia. UTRA FDD power control. Two important cases exists: Power control works well, for example with Pedestrian A with 3 km/h etc. low termial velocity cases

76 views • 7 slides

oint Depth and Color Camera alibration with istortion Correction

211 views • 1 slides