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User Manual for Your Receiver Or Display for More Information on How to Enable HDMI Audio and Connecting a Display to Your A/V Receiver
C M Y CM MY CY CMY K ECM 2 High Performance Balanced Network Media Player (with integrated DAC and Streamer) Owner's Manual Version 1.1 EN ENGLISH ENG Table of contents Safety & precautions ............................................................................................. 4 The contents of the carton ...................................................................................... 4 Front panel ........................................................................................................... 4 Navigator controls ................................................................................................ 5 Rear panel connections ......................................................................................... 5 Remote control ...................................................................................................... 6 Installation .................................................................................................................. 7 Connecting audio/video..................................................................................... 7 • Analog audio output – balanced XLR ................................................ 7 • Analog audio output – unbalanced RCA ........................................... 7 • Digital audio output – HDMI ............................................................ 7 • Digital audio output – S/PDIF............................................................ 7 Connecting to a network ................................................................................. -
Edge Detection of Noisy Images Using 2-D Discrete Wavelet Transform Venkata Ravikiran Chaganti
Florida State University Libraries Electronic Theses, Treatises and Dissertations The Graduate School 2005 Edge Detection of Noisy Images Using 2-D Discrete Wavelet Transform Venkata Ravikiran Chaganti Follow this and additional works at the FSU Digital Library. For more information, please contact [email protected] THE FLORIDA STATE UNIVERSITY FAMU-FSU COLLEGE OF ENGINEERING EDGE DETECTION OF NOISY IMAGES USING 2-D DISCRETE WAVELET TRANSFORM BY VENKATA RAVIKIRAN CHAGANTI A thesis submitted to the Department of Electrical Engineering in partial fulfillment of the requirements for the degree of Master of Science Degree Awarded: Spring Semester, 2005 The members of the committee approve the thesis of Venkata R. Chaganti th defended on April 11 , 2005. __________________________________________ Simon Y. Foo Professor Directing Thesis __________________________________________ Anke Meyer-Baese Committee Member __________________________________________ Rodney Roberts Committee Member Approved: ________________________________________________________________________ Leonard J. Tung, Chair, Department of Electrical and Computer Engineering Ching-Jen Chen, Dean, FAMU-FSU College of Engineering The office of Graduate Studies has verified and approved the above named committee members. ii Dedicate to My Father late Dr.Rama Rao, Mother, Brother and Sister-in-law without whom this would never have been possible iii ACKNOWLEDGEMENTS I thank my thesis advisor, Dr.Simon Foo, for his help, advice and guidance during my M.S and my thesis. I also thank Dr.Anke Meyer-Baese and Dr. Rodney Roberts for serving on my thesis committee. I would like to thank my family for their constant support and encouragement during the course of my studies. I would like to acknowledge support from the Department of Electrical Engineering, FAMU-FSU College of Engineering. -
Audio Engineering Society Convention Paper
Audio Engineering Society Convention Paper Presented at the 128th Convention 2010 May 22–25 London, UK The papers at this Convention have been selected on the basis of a submitted abstract and extended precis that have been peer reviewed by at least two qualified anonymous reviewers. This convention paper has been reproduced from the author's advance manuscript, without editing, corrections, or consideration by the Review Board. The AES takes no responsibility for the contents. Additional papers may be obtained by sending request and remittance to Audio Engineering Society, 60 East 42nd Street, New York, New York 10165-2520, USA; also see www.aes.org. All rights reserved. Reproduction of this paper, or any portion thereof, is not permitted without direct permission from the Journal of the Audio Engineering Society. Loudness Normalization In The Age Of Portable Media Players Martin Wolters1, Harald Mundt1, and Jeffrey Riedmiller2 1 Dolby Germany GmbH, Nuremberg, Germany [email protected], [email protected] 2 Dolby Laboratories Inc., San Francisco, CA, USA [email protected] ABSTRACT In recent years, the increasing popularity of portable media devices among consumers has created new and unique audio challenges for content creators, distributors as well as device manufacturers. Many of the latest devices are capable of supporting a broad range of content types and media formats including those often associated with high quality (wider dynamic-range) experiences such as HDTV, Blu-ray or DVD. However, portable media devices are generally challenged in terms of maintaining consistent loudness and intelligibility across varying media and content types on either their internal speaker(s) and/or headphone outputs. -
EECS 442 Computer Vision: Homework 2
EECS 442 Computer Vision: Homework 2 Instructions • This homework is due at 11:59:59 p.m. on Friday February 26th, 2021. • The submission includes two parts: 1. To Canvas: submit a zip file of all of your code. We have indicated questions where you have to do something in code in red. Your zip file should contain a single directory which has the same name as your uniqname. If I (David, uniqname fouhey) were submitting my code, the zip file should contain a single folder fouhey/ containing all required files. What should I submit? At the end of the homework, there is a canvas submission checklist provided. We provide a script that validates the submission format here. If we don’t ask you for it, you don’t need to submit it; while you should clean up the directory, don’t panic about having an extra file or two. 2. To Gradescope: submit a pdf file as your write-up, including your answers to all the questions and key choices you made. We have indicated questions where you have to do something in the report in blue. You might like to combine several files to make a submission. Here is an example online link for combining multiple PDF files: https://combinepdf.com/. The write-up must be an electronic version. No handwriting, including plotting questions. LATEX is recommended but not mandatory. Python Environment We are using Python 3.7 for this course. You can find references for the Python standard library here: https://docs.python.org/3.7/library/index.html. -
The Kid3 Handbook
The Kid3 Handbook Software development: Urs Fleisch The Kid3 Handbook 2 Contents 1 Introduction 11 2 Using Kid3 12 2.1 Kid3 features . 12 2.2 Example Usage . 12 3 Command Reference 14 3.1 The GUI Elements . 14 3.1.1 File List . 14 3.1.2 Edit Playlist . 15 3.1.3 Folder List . 15 3.1.4 File . 16 3.1.5 Tag 1 . 17 3.1.6 Tag 2 . 18 3.1.7 Tag 3 . 18 3.1.8 Frame List . 18 3.1.9 Synchronized Lyrics and Event Timing Codes . 21 3.2 The File Menu . 22 3.3 The Edit Menu . 28 3.4 The Tools Menu . 29 3.5 The Settings Menu . 32 3.6 The Help Menu . 37 4 kid3-cli 38 4.1 Commands . 38 4.1.1 Help . 38 4.1.2 Timeout . 38 4.1.3 Quit application . 38 4.1.4 Change folder . 38 4.1.5 Print the filename of the current folder . 39 4.1.6 Folder list . 39 4.1.7 Save the changed files . 39 4.1.8 Select file . 39 4.1.9 Select tag . 40 The Kid3 Handbook 4.1.10 Get tag frame . 40 4.1.11 Set tag frame . 40 4.1.12 Revert . 41 4.1.13 Import from file . 41 4.1.14 Automatic import . 41 4.1.15 Download album cover artwork . 42 4.1.16 Export to file . 42 4.1.17 Create playlist . 42 4.1.18 Apply filename format . 42 4.1.19 Apply tag format . -
Extending the Faust VST Architecture with Polyphony, Portamento and Pitch Bend Yan Michalevsky Julius O
Extending the Faust VST Architecture with Polyphony, Portamento and Pitch Bend Yan Michalevsky Julius O. Smith Andrew Best Department of Electrical Center for Computer Research in Blamsoft, Inc. Engineering, Music and Acoustics (CCRMA), [email protected] Stanford University Stanford University [email protected] AES Fellow [email protected] Abstract VST (Virtual Studio Technology) plugin stan- We introduce the vsti-poly.cpp architecture for dard was released by Steinberg GmbH (famous the Faust programming language. It provides sev- for Cubase and other music and sound produc- eral features that are important for practical use of tion products) in 1996, and was followed by the Faust-generated VSTi synthesizers. We focus on widespread version 2.0 in 1999 [8]. It is a partic- the VST architecture as one that has been used tra- ularly common format supported by many older ditionally and is supported by many popular tools, and newer tools. and add several important features: polyphony, note Some of the features expected from a VST history and pitch-bend support. These features take plugin can be found in the VST SDK code.2 Faust-generated VST instruments a step forward in Examining the list of MIDI events [1] can also terms of generating plugins that could be used in Digital Audio Workstations (DAW) for real-world hint at what capabilities are expected to be im- music production. plemented by instrument plugins. We also draw from our experience with MIDI instruments and Keywords commercial VST plugins in order to formulate sound feature requirements. Faust, VST, Plugin, DAW In order for Faust to be a practical tool for generating such plugins, it should support most 1 Introduction of the features expected, such as the following: Faust [5] is a popular music/audio signal pro- • Responding to MIDI keyboard events cessing language developed by Yann Orlarey et al. -
Rockbox User Manual
The Rockbox Manual for Sansa Fuze+ rockbox.org October 1, 2013 2 Rockbox http://www.rockbox.org/ Open Source Jukebox Firmware Rockbox and this manual is the collaborative effort of the Rockbox team and its contributors. See the appendix for a complete list of contributors. c 2003-2013 The Rockbox Team and its contributors, c 2004 Christi Alice Scarborough, c 2003 José Maria Garcia-Valdecasas Bernal & Peter Schlenker. Version unknown-131001. Built using pdfLATEX. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sec- tions, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the section entitled “GNU Free Documentation License”. The Rockbox manual (version unknown-131001) Sansa Fuze+ Contents 3 Contents 1. Introduction 11 1.1. Welcome..................................... 11 1.2. Getting more help............................... 11 1.3. Naming conventions and marks........................ 12 2. Installation 13 2.1. Before Starting................................. 13 2.2. Installing Rockbox............................... 13 2.2.1. Automated Installation........................ 14 2.2.2. Manual Installation.......................... 15 2.2.3. Bootloader installation from Windows................ 16 2.2.4. Bootloader installation from Mac OS X and Linux......... 17 2.2.5. Finishing the install.......................... 17 2.2.6. Enabling Speech Support (optional)................. 17 2.3. Running Rockbox................................ 18 2.4. Updating Rockbox............................... 18 2.5. Uninstalling Rockbox............................. 18 2.5.1. Automatic Uninstallation....................... 18 2.5.2. Manual Uninstallation......................... 18 2.6. Troubleshooting................................. 18 3. Quick Start 20 3.1. -
Image Segmentation Based on Sobel Edge Detection Yuqin Yao1,A
5th International Conference on Advanced Materials and Computer Science (ICAMCS 2016) Image Segmentation Based on Sobel Edge Detection Yuqin Yao 1,a 1 Chengdu University of Information Technology, Chengdu, 610225, China a email: [email protected] Keywords: MM-sobel, edge detection, mathematical morphology, image segmentation Abstract. This paper aiming at the digital image processing, the system research to add salt and pepper noise, digital morphological preprocessing, image filtering noise reduction based on the MM-sobel edge detection and region growing for edge detection. System in this paper, the related knowledge, and application in various fields and studied and fully unifies in together, the four finished a pair of gray image edge detection is relatively complete algorithm, through the simulation experiment shows that the algorithm for edge detection effect is remarkable, in the case of almost can keep more edge details. Research overview The edge of the image is the most important visual information in an image. Image edge detection is the base of image analysis, image processing, computer vision, pattern recognition and human visual [1]. The ultimate goal is image segmentation; the largest premise is image edge detection. Image edge extraction plays an important role in image processing and machine vision. Proper image detection method is always the research hotspots in digital image processing, there are many methods to achieve edge detection, we expect to find an accurate positioning, strong anti-noise, not false, not missing detection algorithm [2]. The edge is an important feature of an image. Typically, when we take the digital image as input, the image edge is that the gray value of the image is changing radically and discontinuous, in mathematics the point is known as the break point of signal or singular point. -
The Top 10 Open Source Music Players Scores of Music Players Are Available in the Open Source World, and Each One Has Something That Is Unique
For U & Me Overview The Top 10 Open Source Music Players Scores of music players are available in the open source world, and each one has something that is unique. Here are the top 10 music players for you to check out. verybody likes to use a music player that is hassle- Amarok free and easy to operate, besides having plenty of Amarok is a part of the KDE project and is the default music Efeatures to enhance the music experience. The open player in Kubuntu. Mark Kretschmann started this project. source community has developed many music players. This The Amarok experience can be enhanced with custom scripts article lists the features of the ten best open source music or by using scripts contributed by other developers. players, which will help you to select the player most Its first release was on June 23, 2003. Amarok has been suited to your musical tastes. The article also helps those developed in C++ using Qt (the toolkit for cross-platform who wish to explore the features and capabilities of open application development). Its tagline, ‘Rediscover your source music players. Music’, is indeed true, considering its long list of features. 98 | FEBRUARY 2014 | OPEN SOURCE FOR YoU | www.LinuxForU.com Overview For U & Me Table 1: Features at a glance iPod sync Track info Smart/ Name/ Fade/ gapless and USB Radio and Remotely Last.fm Playback and lyrics dynamic Feature playback device podcasts controlled integration resume lookup playlist support Amarok Crossfade Both Yes Both Yes Both Yes Yes (Xine), Gapless (Gstreamer) aTunes Fade only -
Implementing a Parametric EQ Plug-In in C++ Using the Multi-Platform VST Specification
2003:044 C EXTENDED ESSAY Implementing a parametric EQ plug-in in C++ using the multi-platform VST specification JONAS EKEROOT SCHOOL OF MUSIC Audio Technology Supervisor: Jan Berg 2003:044 • ISSN: 1402 – 1773 • ISRN: LTU - CUPP - - 03/44 - - SE Implementing a parametric EQ plug-in in C++ using the multi-platform VST specification Jonas Ekeroot Division of Sound Recording School of Music in Pite˚a Lule˚aUniversity of Technology April 23, 2003 Abstract As the processing power of desktop computer systems increase by every year, more and more real-time audio signal processing is per- formed on such systems. What used to be done in external effects units, e.g. adding reverb, can now be accomplished within the com- puter system using signal processing code modules – plug-ins. This thesis describes the development of a peak/notch parametric EQ VST plug-in. First a prototype was made in the graphical audio program- ming environment Max/MSP on MacOS, and then a C++ implemen- tation was made using the VST Software Development Kit. The C++ source code was compiled on both Windows and MacOS, resulting in versions of the plug-in that can be used in any VST host application on Windows and MacOS respectively. Writing a plug-in relieves the programmer of the burden to deal directly with audio interface details and graphical user interface specifics, since this is taken care of by the host application. It can thus be an interesting way to start developing audio DSP algorithms, since the host application also provides the op- portunity to listen to and measure the performance of the implemented plug-in algorithm. -
Study and Comparison of Different Edge Detectors for Image
Global Journal of Computer Science and Technology Graphics & Vision Volume 12 Issue 13 Version 1.0 Year 2012 Type: Double Blind Peer Reviewed International Research Journal Publisher: Global Journals Inc. (USA) Online ISSN: 0975-4172 & Print ISSN: 0975-4350 Study and Comparison of Different Edge Detectors for Image Segmentation By Pinaki Pratim Acharjya, Ritaban Das & Dibyendu Ghoshal Bengal Institute of Technology and Management Santiniketan, West Bengal, India Abstract - Edge detection is very important terminology in image processing and for computer vision. Edge detection is in the forefront of image processing for object detection, so it is crucial to have a good understanding of edge detection operators. In the present study, comparative analyses of different edge detection operators in image processing are presented. It has been observed from the present study that the performance of canny edge detection operator is much better then Sobel, Roberts, Prewitt, Zero crossing and LoG (Laplacian of Gaussian) in respect to the image appearance and object boundary localization. The software tool that has been used is MATLAB. Keywords : Edge Detection, Digital Image Processing, Image segmentation. GJCST-F Classification : I.4.6 Study and Comparison of Different Edge Detectors for Image Segmentation Strictly as per the compliance and regulations of: © 2012. Pinaki Pratim Acharjya, Ritaban Das & Dibyendu Ghoshal. This is a research/review paper, distributed under the terms of the Creative Commons Attribution-Noncommercial 3.0 Unported License http://creativecommons.org/licenses/by-nc/3.0/), permitting all non-commercial use, distribution, and reproduction inany medium, provided the original work is properly cited. Study and Comparison of Different Edge Detectors for Image Segmentation Pinaki Pratim Acharjya α, Ritaban Das σ & Dibyendu Ghoshal ρ Abstract - Edge detection is very important terminology in noise the Canny edge detection [12-14] operator has image processing and for computer vision. -
How to Create Music with GNU/Linux
How to create music with GNU/Linux Emmanuel Saracco [email protected] How to create music with GNU/Linux by Emmanuel Saracco Copyright © 2005-2009 Emmanuel Saracco How to create music with GNU/Linux Warning WORK IN PROGRESS Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is available on the World Wide Web at http://www.gnu.org/licenses/fdl.html. Revision History Revision 0.0 2009-01-30 Revised by: es Not yet versioned: It is still a work in progress. Dedication This howto is dedicated to all GNU/Linux users that refuse to use proprietary software to work with audio. Many thanks to all Free developers and Free composers that help us day-by-day to make this possible. Table of Contents Forword................................................................................................................................................... vii 1. System settings and tuning....................................................................................................................1 1.1. My Studio....................................................................................................................................1 1.2. File system..................................................................................................................................1 1.3. Linux Kernel...............................................................................................................................2