MPEG Digital Audio Coding Standards.” 2000 CRC Press LLC
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PD7040/98 Philips Portable DVD Player
Philips Portable DVD Player 18cm/ 7" LCD 5-hr playtime PD7040 Longer movies enjoyment on the go with USB for digital media playback Enjoy your movies anytime, anyplace! The PD7040 portable DVD player features 7”/ 18cm LCD swivel screen for your great viewing experience. You can indulge in up to 5 hours of DVD/DivX®/MPEG movies, MP3-CD/CD music and JPEG photos on the go. Play your movies, music and photos on the go • DVD, DVD+/-R, DVD+/-RW, (S)VCD, CD compatible • DivX Certified for standard DivX video playback • MP3-CD, CD and CD-RW playback • View JPEG images from picture disc Enrich your AV entertainment experience • 7" swivel color LCD panel for improved viewing flexibility • Enjoy movies in 16:9 widescreen format • Built-in stereo speakers Extra touches for your convenience • Up to 5-hour playback with a built-in battery* • USB Direct for music and photo playback • Car mount pouch included for easy in-car use • Full Resume on Power Loss • AC adaptor, car adaptor and AV cable included Portable DVD Player PD7040/98 18cm/ 7" LCD 5-hr playtime Highlights MP3-CD, CD and CD-RW playback USB Direct where you have stopped the movie last time just by reloading the disc. Making your life a lot easier! MP3 is a revolutionary compression Simply plug in your USB device on the system technology by which large digital music files can and share your stored digital music and photos be made up to 10 times smaller without with your family and friends. radically degrading their audio quality. -
A Multidimensional Companding Scheme for Source Coding Witha Perceptually Relevant Distortion Measure
A MULTIDIMENSIONAL COMPANDING SCHEME FOR SOURCE CODING WITHA PERCEPTUALLY RELEVANT DISTORTION MEASURE J. Crespo, P. Aguiar R. Heusdens Department of Electrical and Computer Engineering Department of Mediamatics Instituto Superior Técnico Technische Universiteit Delft Lisboa, Portugal Delft, The Netherlands ABSTRACT coding mechanisms based on quantization, where less percep- tually important information is quantized more roughly and In this paper, we develop a multidimensional companding vice-versa, and lossless coding of the symbols emitted by the scheme for the preceptual distortion measure by S. van de Par quantizer to reduce statistical redundancy. In the quantization [1]. The scheme is asymptotically optimal in the sense that process of the (en)coder, it is desirable to quantize the infor- it has a vanishing rate-loss with increasing vector dimension. mation extracted from the signal in a rate-distortion optimal The compressor operates in the frequency domain: in its sim- sense, i.e., in a way that minimizes the perceptual distortion plest form, it pointwise multiplies the Discrete Fourier Trans- experienced by the user subject to the constraint of a certain form (DFT) of the windowed input signal by the square-root available bitrate. of the inverse of the masking threshold, and then goes back into the time domain with the inverse DFT. The expander is Due to its mathematical tractability, the Mean Square based on numerical methods: we do one iteration in a fixed- Error (MSE) is the elected choice for the distortion measure point equation, and then we fine-tune the result using Broy- in many coding applications. In audio coding, however, the den’s method. -
A History of Video Game Consoles Introduction the First Generation
A History of Video Game Consoles By Terry Amick – Gerald Long – James Schell – Gregory Shehan Introduction Today video games are a multibillion dollar industry. They are in practically all American households. They are a major driving force in electronic innovation and development. Though, you would hardly guess this from their modest beginning. The first video games were played on mainframe computers in the 1950s through the 1960s (Winter, n.d.). Arcade games would be the first glimpse for the general public of video games. Magnavox would produce the first home video game console featuring the popular arcade game Pong for the 1972 Christmas Season, released as Tele-Games Pong (Ellis, n.d.). The First Generation Magnavox Odyssey Rushed into production the original game did not even have a microprocessor. Games were selected by using toggle switches. At first sales were poor because people mistakenly believed you needed a Magnavox TV to play the game (GameSpy, n.d., para. 11). By 1975 annual sales had reached 300,000 units (Gamester81, 2012). Other manufacturers copied Pong and began producing their own game consoles, which promptly got them sued for copyright infringement (Barton, & Loguidice, n.d.). The Second Generation Atari 2600 Atari released the 2600 in 1977. Although not the first, the Atari 2600 popularized the use of a microprocessor and game cartridges in video game consoles. The original device had an 8-bit 1.19MHz 6507 microprocessor (“The Atari”, n.d.), two joy sticks, a paddle controller, and two game cartridges. Combat and Pac Man were included with the console. In 2007 the Atari 2600 was inducted into the National Toy Hall of Fame (“National Toy”, n.d.). -
Speech Coding and Compression
Introduction to voice coding/compression PCM coding Speech vocoders based on speech production LPC based vocoders Speech over packet networks Speech coding and compression Corso di Networked Multimedia Systems Master Universitario di Primo Livello in Progettazione e Gestione di Sistemi di Rete Carlo Drioli Università degli Studi di Verona Facoltà di Scienze Matematiche, Dipartimento di Informatica Fisiche e Naturali Speech coding and compression Introduction to voice coding/compression PCM coding Speech vocoders based on speech production LPC based vocoders Speech over packet networks Speech coding and compression: OUTLINE Introduction to voice coding/compression PCM coding Speech vocoders based on speech production LPC based vocoders Speech over packet networks Speech coding and compression Introduction to voice coding/compression PCM coding Speech vocoders based on speech production LPC based vocoders Speech over packet networks Introduction Approaches to voice coding/compression I Waveform coders (PCM) I Voice coders (vocoders) Quality assessment I Intelligibility I Naturalness (involves speaker identity preservation, emotion) I Subjective assessment: Listening test, Mean Opinion Score (MOS), Diagnostic acceptability measure (DAM), Diagnostic Rhyme Test (DRT) I Objective assessment: Signal to Noise Ratio (SNR), spectral distance measures, acoustic cues comparison Speech coding and compression Introduction to voice coding/compression PCM coding Speech vocoders based on speech production LPC based vocoders Speech over packet networks -
MIGRATING RADIO CALL-IN TALK SHOWS to WIDEBAND AUDIO Radio Is the Original Social Network
Established 1961 2013 WBA Broadcasters Clinic Madison, WI MIGRATING RADIO CALL-IN TALK SHOWS TO WIDEBAND AUDIO Radio is the original Social Network • Serves local or national audience • Allows real-time commentary from the masses • The telephone becomes the medium • Telephone technical factors have limited the appeal of the radio “Social Network” Telephones have changed over the years But Telephone Sound has not changed (and has gotten worse) This is very bad for Radio Why do phones sound bad? • System designed for efficiency not comfort • Sampling rate of 8kHz chosen for all calls • 4 kHz max response • Enough for intelligibility • Loses depth, nuance, personality • Listener fatigue Why do phones sound so bad ? (cont) • Low end of telephone calls have intentional high- pass filtering • Meant to avoid AC power hum pickup in phone lines • Lose 2-1/2 Octaves of speech audio on low end • Not relevant for digital Why Phones Sound bad (cont) Los Angeles Times -- January 10, 2009 Verizon Communications Inc., the second-biggest U.S. telephone company, plans to do away with traditional phone lines within seven years as it moves to carry all calls over the Internet. An Internet-based service can be maintained at a fraction of the cost of a phone network and helps Verizon offer a greater range of services, Stratton said. "We've built our business over the years with circuit-switched voice being our bread and butter...but increasingly, we are in the business of selling, basically, data connectivity," Chief Marketing Officer John Stratton said. VoIP -
Forensic Analysis of the Nintendo 3DS NAND
Edith Cowan University Research Online ECU Publications Post 2013 2019 Forensic Analysis of the Nintendo 3DS NAND Gus Pessolano Huw O. L. Read Iain Sutherland Edith Cowan University Konstantinos Xynos Follow this and additional works at: https://ro.ecu.edu.au/ecuworkspost2013 Part of the Physical Sciences and Mathematics Commons 10.1016/j.diin.2019.04.015 Pessolano, G., Read, H. O., Sutherland, I., & Xynos, K. (2019). Forensic analysis of the Nintendo 3DS NAND. Digital Investigation, 29, S61-S70. Available here This Journal Article is posted at Research Online. https://ro.ecu.edu.au/ecuworkspost2013/6459 Digital Investigation 29 (2019) S61eS70 Contents lists available at ScienceDirect Digital Investigation journal homepage: www.elsevier.com/locate/diin DFRWS 2019 USA e Proceedings of the Nineteenth Annual DFRWS USA Forensic Analysis of the Nintendo 3DS NAND * Gus Pessolano a, Huw O.L. Read a, b, , Iain Sutherland b, c, Konstantinos Xynos b, d a Norwich University, Northfield, VT, USA b Noroff University College, 4608 Kristiansand S., Vest Agder, Norway c Security Research Institute, Edith Cowan University, Perth, Australia d Mycenx Consultancy Services, Germany article info abstract Article history: Games consoles present a particular challenge to the forensics investigator due to the nature of the hardware and the inaccessibility of the file system. Many protection measures are put in place to make it deliberately difficult to access raw data in order to protect intellectual property, enhance digital rights Keywords: management of software and, ultimately, to protect against piracy. History has shown that many such Nintendo 3DS protections on game consoles are circumvented with exploits leading to jailbreaking/rooting and Games console allowing unauthorized software to be launched on the games system. -
Digital Speech Processing— Lecture 17
Digital Speech Processing— Lecture 17 Speech Coding Methods Based on Speech Models 1 Waveform Coding versus Block Processing • Waveform coding – sample-by-sample matching of waveforms – coding quality measured using SNR • Source modeling (block processing) – block processing of signal => vector of outputs every block – overlapped blocks Block 1 Block 2 Block 3 2 Model-Based Speech Coding • we’ve carried waveform coding based on optimizing and maximizing SNR about as far as possible – achieved bit rate reductions on the order of 4:1 (i.e., from 128 Kbps PCM to 32 Kbps ADPCM) at the same time achieving toll quality SNR for telephone-bandwidth speech • to lower bit rate further without reducing speech quality, we need to exploit features of the speech production model, including: – source modeling – spectrum modeling – use of codebook methods for coding efficiency • we also need a new way of comparing performance of different waveform and model-based coding methods – an objective measure, like SNR, isn’t an appropriate measure for model- based coders since they operate on blocks of speech and don’t follow the waveform on a sample-by-sample basis – new subjective measures need to be used that measure user-perceived quality, intelligibility, and robustness to multiple factors 3 Topics Covered in this Lecture • Enhancements for ADPCM Coders – pitch prediction – noise shaping • Analysis-by-Synthesis Speech Coders – multipulse linear prediction coder (MPLPC) – code-excited linear prediction (CELP) • Open-Loop Speech Coders – two-state excitation -
PXC 550 Wireless Headphones
PXC 550 Wireless headphones Instruction Manual 2 | PXC 550 Contents Contents Important safety instructions ...................................................................................2 The PXC 550 Wireless headphones ...........................................................................4 Package includes ..........................................................................................................6 Product overview .........................................................................................................7 Overview of the headphones .................................................................................... 7 Overview of LED indicators ........................................................................................ 9 Overview of buttons and switches ........................................................................10 Overview of gesture controls ..................................................................................11 Overview of CapTune ................................................................................................12 Getting started ......................................................................................................... 14 Charging basics ..........................................................................................................14 Installing CapTune .....................................................................................................16 Pairing the headphones ...........................................................................................17 -
Audio Coding for Digital Broadcasting
Recommendation ITU-R BS.1196-7 (01/2019) Audio coding for digital broadcasting BS Series Broadcasting service (sound) ii Rec. ITU-R BS.1196-7 Foreword The role of the Radiocommunication Sector is to ensure the rational, equitable, efficient and economical use of the radio- frequency spectrum by all radiocommunication services, including satellite services, and carry out studies without limit of frequency range on the basis of which Recommendations are adopted. The regulatory and policy functions of the Radiocommunication Sector are performed by World and Regional Radiocommunication Conferences and Radiocommunication Assemblies supported by Study Groups. Policy on Intellectual Property Right (IPR) ITU-R policy on IPR is described in the Common Patent Policy for ITU-T/ITU-R/ISO/IEC referenced in Resolution ITU-R 1. Forms to be used for the submission of patent statements and licensing declarations by patent holders are available from http://www.itu.int/ITU-R/go/patents/en where the Guidelines for Implementation of the Common Patent Policy for ITU-T/ITU-R/ISO/IEC and the ITU-R patent information database can also be found. Series of ITU-R Recommendations (Also available online at http://www.itu.int/publ/R-REC/en) Series Title BO Satellite delivery BR Recording for production, archival and play-out; film for television BS Broadcasting service (sound) BT Broadcasting service (television) F Fixed service M Mobile, radiodetermination, amateur and related satellite services P Radiowave propagation RA Radio astronomy RS Remote sensing systems S Fixed-satellite service SA Space applications and meteorology SF Frequency sharing and coordination between fixed-satellite and fixed service systems SM Spectrum management SNG Satellite news gathering TF Time signals and frequency standards emissions V Vocabulary and related subjects Note: This ITU-R Recommendation was approved in English under the procedure detailed in Resolution ITU-R 1. -
(A/V Codecs) REDCODE RAW (.R3D) ARRIRAW
What is a Codec? Codec is a portmanteau of either "Compressor-Decompressor" or "Coder-Decoder," which describes a device or program capable of performing transformations on a data stream or signal. Codecs encode a stream or signal for transmission, storage or encryption and decode it for viewing or editing. Codecs are often used in videoconferencing and streaming media solutions. A video codec converts analog video signals from a video camera into digital signals for transmission. It then converts the digital signals back to analog for display. An audio codec converts analog audio signals from a microphone into digital signals for transmission. It then converts the digital signals back to analog for playing. The raw encoded form of audio and video data is often called essence, to distinguish it from the metadata information that together make up the information content of the stream and any "wrapper" data that is then added to aid access to or improve the robustness of the stream. Most codecs are lossy, in order to get a reasonably small file size. There are lossless codecs as well, but for most purposes the almost imperceptible increase in quality is not worth the considerable increase in data size. The main exception is if the data will undergo more processing in the future, in which case the repeated lossy encoding would damage the eventual quality too much. Many multimedia data streams need to contain both audio and video data, and often some form of metadata that permits synchronization of the audio and video. Each of these three streams may be handled by different programs, processes, or hardware; but for the multimedia data stream to be useful in stored or transmitted form, they must be encapsulated together in a container format. -
Speech Compression Using Discrete Wavelet Transform and Discrete Cosine Transform
International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181 Vol. 1 Issue 5, July - 2012 Speech Compression Using Discrete Wavelet Transform and Discrete Cosine Transform Smita Vatsa, Dr. O. P. Sahu M. Tech (ECE Student ) Professor Department of Electronicsand Department of Electronics and Communication Engineering Communication Engineering NIT Kurukshetra, India NIT Kurukshetra, India Abstract reproduced with desired level of quality. Main approaches of speech compression used today are Aim of this paper is to explain and implement waveform coding, transform coding and parametric transform based speech compression techniques. coding. Waveform coding attempts to reproduce Transform coding is based on compressing signal input signal waveform at the output. In transform by removing redundancies present in it. Speech coding at the beginning of procedure signal is compression (coding) is a technique to transform transformed into frequency domain, afterwards speech signal into compact format such that speech only dominant spectral features of signal are signal can be transmitted and stored with reduced maintained. In parametric coding signals are bandwidth and storage space respectively represented through a small set of parameters that .Objective of speech compression is to enhance can describe it accurately. Parametric coders transmission and storage capacity. In this paper attempts to produce a signal that sounds like Discrete wavelet transform and Discrete cosine original speechwhether or not time waveform transform -
Polycom Voice
Level 1 Technical – Polycom Voice Level 1 Technical Polycom Voice Contents 1 - Glossary .......................................................................................................................... 2 2 - Polycom Voice Networks ................................................................................................. 3 Polycom UC Software ...................................................................................................... 3 Provisioning ..................................................................................................................... 3 3 - Key Features (Desktop and Conference Phones) ............................................................ 5 OpenSIP Integration ........................................................................................................ 5 Microsoft Integration ........................................................................................................ 5 Lync Qualification ............................................................................................................ 5 Better Together over Ethernet ......................................................................................... 5 BroadSoft UC-One Integration ......................................................................................... 5 Conference Link / Conference Link2 ................................................................................ 6 Polycom Desktop Connector ..........................................................................................