Action-Sound Latency: Are Our Tools Fast Enough?
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Latency and Throughput Optimization in Modern Networks: a Comprehensive Survey Amir Mirzaeinnia, Mehdi Mirzaeinia, and Abdelmounaam Rezgui
READY TO SUBMIT TO IEEE COMMUNICATIONS SURVEYS & TUTORIALS JOURNAL 1 Latency and Throughput Optimization in Modern Networks: A Comprehensive Survey Amir Mirzaeinnia, Mehdi Mirzaeinia, and Abdelmounaam Rezgui Abstract—Modern applications are highly sensitive to com- On one hand every user likes to send and receive their munication delays and throughput. This paper surveys major data as quickly as possible. On the other hand the network attempts on reducing latency and increasing the throughput. infrastructure that connects users has limited capacities and These methods are surveyed on different networks and surrond- ings such as wired networks, wireless networks, application layer these are usually shared among users. There are some tech- transport control, Remote Direct Memory Access, and machine nologies that dedicate their resources to some users but they learning based transport control, are not very much commonly used. The reason is that although Index Terms—Rate and Congestion Control , Internet, Data dedicated resources are more secure they are more expensive Center, 5G, Cellular Networks, Remote Direct Memory Access, to implement. Sharing a physical channel among multiple Named Data Network, Machine Learning transmitters needs a technique to control their rate in proper time. The very first congestion network collapse was observed and reported by Van Jacobson in 1986. This caused about a I. INTRODUCTION thousand time rate reduction from 32kbps to 40bps [3] which Recent applications such as Virtual Reality (VR), au- is about a thousand times rate reduction. Since then very tonomous cars or aerial vehicles, and telehealth need high different variations of the Transport Control Protocol (TCP) throughput and low latency communication. -
Estimation of Direction of Arrival of Acoustic Signals Using Microphone
Time-Delay-Estimate Based Direction-of-Arrival Estimation for Speech in Reverberant Environments by Krishnaraj Varma Thesis submitted to the Faculty of The Bradley Department of Electrical and Computer Engineering Virginia Polytechnic Institute and State University in partial fulfillment of the requirements for the degree of Master of Science in Electrical Engineering APPROVED Dr. A. A. (Louis) Beex, Chairman Dr. Ira Jacobs Dr. Douglas K. Lindner October 2002 Blacksburg, VA KEYWORDS: Microphone array processing, Beamformer, MUSIC, GCC, PHAT, SRP-PHAT, TDE, Least squares estimate © 2002 by Krishnaraj Varma Time-Delay-Estimate Based Direction-of-Arrival Estimation for Speech in Reverberant Environments by Krishnaraj Varma Dr. A. A. (Louis) Beex, Chairman The Bradley Department of Electrical and Computer Engineering (Abstract) Time delay estimation (TDE)-based algorithms for estimation of direction of arrival (DOA) have been most popular for use with speech signals. This is due to their simplicity and low computational requirements. Though other algorithms, like the steered response power with phase transform (SRP-PHAT), are available that perform better than TDE based algorithms, the huge computational load required for this algorithm makes it unsuitable for applications that require fast refresh rates using short frames. In addition, the estimation errors that do occur with SRP-PHAT tend to be large. This kind of performance is unsuitable for an application such as video camera steering, which is much less tolerant to large errors than it is to small errors. We propose an improved TDE-based DOA estimation algorithm called time delay selection (TIDES) based on either minimizing the weighted least squares error (MWLSE) or minimizing the time delay separation (MWTDS). -
TA-1VP Vocal Processor
D01141720C TA-1VP Vocal Processor OWNER'S MANUAL IMPORTANT SAFETY PRECAUTIONS ªª For European Customers CE Marking Information a) Applicable electromagnetic environment: E4 b) Peak inrush current: 5 A CAUTION: TO REDUCE THE RISK OF ELECTRIC SHOCK, DO NOT REMOVE COVER (OR BACK). NO USER- Disposal of electrical and electronic equipment SERVICEABLE PARTS INSIDE. REFER SERVICING TO (a) All electrical and electronic equipment should be QUALIFIED SERVICE PERSONNEL. disposed of separately from the municipal waste stream via collection facilities designated by the government or local authorities. The lightning flash with arrowhead symbol, within equilateral triangle, is intended to (b) By disposing of electrical and electronic equipment alert the user to the presence of uninsulated correctly, you will help save valuable resources and “dangerous voltage” within the product’s prevent any potential negative effects on human enclosure that may be of sufficient health and the environment. magnitude to constitute a risk of electric (c) Improper disposal of waste electrical and electronic shock to persons. equipment can have serious effects on the The exclamation point within an equilateral environment and human health because of the triangle is intended to alert the user to presence of hazardous substances in the equipment. the presence of important operating and (d) The Waste Electrical and Electronic Equipment (WEEE) maintenance (servicing) instructions in the literature accompanying the appliance. symbol, which shows a wheeled bin that has been crossed out, indicates that electrical and electronic equipment must be collected and disposed of WARNING: TO PREVENT FIRE OR SHOCK separately from household waste. HAZARD, DO NOT EXPOSE THIS APPLIANCE TO RAIN OR MOISTURE. -
Re-20 Om.Pdf
RE-20_e.book 1 ページ 2007年6月8日 金曜日 午後4時32分 Thank you, and congratulations on your choice of the BOSS RE-20 Space Echo. Before using this unit, carefully read the sections entitled: “USING THE UNIT SAFELY” and “IMPORTANT NOTES” (separate sheet). These sections provide important information concerning the proper operation of the unit. Additionally, in order to feel assured that you have gained a good understanding of every feature provided by your new unit, this manual should be read in its entirety. The manual should be saved and kept on hand as a convenient reference. Main Features ● The RE-20 uses COSM technology to faithfully simulate the characteristics of the famed Roland SPACE ECHO RE-201. ● Faithfully reproduces the characteristics of the RE-201, including the echo’s distinctive wow- and flutter-induced wavering and the compressed sound obtained with magnetic saturation. ● The Mode Selector carries on the tradition of the RE-201, offering twelve different reverberation effects through various combinations of the three playback heads and reverb. ● You can set delay times with the TAP input pedal and use an expression pedal (sold separately) for controlling parameters. ● Equipped with a “Virtual Tape Display,” which produces a visual image of a running tape. About COSM (Composite Object Sound Modeling) Composite Object Sound Modeling—or “COSM” for short—is BOSS/Roland’s innovative and powerful technology that’s used to digitally recreate the sound of classic musical instruments and effects. COSM analyzes the many factors that make up the original sound—including its electrical and physical characteristics—and creates a digital model that accurately reproduces the original. -
Measuring Latency Variation in the Internet
Measuring Latency Variation in the Internet Toke Høiland-Jørgensen Bengt Ahlgren Per Hurtig Dept of Computer Science SICS Dept of Computer Science Karlstad University, Sweden Box 1263, 164 29 Kista Karlstad University, Sweden toke.hoiland- Sweden [email protected] [email protected] [email protected] Anna Brunstrom Dept of Computer Science Karlstad University, Sweden [email protected] ABSTRACT 1. INTRODUCTION We analyse two complementary datasets to quantify the la- As applications turn ever more interactive, network la- tency variation experienced by internet end-users: (i) a large- tency plays an increasingly important role for their perfor- scale active measurement dataset (from the Measurement mance. The end-goal is to get as close as possible to the Lab Network Diagnostic Tool) which shed light on long- physical limitations of the speed of light [25]. However, to- term trends and regional differences; and (ii) passive mea- day the latency of internet connections is often larger than it surement data from an access aggregation link which is used needs to be. In this work we set out to quantify how much. to analyse the edge links closest to the user. Having this information available is important to guide work The analysis shows that variation in latency is both com- that sets out to improve the latency behaviour of the inter- mon and of significant magnitude, with two thirds of sam- net; and for authors of latency-sensitive applications (such ples exceeding 100 ms of variation. The variation is seen as Voice over IP, or even many web applications) that seek within single connections as well as between connections to to predict the performance they can expect from the network. -
Implementing an M-Fold Wah-Wah Filter in Matlab
“What if we had, not one Wah Wah Filter, not two, but 20?”: Implementing an M-Fold Wah-Wah Filter in Matlab Digital Audio Systems, DESC9115, 2020 Master of Interaction Design & Electronic Arts (Audio and Acoustics) Sydney School of Architecture, Design and Planning, The University of Sydney ABSTRACT An M-fold Wah-Wah filter can be described as an effect where multiple Wah-Wah filters are applied to a signal, each at a certain frequency range. This report describes the implementation of such a filter in Matlab. By using preexisting code on a single state-variable bandpass filter, multiple bandpass filters are implemented across a defined frequency spectrum. The filter is adjustable through a number of variables, these being: the number of bandpass filters (M), the damping factor of each filter, the spectrum for which the filters are applied, as well as the Wah Frequency, i.e. the number of cycles through each bandpass. 1. INTRODUCTION The Wah-Wah filter is commonly used by guitarist to alter the shape and tone of the note(s) they are playing. The effect can be described as the combination of ‘u’ and ‘ah’ sounds created by human voice. The mouth’s shape here going from a small O to a big O. The center frequencies are called “formants”. The Wah-Wah pedal works in a similar manner, the formants shifts creating a “wah” sound. The Wah-Wah filter is a time-varying delay line filter. Each filter has a set of unique characteristics such as the range of frequencies the effect is applied to and its Wah- Frequency, i.e. -
The Effects of Latency on Player Performance and Experience in A
The Effects of Latency on Player Performance and Experience in a Cloud Gaming System Robert Dabrowski, Christian Manuel, Robert Smieja May 7, 2014 An Interactive Qualifying Project Report: submitted to the Faculty of the WORCESTER POLYTECHNIC INSTITUTE in partial fulfillment of the requirements for the Degree of Bachelor of Science Approved by: Professor Mark Claypool, Advisor Professor David Finkel, Advisor This report represents the work of three WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its web site without editorial or peer review. Abstract Due to the increasing popularity of thin client systems for gaming, it is important to un- derstand the effects of different network conditions on users. This paper describes our experiments to determine the effects of latency on player performance and quality of expe- rience (QoE). For our experiments, we collected player scores and subjective ratings from users as they played short game sessions with different amounts of additional latency. We found that QoE ratings and player scores decrease linearly as latency is added. For ev- ery 100 ms of added latency, players reduced their QoE ratings by 14% on average. This information may provide insight to game designers and network engineers on how latency affects the users, allowing them to optimize their systems while understanding the effects on their clients. This experiment design should also prove useful to thin client researchers looking to conduct user studies while controlling not only latency, but also other network conditions like packet loss. Contents 1 Introduction 1 2 Background Research 4 2.1 Thin Client Technology . -
Subwoofer Arrays: a Practical Guide
Subwoofer Arrays A Practical Guide VVVeVeeerrrrssssiiiioooonnnn 111 EEElEllleeeeccccttttrrrroooo----VVVVooooiiiicccceeee,,,, BBBuBuuurrrrnnnnssssvvvviiiilllllleeee,,,, MMMiMiiinnnnnneeeessssoooottttaaaa,,,, UUUSUSSSAAAA AAApAppprrrriiiillll,,,, 22202000009999 © Bosch Security Systems Inc. Subwoofer Arrays A Practical Guide Jeff Berryman Rev. 1 / June 7, 2010 TABLE OF CONTENTS 1. Introduction .......................................................................................................................................................1 2. Acoustical Concepts.......................................................................................................................................2 2.1. Wavelength ..........................................................................................................................................2 2.2. Basic Directivity Rule .........................................................................................................................2 2.3. Horizontal-Vertical Independence...................................................................................................3 2.4. Multiple Sources and Lobing ...........................................................................................................3 2.5. Beamforming........................................................................................................................................5 3. Gain Shading....................................................................................................................................................6 -
Improving Mobile IP Handover Latency on End-To-End TCP in UMTS/WCDMA Networks
Improving Mobile IP Handover Latency on End-to-End TCP in UMTS/WCDMA Networks Chee Kong LAU A thesis submitted in fulfilment of the requirements for the degree of Master of Engineering (Research) in Electrical Engineering School of Electrical Engineering and Telecommunications The University of New South Wales March, 2006 CERTIFICATE OF ORIGINALITY I hereby declare that this submission is my own work and to the best of my knowledge it contains no materials previously published or written by another person, nor material which to a substantial extent has been accepted for the award of any other degree or diploma at UNSW or any other educational institution, except where due acknowledgement is made in the thesis. Any contribution made to the research by others, with whom I have worked at UNSW or elsewhere, is explicitly acknowledged in the thesis. I also declare that the intellectual content of this thesis is the product of my own work, except to the extent that assistance from others in the project's design and conception or in style, presentation and linguistic expression is acknowledged. (Signed)_________________________________ i Dedication To: My girl-friend (Jeslyn) for her love and caring, my parents for their endurance, and to my friends and colleagues for their understanding; because while doing this thesis project I did not manage to accompany them. And Lord Buddha for His great wisdom and compassion, and showing me the actual path to liberation. For this, I take refuge in the Buddha, the Dharma, and the Sangha. ii Acknowledgement There are too many people for their dedications and contributions to make this thesis work a reality; without whom some of the contents of this thesis would not have been realised. -
Effect Types and Parameters
Effect Types and Parameters © 2017 ZOOM CORPORATION Manufacturer names and product names are trademarks or registered trademarks of their respective owners. The names are used only to illustrate sonic characteristics and do not indicate any affiliation with the Zoom Corporation. Effect explanation overview Pedal control possible icon Effect type Effect explanation Parameter range PDL Vol The volume curve of the volume pedal can be set. VOL Adjusts the volume. 0 – 100 P Min Adjusts the volume when the pedal is at minimum position. 0 – 100 Max Adjusts the volume when the pedal is at maximum position. 0 – 100 Curve Sets the volume curve. A , B Effect Screen Parameter Parameter explanation Tempo synchronization possible icon Contents DYNAMICS 3 FILTER 4 DRIVE 6 AMP 8 CABINET 9 MODULATION 10 SFX 12 DELAY 13 REVERB 14 PEDAL 15 Additional tables 16 2 3 Effect Types and Parameters [ DYNAMICS ] SlowATTCK This effect slows the attack of each note, resulting in a violin-like performance. Time Adjusts the attack time. 1 – 50 Curve Set the curve of volume change during attack. 0 – 10 Tone Adjusts the tone. 0 – 100 VOL Adjusts the volume. 0 – 100 ZOOM's unique noise reduction cuts noise during pauses in playing without affecting ZNR the tone. GTRIN , DETCT Sets control signal detection level. EFXIN Depth Sets the depth of noise reduction. 0 – 100 THRSH Adjusts the effect sensitivity. 0 – 100 Decay Adjust the envelope release. 0 – 100 This is a simulation of the Demeter COMP-1 Compulator. BlackOpt Added parameters allow you to adjust the tone. Comp Adjusts the depth of the compression. -
Digital Guitar Effects Pedal
Digital Guitar Effects Pedal 01001000100000110000001000001100 010010001000 Jonathan Fong John Shefchik Advisor: Dr. Brian Nutter Texas Tech University SPRP499 [email protected] Presentation Outline Block Diagram Input Signal DSP Configuration (Audio Processing) Audio Daughter Card • Codec MSP Configuration (User Peripheral Control) Pin Connections User Interfaces DSP Connection MSP and DSP Connections Simulink Modeling MSP and DSP Software Flowcharts 2 Objective \ Statements To create a digital guitar effects pedal All audio processing will be done with a DSP 6711 DSK board With an audio daughter card All user peripherals will be controlled using a MSP430 evaluation board Using the F149 model chip User Peripherals include… Floor board switches LCD on main unit Most guitar effect hardware that is available on the market is analog. Having a digital system would allow the user to update the system with new features without having to buy new hardware. 3 Block Diagram DSP 6711 DSK Board Audio Daughter Card Input from Output to Guitar ADC / DAC Amplifier Serial 2 RX Serial 2 [16 bit] Data Path Clock Frame Sync Serial 2 TX MSP 430 Evaluation Board [16 bit] GPIO (3) Outlet MSP430F149 TMS320C6711 Power Supply GND +5V Data Bus (8) RS LEDs (4) EN Voltage +3.3V to MSP R/W Switch Select (4) +5V to LCD LCD Footboard Regulator +0.7V to LCD Drive Display Switch 4 Guitar Input Signal Voltage Range of Input Signal Nominal ~ 300 mV peak-to-peak Maximum ~ 3 V Frequency Range Standard Tuning 500 Hz – 1500 Hz 5 Hardware: DSP -
Evaluating the Latency Impact of Ipv6 on a High Frequency Trading System
Evaluating the Latency Impact of IPv6 on a High Frequency Trading System Nereus Lobo, Vaibhav Malik, Chris Donnally, Seth Jahne, Harshil Jhaveri [email protected] , [email protected] , [email protected] , [email protected] , [email protected] A capstone paper submitted as partial fulfillment of the requirements for the degree of Masters in Interdisciplinary Telecommunications at the University of Colorado, Boulder, 4 May 2012. Project directed by Dr. Pieter Poll and Professor Andrew Crain. 1 Introduction Employing latency-dependent strategies, financial trading firms rely on trade execution speed to obtain a price advantage on an asset in order to earn a profit of a fraction of a cent per asset share [1]. Through successful execution of these strategies, trading firms are able to realize profits on the order of billions of dollars per year [2]. The key to success for these trading strategies are ultra-low latency processing and networking systems, henceforth called High Frequency Trading (HFT) systems, which enable trading firms to execute orders with the necessary speed to realize a profit [1]. However, competition from other trading firms magnifies the need to achieve the lowest latency possible. A 1 µs latency disadvantage can result in unrealized profits on the order of $1 million per day [3]. For this reason, trading firms spend billions of dollars on their data center infrastructure to ensure the lowest propagation delay possible [4]. Further, trading firms have expanded their focus on latency optimization to other aspects of their trading infrastructure including application performance, inter-application messaging performance, and network infrastructure modernization [5].