41. Analog Devices : Communities : DSP Home Page digital signal processing Community Embedded Processing Community Mixed Signal and DSP Design Techniques An informative and practical guide to signal http://www.analog.com/communities/dsp/

Parametric Search Replacement Parts Search View Cart My Account ... Email this Page Communities Audio Community Digital Signal Processing Community Embedded Processing Community All Product Categories ... Buy Online Our job is to create the technologies that literally enable consumer products and applications to become progressively more amazing at each annual CES, writes Jerry McGuire in The Technology of Art Read Jerry's Latest Column About Jerry Subscribe to this RSS feed addthis_url = location.href; addthis_title = document.title; addthis_pub = 'jmitch2'; Jerry's Archived Columns How I Got My Guitar Back November 2007 Car Makers Bring Back the 'Fin September 2007 Converging on the Sweet Spot July 2007 Will Digital Rights Stay Civil? March 2007 All Present and Accounted For December 2006 It Takes an Ecosystem October 2006 YAKA - Yet Another Killer App September 2006 Roll Over Fourier May 2006 Convergence Class Processors February 2006 Wanna Trade? December 2005 In from the Edge November 2005 "Power" is the New "Clock" July 2005 The Importance of Scalability in Emerging Multimedia Applications April 2005 Articles Solid State Logic Duende DSP Processor: SSL is Now Parting its Signature Sound into the DAW World NewsEdge Insight, November 2, 2006

42. Stratix II GX DSP Blocks Stratix® II GX devices offer features such as digital signal processing (DSP) blocks, TriMatrix™ memory, and adaptive logic modules (ALMs) that are http://www.altera.com/products/devices/stratix2gx/features/dsp/s2gx-dsp_block.ht

Literature Licensing Buy On-Line Download Entire Site Part Number Knowledge DB Home Products Support End Markets ... Literature CPLDs MAX II MAX 3000A MAX 7000 FPGAs Cyclone III Cyclone II Cyclone Stratix III ... Arria GX Structured ASICs About HardCopy Series HardCopy III HardCopy II HardCopy Stratix Device-Specific Offerings Lead-Free Extended Temperature Industrial Temperature Military Temperature Configuration Devices Enhanced Configuration Serial Configuration Mature Products Product Listing Home Products Devices ... Features Stratix II GX DSP Blocks Print This Page Subscribe to Email Stratix II GX DSP Blocks Stratix  II GX devices offer features such as digital signal processing (DSP) blocks, TriMatrix™ memory, and adaptive logic modules (ALMs) that are optimized for high-performance DSP applications. Stratix II GX devices are ideal for both high-speed communication over the backplane and chip-to-chip applications in many markets including communications, digital broadcast, and storage systems. When combined with TriMatrix memory and ALMs, DSP blocks can efficiently implement DSP algorithms such as filtering video/image processing , scaling, chip-rate processing, equalization, digital downconversion/digital upconversion (DDC/DUC), transforms , and modulation Stratix II GX DSP blocks are capable of running at 450 MHz and provide very high DSP throughput (up to 346 GMACs with 9-bit x 9-bit parallel multiplications). This is orders of magnitude higher than competing DSP processors available today. Using DSP blocks, Stratix II GX FPGAs can easily meet the DSP throughput requirements of emerging standards and protocols such as JPEG 2000, H.264, WM9, CDMA2000, 1x EV DV, HSDPA, W-CDMA, and WiMAX as shown in Table 1.

43. Advanced Signal Processing For Communication Systems - Signal, Image And Spe...J Recent advancements in communication systems performance have been only possible because of digital signal processing applied in all areas of communication http://www.springer.com/prod/b/1-4020-7202-3?referer=www.wkap.nl

44. National Instruments Acquires Digital Signal Processing Software Developer Hyper The NI LabVIEW DSP Module simplifies the development of signal processing solutions and expands the reach of DSP technology to new users and applications in http://zone.ni.com/devzone/cda/tut/p/id/3667

Cart Help What is Developer Zone? Select Your Country Document Type : Tutorial NI Supported : Yes Publish Date : Aug 16, 2007 Subscribe Add to Del.icio.us DIGG this! Feedback Rate this document Select a Rating 1- Poor 5- Excellent Answered Your Question? Yes No Related Categories Products Software LabVIEW DSP Module Academic Products ... Infinity Kit Related Links - Developer Zone Using the LabVIEW Project with LabVIEW DSP Module- Developer Zone - National Instruments Interfacing LCDs with the LabVIEW DSP Module and NI SPEEDY-33- Developer Zone - National Instruments Related Links - Products and Services NI LabVIEW DSP Module for NI SPEEDY-33 and TI DSKs - Products and Services - National Instruments LabVIEW DSP Module for NI SPEEDY-33 and TI DSK - Products and Services - National Instruments National Instruments Acquires Digital Signal Processing Software Developer Hyperception out of 5 Print Overview In December of 2003, National Instruments (NI) announced the acquisition of Hyperception, a leading designer of graphical programming tools for digital signal processing (DSP). Development teams from both companies immediately began work to integrate their products and knowledge bases, and affirmed full integration on May 17, 2005 with the announcement of the NI LabVIEW DSP Module, based on RIDE software from Hyperception. Table of Contents Graphical Programming for DSP in Education National Instruments DSP Education Kits The Infinity Project Technology Kit Hyperception RIDE ... Hyperception Product Technical Support The NI LabVIEW DSP Module simplifies the development of signal processing solutions and expands the reach of DSP technology to new users and applications in industry and academia. To learn more about the NI LabVIEW DSP Module

45. ENGnetBASE: Engineering Handbooks Online The field of digital signal processing (DSP) has spurred developments from basic theory of discretetime signals and processing tools to diverse http://www.engnetbase.com/ejournals/books/book_summary/summary.asp?id=406

46. Digital Signal Processing, University College Dublin digital signal processing University College Dublin DSP lab. http://dsp.ucd.ie/

47. EE265 Home Page Course description This course introduces the fundamentals of applied digital signal processing by implementing a wide range of digital signal processing http://www.stanford.edu/class/ee265

Welcome to EE265 Department of Electrical Engineering Stanford University Winter 2007-2008 Announcements Handouts Course Information Labs and Documents Students took EE 264 last quarter Course description: This course introduces the fundamentals of applied digital signal processing by implementing a wide range of digital signal processing (DSP) applications on the Texas Instrument (TI) TMS320C55x DSP processor. Applications covered include digitization of analog signals, FIR filtering, IIR filtering, FFT, FFT filtering, data, and wireless communication. Real-time implementation issues as well as performance tradeoffs and processor/algorithm limitations are stressed with the intent that upon completing this lab course, you will be able to apply DSP processing to your work, projects, experiments or any real-world application that you may encounter. This course can be summarized with the following questions: How do you acquire signals and what are the constraints in terms of signal bandwidth, processing throughput, storage, and error tolerance (quantization, error propagation, and aliasing). What techniques can you apply to the acquired signals such that the desired effect/specification can be achieved?

48. Adaptive Signal Processing JAVA Applet This publication presents a JAVA program for teaching the rudiments of adaptive digital signal processing (DSP) algorithms and techniques. http://www.eee.strath.ac.uk/r.w.stewart/adaptivejava/begin.htm

IEEE Return to Table of Contents Adaptive Digital Signal Processing JAVA Teaching Tool M. Harteneck, Member IEEE , R.W. Stewart, Member IEEE Submitted to IEEE Transactions on Education - Special CDROM Issue, November 1999 Abstract This publication presents a JAVA I. Introduction To proceed directly to the JAVA applet page click here Recently we have developed a custom suite of adaptive signal processing algorithms that was written in JAVA The aim of this publication is, of course, not to teach or provide a tutorial on adaptive DSP, but to present a JAVA applet which we anticipate will be of assistance to lecturers teaching adaptive DSP either from their own notes, or based on one or more of the well known textbooks and tutorial paper. For readers looking for more information on adaptive DSP we refer you to some of the textbooks and tutorial papers in the literature This publication consists of the following sections: Contents I Introduction II Adaptive DSP Review III The Adaptive JAVA Applet IV Conclusions Acknowledgments References Author Contact Information II. Adaptive DSP Review Adaptive signal processing is one of the most important classes of algorithms for modern communication systems. Telephone line modems for example now communicate at rates of 56k bps and above as a result of the integration of adaptive echo cancellers and adaptive equalization algorithms. Similarly, the new generation of mobile multimedia systems and set-top boxes will also require the use of adaptive DSP as will adaptive acoustic echo cancelation, arguably the next key ``plug-in card'' for PCs. Adaptive active noise cancellation is another hi-tech and mature technology found in the cabins of some airliners to reduce the level of noise. More generally, adaptive DSP can be found in biomedical systems, telecommunications systems, industrial control and so on. In this section we briefly review the key adaptive architectures, the generic adaptive signal processor, and also present a few applications.

49. IEEE Xplore Circuits And Systems II Analog And Digital Signal (2004 Present) Circuits and Systems II Express Briefs, IEEE Transactions on see also Circuits and Systems II Analog and digital signal processing, http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=82

50. BME/ECE 463 > Textbook:"Biomedical Digital Signal Processing" Home Textbook Biomedical digital signal processing . Folders. Spacer. No FOLDERS found. Files Sorted By name type date size author. Spacer http://ecow.engr.wisc.edu/cgi-bin/get/bme/463/tompkins/biomedical/

COLLEGE OF ENGINEERING University of Wisconsin-Madison BME/ECE 463 Fall 2007 Tompkins Computers in Medicine Show/Hide Control Panel Refresh Help Home Textbook:"Biomedical Digital Signal Processing" Folders: No FOLDERS found. Files Sorted By: name type date size ... BME DSP Table of Contents (6/8/2000 - 16.7k - PDF) Chapter 1 (6/8/2000 - 59.9k - PDF) Chapter 2 (6/8/2000 - 295.9k - PDF) Chapter 3 (6/8/2000 - 64.0k - PDF) Chapter 4 (6/8/2000 - 138.0k - PDF) Chapter 5 (6/8/2000 - 99.4k - PDF) Chapter 6 (6/8/2000 - 124.3k - PDF) Chapter 7 (6/8/2000 - 89.6k - PDF) Chapter 8 (6/8/2000 - 36.8k - PDF) Chapter 9 (6/8/2000 - 25.1k - PDF) (6/8/2000 - 85.6k - PDF) (6/8/2000 - 117.7k - PDF) (6/8/2000 - 204.6k - PDF) (6/8/2000 - 479.3k - PDF) (6/8/2000 - 29.9k - PDF) ~Appendix A (6/8/2000 - 27.5k - PDF) ~Appendix B (6/8/2000 - 21.5k - PDF) ~Appendix C (6/8/2000 - 31.7k - PDF) ~Appendix D (6/8/2000 - 52.0k - PDF) ~Appendix E (6/8/2000 - 10.0k - PDF) ~Appendix F (6/8/2000 - 35.0k - PDF) ~Appendix G (6/8/2000 - 10.4k - PDF) ~Index (6/8/2000 - 15.1k - PDF) ~QRS Detector Errata - Errors in the Pan-Tompkins algorithm discussed in Chapter 12. (12/21/2007 - 142.3k - PDF)

51. HP Labs - Renowned Digital Signal Processing Expert Named HP Fellow : Ron Schafe Ronald Schafer, recognized as one of the world s leading authorities on digital signal processing, has joined HP Labs as the newest HP Fellow. http://www.hpl.hp.com/about/honors/HPfellows/schafer.html

summary of site-wide JavaScript functionality United States-English Contact HP Search: HP Labs All of HP US Renowned digital signal processing expert named HP Fellow March 2005 HP Labs Research News and events Technical reports ... Downloads Ronald Schafer, recognized as one of the world's leading authorities on digital signal processing, has joined HP Labs as the newest HP Fellow. Schafer, who co-authored the digital signal processing field's definitive guide and did some of the earliest research in the field, will work in the Mobile and Media Systems Lab on problems of acoustic signal processing for audio communication and entertainment. Schafer joins HP from the Georgia Institute of Technology, where he and his colleagues built the world's most prestigious signal processing laboratory in academia, the Center for Signal and Image Processing. Digital Signal Processing (DSP) is the technology of representing signals such as speech, audio, and video in digital form and the modification, transmission, and storage of such digital signals using digital computation and communication. DSP underlies a wide range of modern electronic systems, from mobile phones to modems to digital cameras and multimedia PCs.

52. Digital Signal Processing - Computer Science And Intelligent Systems - The MIT P Publications 1 20 of 29 in Computer Science and Intelligent Systems digital signal processing. Sort by Title (A-Z), Sort by Title (Z-A) http://mitpress.mit.edu/catalog/browse/default.asp?cid=97&pcid=5

53. The WebEng Project - Digital Signal Processing Tools This research forms part of the WebEng project which is concerned with the development of webbased educational tools for digital signal processing (DSP) http://www.see.ed.ac.uk/~mjj/dspDemos/

Introduction Tools Conference Publications Feedback Digital Signal Processing Tools Introduction This page provides access to Java software - and related information - developed by Dr. Dave Laurenson and Dr. Mike Jackson of the Signals and System Group of the Department of Electronics and Electrical Engineering at the University of Edinburgh . This research forms part of the WebEng project which is concerned with the development of web-based educational tools for Digital Signal Processing (DSP) education. Tools Ten tools are currently available as applets running under Java 1.1. This PAGE takes you to a page allowing access to pages containing the tools we have developed. Conference Publications Jackson, M., Laurenson, D.I. and Mulgrew, B. (2001) Developing and Evaluating Java- based Educational Tools Proceedings of the First IEE Symposium - Engineering Education: Innovations in Teaching, Learning and Assessment , IEE, Savoy Place, London, January 2001. (Paper in PDF Jackson, M., Laurenson, D.I. and Mulgrew, B. (2000) Supporting DSP Education Using Java. In Padgett, W., Yoder, M.A., Anderson, D.V., Munson, D. (Eds.)

54. Digital Signal Processing Pioneer To Receive IEEE Jack S. Kilby The IEEE has named Alan V. Oppenheim as the recipient of its 2007 Jack S. Kilby Signal Processing Medal, recognizing his contributions in the field of http://www.rfglobalnet.com/content/news/article.asp?DocID={2B7E181C-B706-4404-B8

55. InformIT: Understanding Digital Signal Processing: Periodic Sampling > ALIASING: Periodic sampling, the process of representing a continuous signal with a sequence of discrete data values, pervades the field of digital signal processing. http://www.informit.com/articles/article.aspx?p=345472

56. 15th International Conference On Digital Signal Processing 15th International Conference on digital signal processing in Cardiff, Wales, UK. http://www.cf.ac.uk/engin/research/informationsystems/cdsp/DSP2007/index.html

Skip to content Skip to navigation menu 15th International Conference on Digital Signal Processing Starts: 1 July 2007 Ends:  4 July 2007 Cardiff, Wales, UK Keynote talks Professor Christian Jutten GIPSA-lab, Head of Department Images-Signal (DIS), Institute National Polytechnique of Grenoble, France: "How to apply ICA on actual data? Example of Mars hyperspectral image analysis" Professor Alex Gershman, Technical University of Darmastadt, Germany: "Robust adaptive beamforming: When the worst case is the best we can do" Professor Jose Principe, Director of Computational NeuroEngineering Laboratory, University of Florida, USA: " Brain Machine Interfaces: Modeling Strategies for Neural Signal Processing Professor Maria Petrou, Imperial College of Science Technology and Medicine, London, UK: Advanced Image Processing Professor John V. McCanny, Queen's University Belfast, Northern Ireland: " From Special Purpose VLSI Architectures to HDTV Processors and Gigabit Wireless Systems People Honorary Chair: A. G. Constantinides, Imperial College, UK Technical Chair: J. A. Chambers, Cardiff University, UK

57. ITS Our expertise ranges from digital signal processing to integrated systems design and we contribute to both theoretical and practical research efforts. http://ltswww.epfl.ch/

Signal Processing Institute ITS english only EPFL School of Engineering (STI) CONTENTS Home About Publications People ... How to find us HIGHLIGHTS News Demos Events Openings ... Seminars Welcome to the Signal Processing Institute The Signal Processing Institute (ITS) brings together researchers working at the interface between several signal modalities. Our expertise ranges from digital signal processing to integrated systems design and we contribute to both theoretical and practical research efforts. The main topics investigated within ITS include (but are not restricted to): biomedical signal/image processing computer vision data compression media delivery visual information representation and processing integrated system design multimodal signal processing NEWS: Internet in a balloon Posted by: newsmaster on 12/22/2006 06:32 PM Prof. Thiran active in a project whose goal is to offer Internet and telecommunication services from a stratospheric balloon. Swiss TV Prof. Thiran on Swiss radio Posted by: newsmaster on 09/21/2006 10:19 AM Prof. Jean-Philippe Thiran live in the main evening news report of Radio Suisse Romande (Forum).

58. Filter Design Software A C implementation of McLellan et. al. as published in Peled and Liu s digital signal processing is available as firsrc03.tar.Z (17 KB). http://www.poynton.com/Poynton-dsp.html

Charles Poynton - Filter design software This page summarizes freely-available FIR filter design software that is available, most in source code form, on the net. Much commercial software is available for designing filters. (In particular, MATLAB's filter toolbox has FIR filter design capability built-in.) Information on commercial packages is outside the scope of this page. I don't have the knowledge or resources to track the latest developments or to maintain an inventory of commercial sites of DSP vendors. DSPnet and EE Toolbox perform that function already. I maintain this page as a public service. I do the best I can to keep things up to date, but (unfortunately) I have no control over other people's e-mail addresses, web sites, ftp sites, etc. If you discover a broken link, perhaps you could spend a few minutes searching. Then, instead of sending e-mail saying "your links are broken, your site sux," you can instead send a correction that I will make as soon as I receive it. This way, we spread the workload, and we all benefit. Thanks. maxflat FIR digital filters (in Java), by

59. CSNDSP 2006 COMMUNICATION SYSTEMS, NETWORKS AND digital signal processing Fifth International Symposium. 1921 July, 2006 Electrical and Computer Engineering Department http://www.wcl.ee.upatras.gr/CSNDSP/

60. Digital Signal Processing Demonstrations These demonstrations are a compilation of Matlab scripts which have been used as lecture supplements for EE438 digital signal processing with Applications. http://www.ecn.purdue.edu/VISE/ee438/demos/Demos.html

Purdue University School of Electrical and Computer Engineering Digital Signal Processing Demonstrations Overview: These demonstrations are a compilation of Matlab scripts which have been used as lecture supplements for EE438: Digital Signal Processing with Applications. Contributors include Prof. Jan Allebach, Prof. Charles Bouman, and Prof. Michael Zoltowski. The Matlab scripts have been written over a period of several years, therefore some problems may occur when running them on the latest release of Matlab. They should currently be compatible with Matlab 6.1. If you are unfamiliar with Matlab, please refer to Purdue's ECN Matlab tutorials Basic Signals and Systems Directory Signal Operations in Matlab Signal_opps.m : Illustrates how to do basic signal manipulations in Matlab, namely time-shifting, time-reversal, up sampling, and down sampling. Signal_opps_appl.m : Performs the above operations on a speech signal, and the results are played through the sound card. *Requires the ascii data file System Analysis System_1_char.m

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