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Mercury Releases OpenSAL - Open Source Version of Scientific Algorithm Library | Milita... - 0 views

  • CHELMSFORD, MA.  October 7, 2010  Mercury Computer Systems, Inc. (NASDAQ: MRCY, www.mc.com), a trusted ISR subsystems provider, announced the availability of OpenSAL, an open source version of its award-winning Scientific Algorithm Library (SAL) for vector math acceleration. SAL is a high-throughput, low-latency signal processing library containing efficient algorithms with the fewest possible instructions and computing resources. OpenSAL provides a robust API, C code reference design and documentation for over 400 SAL math functions.
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・e-nuvo HUMANOID - 0 views

  • The Nippon Institute of Technology, with Harada Vehicle Design, ZMP, and ZNUG Design, have developed a humanoid robot about the size of an elementary school student for educational purposes.  The university adopted 35 of ZMP’s e-nuvo WALK robots in 2004 for a 1:1 student-robot ratio.  Whereas the e-nuvo WALK (the educational version of NUVO) is quite small, the new robot is tall enough to interact with its environment in a more meaningful way.  Students will demonstrate the robot at elementary and junior high schools, as well as care facilities.  The goal is to improve student learning by raising awareness of bipedal robot technology and its connection to math and physics, while also giving them hands-on experience with the bot.  Additionally, by visiting care facilities the university students will come to understand the real-world needs and applications for robots.
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    The Nippon Institute of Technology, with Harada Vehicle Design, ZMP, and ZNUG Design, have developed a humanoid robot about the size of an elementary school student for educational purposes.  The university adopted 35 of ZMP's e-nuvo WALK robots in 2004 for a 1:1 student-robot ratio.  Whereas the e-nuvo WALK (the educational version of NUVO) is quite small, the new robot is tall enough to interact with its environment in a more meaningful way.  Students will demonstrate the robot at elementary and junior high schools, as well as care facilities.  The goal is to improve student learning by raising awareness of bipedal robot technology and its connection to math and physics, while also giving them hands-on experience with the bot.  Additionally, by visiting care facilities the university students will come to understand the real-world needs and applications for robots.\nThe e-nuvo HUMANOID stands 126cm (4′) tall and weighs 15kg (33 lbs), with 21 degrees of freedom (2 legs x6, 2 arms x3, head x3), powered by a Lithium Ion battery.  It is equipped with the usual sensors including cameras, accelerometers, gyro sensors, obstacle detection sensors, distance sensors, and peizoelectric sensors, and can be controlled via PC or remote controller.  Besides basic speech capabilities, the robot can serve as a kind of teacher's assistant, since it has a built-in projector which will allow it to display diagrams on a blackboard that might be difficult to explain in words alone.  The robot will be programmed using Microsoft Robotics Developer Studio, which the students have been using to test control algorithms for the e-nuvo WALK robots
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Amazon Web Services Blog: AWS For High Performance Cloud Computing - NASA, MATLAB - 0 views

  • The MATLAB team at MathWorks tested performance scaling of the backslash ("\") matrix division operator to solve for x in the equation A*x = b. In their testing, matrix A occupies far more memory (290 GB) than is available in a single high-end desktop machine—typically a quad core processor with 4-8 GB of RAM, supplying approximately 20 Gigaflops. Therefore, they spread the calculation across machines. In order to solve linear systems of equations they need to be able to access all of the elements of the array even when the array is spread across multiple machines. This problem requires significant amounts of network communication, memory access, and CPU power. They scaled up to a cluster in EC2, giving them the ability to work with larger arrays and to perform calculations at up to 1.3 Teraflops, a 60X improvement. They were able to do this without making any changes to the application code. Here's a graph showing the near-linear scalability of an EC2 cluster across a range of matrix sizes with corresponding increases in cluster size for MATLAB's parallel backslash operator:
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Cleve's Corner - "Magic" Reconstruction: Compressed Sensing - MathWorks Newsletter - 1 views

  • When I first heard about compressed sensing, I was skeptical. There were claims that it reduced the amount of data required to represent signals and images by huge factors and then restored the originals exactly. I knew from the Nyquist-Shannon sampling theorem that this is impossible. But after learning more about compressed sensing, I’ve come to realize that, under the right conditions, both the claims and the theorem are true. The Nyquist-Shannon sampling theorem states that to restore a signal exactly and uniquely, you need to have sampled with at least twice its frequency. Of course, this theorem is still valid; if you skip one byte in a signal or image of white noise, you can’t restore the original. But most interesting signals and images are not white noise. When represented in terms of appropriate basis functions, such as trig functions or wavelets, many signals have relatively few non-zero coefficients. In compressed (or compressive) sensing terminology, they are sparse.
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Wolfram Blog : aMAZEing Image Processing in Mathematica - 1 views

  • A little over a mile from the Wolfram Research Europe Ltd. office, where I work, lies Blenheim Palace, which has a rather nice hedge maze. As I was walking around it on the weekend, I remembered a map solving example by Peter Overmann using new image processing features in an upcoming version of Mathematica. I was excited to apply the idea to this real-world example. Once back at my computer, I started by using Bing Maps to get the aerial photo (data created by Intermap, NAVTEQ, and Getmapping plc).
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Implementing the Viterbi algorithm in modern digital communications systems - 0 views

  • With the consumer demand for richer content and its resultant , increasing high data bandwidth continuing to drive communications systems, coding for error control has become extraordinarily important. One way to improve the bit error rate (BER), while maintaining high data reliability, is to use an error correction technique like the Viterbi algorithm. Originally conceived by Andrew Viterbi as an error-correction scheme for noisy digital communication, the Viterbi algorithm provides an efficient method for forward error correction (FEC) that improves channel reliability. Today, it is used in many digital communications systems in applications as diverse as CDMA and GSM digital cellular, dial-up modems, satellite, deep-space communications and 802.11 wireless LANs. It is also commonly used in speech recognition, keyword spotting and computational linguistics.
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Causality (A Convenient Construct) - 0 views

  • No currently accepted scientific theory makes use of the notion of causality. Scientists may interpret some math equations involved in a scientific theory to denote causality—but unlike, say, “force” or “attraction”, causality is not really part of the formal language of modern science. Roughly, causality consists of “predictive implication, plus assumption of a causal mechanism.” Predictive implications are part of science: science can tell us “If X happens, then expect Y to happen with a certain probability.” But science cannot tell us whether X is the “cause” of Y, versus them both habitually being part of some overall coordinated process.
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Mathematics and Art - O'Reilly Radar - 1 views

  • Nikki Graziano's intriguing integration of mathematical curves into her photography sparked a Radar discussion about the relationship between mathematics and the real world. Does her work give insight into the nature of mathematics? Or into the nature of the world? And if so, what kind of insight? Mathematically, matching one curve to another isn't a big deal. Given N points, it's trivial to write an N+1 degree equation that passes through all of them. There are many more subtle ways of solving the same problem, with more aesthetically pleasing results: you can use sine functions, wavelets, square waves, whatever you want. Take out a ruler, measure some points, plug them into Mathematica, and in seconds you can generate as many curves as you like. So finding an equation that matches the curve of an artfully trimmed hedge is easy. The question is whether that curve tells us anything, or whether it's just another stupid math trick.
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TI multicore SoC is a bag of nice ideas | DSP DesignLine - 0 views

  • While the new multicore system on chip (SoC) signal-processing architecture announced by Texas Instruments this week at Mobile World Congress hits all the right notes with respect to what's needed in next-generation basestation designs, it rings a bit hollow given how sketchy the architectural details remain when contrasted with more 'real' announcements from the likes of Freescale. For sure, the requirements of next-generation basestations will push all architectures to their limits and beyond. Balancing lower power and lower cost with increasingly parallel, math-intensive processing to meet multiuser demands for high-data-rate data in 3GPP Long Term Evolution (LTE) Release 8 all-IP networks is not going to be easy, especially with the introduction of MIMO, beam forming, OFDMA and many other enhancements engineered to maximize spectral efficiency.
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    This is pretty kool.....
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F# in ASP.NET, mathematics and testing | .NET Zone - 0 views

  • Starting from Visual Studio 2010 F# is full member of .NET Framework languages family. It is functional language with syntax specific to functional languages but I think it is time for us also notice and study functional languages. In this posting I will show you some examples about cool things other people have done using F#.
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