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Pico Computing has developed a signal processing library which is made up of a set of FPGA firmware components and related tools that speed the development and deployment of advanced video and network analytics for security, defense and aerospace applications.The library, which includes flexible components for signal analysis, feature detection, scale-space generation, correlation and filtering, has been validated and optimized for Pico Computing platforms based on the latest-generation Xilinx Virtex-5 and Virtex-6 FPGA devices.

DSP core licensor Ceva Inc. is due to unveil a software-programmable multimedia video processor architecture at the Mobile World Congress in Barcelona next week. The multicore architecture, called MM3000, which comes complete with C compilers, power management provision and an RTOS/multithreading scheduler is intended to be able to process any and all video codecs up to the highest resolutions and frame rates currently available as well as future codecs for things like 3-D video.

Verification of algorithm-intensive systems is a long, costly process. Studies show that the majority of flaws in embedded systems are introduced at the specification stage, but are not detected until late in the development process. These flaws are the dominant cause of project delays and a major contributor to engineering costs. For algorithm-intensive systems —including systems with communications, audio, video, imaging, and navigation functions— these delays and costs are exploding as system complexity increases. It doesn't have to be this way. Many designers of algorithm-intensive systems already have the tools they need to get verification under control. Engineers can use these same tools to build system models that help them find and correct problems earlier in the development process. This can not only reduce verification time, but also improves the performance of their designs. In this article, we'll explain three practical approaches to early verification that make this possible. First, let's examine why the current algorithm verification process is inefficient and error-prone. In a typical workflow, designs start with algorithm developers, who pass the design to hardware and software teams using specification documents.

A new triple-rate (3G/HD/SD) audio/video clock generator from National Semiconductor Corp., eliminates the need for external clock conditioning in professional and broadcast video equipment. The LMH1983 produces all the major video and audio reference clocks required for a broad range of applications. The highly integrated LMH1983 also provides the industry’s lowest-output jitter (40 ps peak-to-peak), enabling Society of Motion Picture and Television Engineers (SMPTE) compliance using field-programmable gate array (FPGA) SerDes transceivers.

Opus is Octasic's high-performing, ultra low-power, asynchronous DSP technology optimized for basestations, video processing and media gateway solutions. Asynchronous designs deliver similar computing performance to synchronous designs, but use less silicon and less power. No clock tree No state-elements Less sensitive to process and temperature variations

Badaboom is a blazingly fast media converter that formats video files for a variety of devices, including iPod, PSP, Blackberry, and YouTube, by using your system's graphics processing unit (GPU).  Check out the newly released Badaboom version 1.2.1. Install the Free Trial today and try it yourself!

Researchers at the NanoRobotics Laboratory of the École Polytechnique de Montréal, in Canada, are putting swarms of bacteria to work, using them to perform micro-manipulations and even propel microrobots. Led by Professor Sylvain Martel, the researchers want to use flagellated bacteria to carry drugs into tumors, act as sensing agents for detecting pathogens, and operate micro-factories that could perform pharmacological and genetic tests. They also want to use the bacteria as micro-workers for building things. Things like a tiny step pyramid. The video below shows some 5000 bacteria moving like a swarm of little fish, working together to transport tiny epoxy bricks and assemble a pyramidal structure -- all in 15 minutes. The video was presented at IROS last year, along with a wonderfully titled paper, "A Robotic Micro-Assembly Process Inspired By the Construction of the Ancient Pyramids and Relying on Several Thousands of Flagellated Bacteria Acting as Workers."

There's an interesting video on YouTube from Binary Millenium showing how to make a 3D model out of real objects using Microsoft's Photosynth. It's an interesting idea that while unofficial, may be a big time saver and a lot of fun for many of you. This will work best if you use a Photosynth that not only has a high rate of 'synthiness' but also tons of points in the point cloud. A point in the point cloud means that a specific feature in two more photos has been identified allowing for Photosynth to some degree determine where in space that point exists. While a good Photosynth might have 100% synthiness, meaning all the pictures were connected, it doesn't necissarily mean there will be lots of points in the point cloud.

There's an interesting video on YouTube from Binary Millenium showing how to make a 3D model out of real objects using Microsoft's Photosynth. It's an interesting idea that, while unofficial, may be a big time saver and a lot of fun for many of you. This will work best if you use a Photosynth that not only has a high rate of 'synthiness' but also lots of points in the point cloud. A point in the point cloud means that a specific feature has been identified in two or more photos, allowing for Photosynth to determine to some degree where in space that point exists. While a good Photosynth might have 100% synthiness, meaning all the pictures are connected, it doesn't necessarily mean there will be lots of points in the point cloud.