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Following up on our previous post on understanding floating point math and speed of operations on 8-bit AVRs, we ran across an excellent article today on Arduino math optimization. After some experimentation, he was able to get his version running quite a bit faster than the floating point version, and offers a detailed writeup and tips along the way.
A post on Embedded Lab that discusses using a CMOS camera for sensing applications caught our eye today. By reducing the captured resolution, discarding color data, and potentially converting the pixel values to binary information, you can still receive useful input but can parse it with a low-cost, low-power processor. The article includes an example that hooks up a CMOS available on Sparkfun (the TCM8230MD) to an AVR XMega. In case all of this talk of revolution has you fired up, we’ve collected some of the best books to help you learn electronics.
As the Arduino surges in popularity, people keep dreaming up crazier and more complex ways to use it.

A new Kickstarter project aims to provide a low-cost, open source platform for building a GPS tracking device. The tracker consists of a GSM cellular modem, a GPS unit, and an accelerometer, all tied to an Arduino and a LiPo battery to provide brains and power, respectively. Reproduction of site books is authorized only for informative purposes and strictly for personal, private use.
Just as we found in our brief testing, the easiest AVR math optimization is to avoid division, since these processors don’t have a native divide instruction. Traditionally, to process the output from a CMOS you need some serious number-crunching power, and common lore holds that most 8-bit microcontrollers aren’t up to the task. In this way, an 8-bit chip can open the door to basic image processing, allowing for lots of possibilities in robotics or other projects. Without it, there would be no microprocessors, no grids of tiny transistors to switch on and off and do our bidding millions of times per second.

With Make: Electronics, you'll start working on real projects as soon as you crack open the book.
An exponential moving average normally requires floating point arithmetic, but due to the lack of native support on 8-bit AVRs, Alan worked out a way to do it with fixed point math. Explore all of the key components and essential principles through a series of fascinating experiments.

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Comments to “E books on electronics and communication ltd”

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