Very low cost, low component count charger/adapter – replaces linear transformer based solutions
• Extremely simple circuit configuration designed for high volume, low cost manufacturing
The EM algorithm is short for Expectation-Maximization algorithm. It is based on an iterative optimization of the centers and widths of the kernels. The aim is to optimize the likelihood that the given data points are generated by a mixture of Gaussians. The numbers next to the Gaussians give the relative importance (amplitude) of each component.
KVM (for Kernel-based Virtual Machine) is a full virtualization solution for Linux on x86 hardware. It consists of a loadable kernel module (kvm.ko) and a userspace component.
Using KVM, one can run multiple virtual machines running unmodified Linux or Windows images. Each virtual machine has private virtualized hardware: a network card, disk, graphics adapter, etc.
The kernel component of KVM is included in mainline Linux, and will appear in Linux 2.6.20.
KVM is open source software.
The P89LPC938 is a single-chip microcontroller, available in low cost packages, based on
a high performance processor architecture that executes instructions in two to four clocks,
six times the rate of standard 80C51 devices. Many system-level functions have been
incorporated into the P89LPC938 in order to reduce component count, board space, and
system cost.
As I write this foreword, I am collaborating with four leading user interface
(UI) component vendors on a presentation for the 2004 JavaOneSM conference.
In our presentation, the vendors will show how they leverage JavaServerTM
Faces technology in their products. While developing the presentation, I am
learning some things about the work we’ve been doing on JavaServer Faces for
the past three years. The vendors have their own set of concerns unique to
adapting their product for JavaServer Faces, but they all voice one opinion
loud and clear: they are very relieved to finally have a standard for web-based
user interfaces.
The Hilbert Transform is an important component in communication systems, e.g. for single sideband modulation/demodulation, amplitude and phase detection, etc. It can be formulated as filtering operation which makes it possible to approximate the Hilbert Transform with a digital filter. Due to the non-causal and infinite impulse response of that filter, it is not that easy to get a good approximation with low hardware resource usage. Therefore, different filters with different complexities have been implemented.
The detailed discussion can be found in "Digital Hilbert Transformers or FPGA-based Phase-Locked Loops" (http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4629940).
The design is fully pipelined for maximum throughput.
