Session Initiation Protocol (SIP) [1] is fast becoming the protocol of choice for IP based communication
– specifically telephony (Voice over Internet Protocol - VoIP), video, and instant
messaging.
As science advances, novel experiments are becoming more and more complex, requiring a zoo of control devices and electronics executing complicated sequences of steps. Device availability and monetary constrains usually lead to a highly heterogeneous setup with components from several different manufacturers using many different protocols and interfacing mechanisms. This often results in control software being puzzled together to use and provide a multitude of interfacing and control functionality, each using their own calling conventions, data structures, etc. To make matters worse, usually a group of relatively independent programmers is trying to write and maintain the code base. Often this causes extensive duplication of effort as program segments are hard to reuse, since unpredictable changes to the segments by the original authors might compromise other code using these segments.
The use of hardware description languages (HDLs) is becoming
increasingly common for designing and verifying FPGA designs.
Behavior level description not only increases design productivity, but also
provides unique advantages for design verification. The most dominant
HDLs today are Verilog and VHDL. This application note illustrates the
use of Verilog in the design and verification of a digital UART (Universal
Asynchronous Receiver & Transmitter).
This guide explains how data networks operate, why data systems are becoming more complicated, and how data networks are changing to permit broadband services and applications.
Table of Contents
Introduction To Data Networks—PDN, LAN, MAN, WAN, and Wireless Data, Technologies and Systems
Data Networks
List of Figures
Control systems are becoming increasingly dependent on digital processing and so require sensors able to provide direct digital inputs. Sensors based on time measurement, having outputs based on a frequency or phase, have an advantage over conventional analogue sensors in that their outputs can be measured directly in digital systems by pulse counting.
As environmental concerns over traditional lighting increaseand the price of LEDs decreases, high power LEDsare fast becoming a popular lighting solution for offl ineapplications. In order to meet the requirements of offl inelighting—such as high power factor, high effi ciency, isolationand TRIAC dimmer compatibility—prior LED driversused many external discrete components, resulting incumbersome solutions. The LT®3799 solves complexity,space and performance problems by integrating all therequired functions for offl ine LED lighting.
In an increasing trend, telecommunications, networking,audio and instrumentation require low noise power supplies.In particular, there is interest in low noise, lowdropout linear regulators (LDO). These components powernoise-sensitive circuitry, circuitry that contains noisesensitiveelements or both. Additionally, to conserve power,particularly in battery driven apparatus such as cellulartelephones, the regulators must operate with low input-tooutputvoltages.1 Devices presently becoming availablemeet these requirements (see separate section, “A Familyof 20mVRMS Noise, Low Dropout Regulators”).
Field Programmable Gate Arrays (FPGAs) are becoming a critical part of every system design. Many vendors offer many different architectures and processes. Which one is right for your design? How do you design one of these so that it works correctly and functions as you expect in your entire system? These are the questions that this paper sets out to answer.
Field Programmable Gate Arrays (FPGAs) are becoming a critical part of every system design. Many vendors offer many different architectures and processes. Which one is right for your design? How do you design one of these so that it works correctly and functions as you expect in your entire system? These are the questions that this paper sets out to answer.
The ability to write efficient, high-speed arithmetic routines ultimately depends
upon your knowledge of the elements of arithmetic as they exist on a computer. That
conclusion and this book are the result of a long and frustrating search for
information on writing arithmetic routines for real-time embedded systems.
With instruction cycle times coming down and clock rates going up, it would
seem that speed is not a problem in writing fast routines. In addition, math
coprocessors are becoming more popular and less expensive than ever before and are
readily available. These factors make arithmetic easier and faster to use and
implement. However, for many of you the systems that you are working on do not
include the latest chips or the faster processors. Some of the most widely used
microcontrollers used today are not Digital Signal Processors (DSP), but simple
eight-bit controllers such as the Intel 8051 or 8048 microprocessors.
