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In addition to voice connectivity, digital cellular wireless networks such as GSM and its enhancement, GSM-EDGE, can now provide increased data speeds up to a (theoretical) limit of 384ﾠKbps. Third generation mobile networks, such as CDMA2000 and WCDMA or UMTS (Universal Mobile Telecommunications Standards) and TD-SCDMA (China only) are currently being deployed worldwide. These systems offer services such as video streaming, Internet browsing and, by using a technique called High Speed Packet Access (HSPA), they can in theory deliver downlink speeds up to 14,4 Mbps.

The FPGAs referenced in these articles have complex dedicated I/O circuitries that are primarily designed to support external memory interfaces. The ALTMEMPHY megafunction is designed to support the most common memory standards, such as the DDR and DDR 2 SDRAM and QDR II+/QDR II SRAM (in a burst length of 4) interfaces. The ALTMEMPHY megafunction should be used whenever possible as it is beneficial to use the IP and timing closure methodologies used with these FPGAs, which enables users not to have to create this function manually as compared with using the ALTDLL and ALTDQ_DQS solution. However, the ALTMEMPHY megafunction does not support other external memory standards such as Mobile DDR, QDR II+/QDR II SRAM (in burst length of 2) or customized DDR and DDR 2 SDRAM external memory standards. For these scenarios, use the ALTDLL and ALTDQ_DQS megafunctions to access the FPGA architecture and build a custom external memory interface.

FPGAs referenced in this article have complex dedicated I/O circuitries that are primarily designed to support EMIF. The ALTMEMPHY megafunction is designed to support the most common memory standards, such as the DDR , DDR2 SDRAM, and QDR II+/QDR II SRAM (in a burst length of 4) interfaces. Other external memory standards such as Mobile DDR, QDR II+/QDR II SRAM (in burst length of 2), or customized DDR and DDR 2 SDRAM external memory standards are not supported. Instead, the ALTDLL and ALTDQ_DQS megafunctions are used to access the FPGA architecture and build a custom EMIF.

Google PowerMeter allows consumers to access their power consumption data through a secure, Web-based iGoogle™ gadget. As a Strategic Partner, Microchip incorporated the recently announced Google PowerMeter API to create a Reference Implementation, which makes it much easier to develop products that are compatible with Google PowerMeter. Microchip's Reference Implementation demonstrates the device's activation, data transmission and status messages using readily available Microchip development tools. It can be used as a template for developers' own designs.

Xilinx Inc. today introduced the architecture for a new Extensible Processing Platform they claim will deliver unrivaled levels of system performance, flexibility and integration to developers of a wide variety of embedded systems. The ARM Cortex-A9 MPCore processor-based platform enables system architects and embedded software developers to apply a combination of serial and parallel processing to address the challenges they face in designing today's embedded systems, which must meet ever-growing demands to perform highly complex functions. The Xilinx Extensible Processing Platform offers embedded systems designers a processor-centric design and development approach for achieving the compute and processing horsepower required to drive tasks involving high-speed access to real-time inputs, high-performance processing and complex digital signal processing - or any combination thereof - needed to meet their application-specific requirements, including lower cost and power.