|MT-010: The Importance of Data Converter Static Specifications – Don't Lose Sight of the Basics!|| In the 1950s and 1960s, dc performance specifications such as integral nonlinearity, differential nonlinearity, monotonicity, no missing codes, gain error, offset error, and drift, etc., were primarily used to characterize data converters. These specifications were adequate during this era, because most early applications (with the exception of PCM and radar, for example) dealt with dc or low frequency signals such as those encountered in industrial measurement and process control. With the advent of microprocessors and digital signal processing (DSP) in the 1970s and 1980s, dynamic performance specifications, such as signal-to-noise ratio (SNR),
|FPGAs Tackle DSP Applications for Communications|| For years, FPGA technology has been
a major cornerstone of board level
product design for embedded software
radio and communication systems.
FPGAs are ideal for implementing the data
formatting, timing, and the specialized glue
logic needed to connect real-time peripherals
like modems, A/D converters and digital
receivers to programmable processors.
However, with their newly acquired DSP
capabilities, FPGAs are now expanding
these traditional roles to help offload
computationally-intensive digital signal
processing functions from the processor.
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