EP2A70F1736C8

Intel

General info

Part Number

EP2A70F1736C8

Manufacturer

Intel

Description:

IC FPGA

Reference Price (USD)

$0.00000

500+

1000+

1500+

2000+

2500+

Exquisite packaging

Discount

TT / Paypal / Credit Card / Western Union / Money Gram

EP2A70F1736C8

$0.00

Product details

The EP2A70F1736C8 from Intel delivers breakthrough performance in Embedded - FPGAs (Field Programmable Gate Array) for scientific instrumentation and test equipment. This precision FPGA combines ultra-low noise analog capabilities with high-speed digital processing, enabling next-generation measurement systems. The architecture includes specialized blocks for time-to-digital conversion and synchronous sampling.Organized into 6720 precision-optimized logic blocks, the architecture supports synchronous sampling across multiple channels. Each block includes dedicated timing calibration resources.Featuring 67200 low-jitter logic elements, this device implements precision timing measurement circuits. The architecture minimizes clock skew across the entire die, critical for time interval analysis applications.With 1146880 bits of low-noise memory, the FPGA buffers high-resolution measurement data without introducing artifacts. The memory subsystem implements error logging for statistical analysis of measurement reliability.The 5250000 equivalent gate count enables implementation of complex digital lock-in amplifiers. The hardened DSP blocks accelerate Fourier analysis for real-time spectrum processing.Operating from 1.425V ~ 1.575V, the ultra-clean power architecture achieves sub-microvolt noise levels. The isolated power domains prevent digital switching noise from affecting sensitive analog measurements.The Surface Mount package configuration minimizes thermoelectric effects in precision measurement applications. The low-thermal-EMF materials prevent measurement drift due to temperature gradients.Rated for 0°C ~ 85°C (TJ) operation, the device maintains metrological accuracy across laboratory conditions. The temperature compensation algorithms correct for minor parameter variations.