Floating-point FFT IP
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15
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Floating-point (IEEE 754) IP based on Arria 10 and Stratix 10 FPGAs
- FFT size: Any size power-of-two or non-power-of-two
- Dynamic Range: IEEE754 single precision floating point
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Single precision fixed-size streaming floating-point FFT
- FFT size: Any size power-of-two or non-power-of-two
- Dynamic Range: IEEE754 single precision floating point
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Fixed-size streaming FFT
- High Throughput: obtained from high clock rates (>500MHz using 65nm technology) and novel algorithms
- FFT size: Any size power-of-two or non-power-of-two
- Dynamic Range: combined block floating point and floating point architecture means smaller word lengths can be used for post processing operations such as equalization (~6db/bit).
- Scalability: array based architecture means higher throughputs are obtained by increasing array size
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Variable FFT (run time choice of FFT size)
- High Throughput: obtained from high clock rates (>500MHz using 65nm technology) and novel algorithms
- FFT size: any user chosen set of power-of-two or non-power-of-two sizes chosen at run-time (e.g., 128/256/512/1024/2048 points for LTE/WiMax OFDMA)
- Programmability: Simple control circuitry for matching circuit/application functionality and I/O interface.
- Dynamic Range: combined block floating point and floating point architecture means smaller word lengths can be used for post-processing operations such as equalization.
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Tensilica FloatingPoint KQ7/KQ8 DSPs
- VLIW parallelism issuing multiple concurrent operations per cycle
- 512-bit and 1024-bit SIMD
- IEEE 754 vector floating-point (HP, SP, DP)
- Performance-optimized fused multiply-add (FMA)
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Tensilica FloatingPoint KP1/KP6 DSPs
- VLIW parallelism issuing multiple concurrent operations per cycle
- Xtensa LX Secure Mode
- 128-bit and 512-bit SIMD
- IEEE 754 vector floating-point
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Parallel Butterfly FFT
- ParaCore Architect parametric-based core provides maximum adaptability and flexibility (see details on the FFT Parameters)
- Completely proven in many real-world applications
- Supports any radix-2 length FFT and IFFT transformations
- Variable length option for runtime per-transform length select
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Fast Fourier Transform (FFT)
- AXI4-Stream compliant interfaces.
- Forward and inverse complex FFT, run time configurable
- Transform sizes n = 2m, m = 3 - 16
- Data sample precision bx = 8 - 34
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World's most powerful baseband processor
- Designed to meet the demanding requirements of modern 5G networks for extreme multi gigabit, multi carrier and user, and ultra-short latency