製品の詳細
サポートするデバイス
- Spartan-3
- Virtex-4 FX
- Virtex-4 LX
- Virtex-4 SX
- Virtex-II
- Virtex-II Pro
システム要件
- Xilinx ISE
- All Supported ISE Platforms
The Additive White Gaussian Noise (AWGN) module is often used to calculate BER curves for Forward Error Correction cores such as Reed-Solomon, Viterbi Decoder,Turbo Convolutional code, or Turbo Product code. The AWGN core is available as VHDL source code.
主要機能
- Probability density function (PDF) deviates less than 0.2 percent from the Gaussian PDF for |x| < 4.8o and is obtained from a closed-form expression
- Based on the Box-Muller algorithm and the central limit theorem
- Period of generated noise sequence is ~2190 = 1.57x1057 samples
- Power spectral density is flat
- SNR input ranges from 0.0 to 15.9 dB in steps of 0.1 dB and provides scaling to obtain desired variance
