摘要: A new signal prediction algorithm based on Prony model applied on folding and interpolating (F&I) ADC is presented. The signal prediction algorithm employs Prony model to build the autoregressive moving average process (ARMA) whic... 展开 A new signal prediction algorithm based on Prony model applied on folding and interpolating (F&I) ADC is presented. The signal prediction algorithm employs Prony model to build the autoregressive moving average process (ARMA) which can achieve accuracy power spectrum estimation. This ADC system can support multi-mode multi-band signals converting aimed for software defined radio. By canceling the predicted part, this proposed system increases the input dynamic range of ADC and improves its resolution from 10bits to 14bits under 250MS/s sampling rate. 收起