期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
Bit-stream linear artificial neural networks based on Sigma-delta modulation 被引量:2
1
作者 梁勇 Wang Zhigong +1 位作者 Meng Qiao Guo Xiaodan 《High Technology Letters》 EI CAS 2012年第2期120-123,共4页
To solve the excessive huge scale problem of the traditional multi-bit digital artificial neural networks (ANN) hardware implementation methods, a bit-stream ANN construction method based on direct sigma-delta (Z-A... To solve the excessive huge scale problem of the traditional multi-bit digital artificial neural networks (ANN) hardware implementation methods, a bit-stream ANN construction method based on direct sigma-delta (Z-A) signal processing is presented. The bit-stream adder, multiplier and fully digital X-A modulator used in the bit-stream linear ANN are implemented in a field programmable gate array (FPGA). A bit-stream linear ANN based on these bit-stream modules is presented and implemented. To verify the function and performance of the bit-stream linear ANN, the bit-stream adaptive predictor and the bit-stream adaptive noise cancellation system are presented. The predicted result of the bit-stream adaptive predictor is very close to the desired signal. Also, the bit-stream adaptive noise cancellation system removes the electric power noise effectively. 展开更多
关键词 bit-stream artificial neuron SIGMA-DELTA linear artificial neural networks field programmablegate array (FPGA)
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部