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dftconv
- 数字信号处理：实现对32点矩形序列和x(n)=n+1序列分别进行DFT，两者线形卷积，原序列补点至63点后的DFT和对DFT乘积的IDFT。显示为数值和坐标轴中的图像。vista系统不能看图。在win-c下编译，c语言-Digital signal processing: to achieve 32 points, rectangular sequence and x (n) = n+1 sequences were carried out DFT, linear convolution bet
digital
- 数字信号处理之时域卷积matlab实现，非常简单。-Digital signal processing implementation of time-domain convolution matlab
convolutions
- 关于 mathcad 卷积中重要参数的计算代码-Mathcad important parameters on the calculation of convolution code
1
- 1.对于两个序列：x(n)=n R16(n),h(n)=R8(n) （1）在同一图形窗口中绘出两序列的时域图形。 （2）利用FFT编程计算两序列的线性卷积，绘出的时域图形。 -1. For two sequences: x (n) = n R16 (n), h (n) = R8 (n) (1) draw the two sequences in the same time-domain graphics window graphics. (2) calculation of
draw_convnet-master
- 通过python实现卷积神经网络算法，并通过一个小实例进行具体的试验-Convolution neural network algorithm to achieve through python, and specific test by a small example
Conv_neural_net_NumPy
- 用numpy实现卷积神经网络的卷积、池化、ReLU操作。(numpy,Relu,pooling,conv)