Some questions about dataset

[59964654]

question1、for cnn model ,need to add this statement，or the data dimension is nx2x1024,not nx1x2x1024. question2、can you explain why for a single data ,it's data dimension is 1x2 x1024， is this 2 representing the real and imaginary parts of complex numbers，Is this data already converted to the frequency domain after being collected by the receiving end. question3、Can you explain more clearly about the production of the four datasets, including the specific system diagram and movement speed and delay. thanks

[pds001]

问题1、对于 CNN 模型，需要添加此语句，或者数据维度是 nx2x1024，而不是 nx1x2x1024。 问题2、您能解释一下为什么对于单个数据来说，它的数据维度是 1x2 x1024，是不是这个 2 代表复数的实部和虚部，这个数据在被接收端采集后是不是已经转换到了频域。 question3、能否更清楚地解释一下这四个数据集的制作情况，包括具体的系统图和移动速度和延迟。谢谢

For the solution to the problem you gave, it is really effective, thank you for sharing

[aodishuangzuan]

问题1、对于 CNN 模型，需要添加此语句，或者数据维度是 nx2x1024，而不是 nx1x2x1024。 问题2、您能解释一下为什么对于单个数据来说，它的数据维度是 1x2 x1024，是不是这个 2 代表复数的实部和虚部，这个数据在被接收端采集后是不是已经转换到了频域。 question3、能否更清楚地解释一下这四个数据集的制作情况，包括具体的系统图和移动速度和延迟。谢谢

For the solution to the problem you gave, it is really effective, thank you for sharing对于你给出的问题的解决方案，真的很有效，谢谢分享

Hello, I also added the code he provided before the first layer of the network x = self.layer1(x) in the forward function, but I still get an error. Is there anything else I need to modify for the code to run correctly?

[pds001]

问题1、对于 CNN 模型，需要添加此语句，或者数据维度是 nx2x1024，而不是 nx1x2x1024。 问题2、您能解释一下为什么对于单个数据来说，它的数据维度是 1x2 x1024，是不是这个 2 代表复数的实部和虚部，这个数据在被接收端采集后是不是已经转换到了频域。 question3、能否更清楚地解释一下这四个数据集的制作情况，包括具体的系统图和移动速度和延迟。谢谢

For the solution to the problem you gave, it is really effective, thank you for sharing对于你给出的问题的解决方案，真的很有效，谢谢分享

Hello, I also added the code he provided before the first layer of the network x = self.layer1(x) in the forward function, but I still get an error. Is there anything else I need to modify for the code to run correctly?

In line 124 of the OFDM_dataset.py file, add X = X[:, np.newaxis, :, :] # if GPPT,need to delete this under the X = np.vstack(X) code. Hope it helps you!