singingkettle / changshuoradiorecognition Goto Github PK

Hello!
I want to draw:

1. The relationship curve of SNR-Accuracy;
2. The confusion matrix of AMC recognition under a certain SNR

What commands should I use separately? Or do I need to implement it myself? thank you!

I have read your paper about FastMLDNN. This is really excellent work. When I looked up your code, it seemed that I couldn't find the code of the class center distance expansion loss. Perhaps I missed it?

您好，当我用tools/convert_datasets/comvert_deepsig.py对RML2016.10A进行处理的时候，我发现程序会报错。
错误发生在deepsig.py的第88行：
item = data[(mod, snr)][sub_item_index,:,:]
其中mod变量在上面的77行被 mod = mod.decode('UTF-8')解码过，因此在88行中，data无法被str变量‘mod’访问。
将88行修改为：data[(mod.encode(), snr)][sub_item_index,:,:]可以解决这个问题

Hello! I attempted to use mldnn on the Deepsig2018 dataset, but I removed parts with SNR greater than 20dB from the JSON file and then ran cache_ amc.py generated a series of .pkl files. Afterwards, I tried to train mldnn, but the loss was displayed as a straight line and there was no change in acc at all; As a comparison, I trained ResCNN in the same way, but it converged correctly. I noticed the use of cache in mldnn, is this the reason for this phenomenon? Did I do something wrong? thank you!

我在summary.md中没有看到关于其的result，请问能否公开具体的snr-acc数值，从而方便比较呢？谢谢！