Tftpd32

GBT功能描述,对修订历史进行了描述，可以清晰看到里面的内容。(GBT functional description, a description of the revision history, you can clearly see the contents inside.)

低秩LRR，标准低秩算法的matlab算法，希望能够给你带来帮助(Low-rank LRR, the standard low-rank algorithm matlab algorithm, hoping to give you help)

说明：  使用KERAS为框架搭建深度学习网络进行脊柱分割(Using keras as to build a deep learning network for spine segmentation)

利用BPA计算系统潮流的IEEE标准算例。多种节点数的计算资料。希望能有帮助。(BPA trend of computing systems using IEEE standard examples. Information on a variety of computing nodes. I hope to have help.)

用于KOL取得MAC地址的单元，老俄对KOL的支持不错，配套设施齐全(Returns MAC address of the Ethernet network card. On input, set IdxCount to an index of the card (0 is enouth, if Count is not yet known). On output, Count always contains number of cards. It seems that if the are several virtual network devices in addition to the real network device (e.g. installed with Virtual Machine emulators), the first card returned actually is a real network unit. |<br> Though only Ethernet cards are looking for, Count contains amount of all the interfaces (loopback, tokenring, sleep, etc.) So make a loop from 0 to Count-1 until returned value become <> 0 to get the MAC addres og the Ethernet network device)

8个方向的Astart寻路算法，在原来代码基础改动-8 direction Astart pathfinding algorithm, changes in the original code base

取网络文件尺寸并进度下载易语言源码,例程结合易语言超文本浏览框支持库，使用客户组件连接文件地址，发送URL地址消息取文件的数据大小并下载，并有进度演示。(Take a network file size and schedule downloads easy language source code, combined with easy language routines hypertext browsing box support library, use the client component connection file address, data size to send a message to take the URL of the file to download, and demonstrate progress.)

此程序可以对信号进行小波分解和重构，并且分解的频率按从高到低排序(This program can decompose and reconstruct the signal by wavelet transform, and the decomposition frequency is sorted from high to low.)

This for neural network gabor

提取语音信号的MFCC参数进行语音信号的识别，利用神经网络，自带有训练样本和测试样本(Identification of MFCC parameters of speech signal extraction of speech signal, using neural network, with the training samples and test samples)