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sql_parser
目前只实现了对语法的解释，得到一个树，后续需要的工作：1.修改sql.l，实现对cha数组的解析2.实现一个cui界面，来完成最终的功能
- 2022-07-19 06:57:25下载
- 积分：1
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shanchuedittext
Customize EditText instance with deletion function, which is often used in login, search and other places.
- 2020-06-21 08:40:02下载
- 积分：1
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pn_eegPLV
说明： 计算EEG数据集的锁相值（PLV）。
％
％输入参数：
eegData是3D矩阵numChannels x numTimePoints x numTrials srate是EEG数据的采样率filtSpec是用于在期望的感兴趣频带中过滤EEG信号的滤波器规范。 它是一个具有两个字段的结构，顺序和范围。
范围指定频带的限制，例如，对于伽马频带，使用filtSpec.range = [35 45]。 在filtSpec.order中指定FIR滤波器的顺序。 一个有用的经验法则可以包括约4到5个周期的所需信号。 例如，对于以500Hz采样的eeg数据，filtSpec.order = 50对应于100ms并且包含~4个周期的γ波段（40Hz）。(Computes the Phase Locking Value (PLV) for an EEG dataset.
%
% Input parameters:
% eegData is a 3D matrix numChannels x numTimePoints x numTrials
% srate is the sampling rate of the EEG data
% filtSpec is the filter specification to filter the EEG signal in the
% desired frequency band of interest. It is a structure with two
% fields, order and range.
% Range specifies the limits of the frequency
% band, for example, put filtSpec.range = [35 45] for gamma band.
% Specify the order of the FIR filter in filtSpec.order. A useful
% rule of thumb can be to include about 4 to 5 cycles of the desired
% signal. For example, filtSpec.order = 50 for eeg data sampled at
% 500 Hz corresponds to 100 ms and contains ~4 cycles of gamma band
% (40 Hz).)
- 2019-04-23 20:00:42下载
- 积分：1
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一个简单的信息添加
一个简单的信息添加-a simple message added
- 2022-03-22 08:08:11下载
- 积分：1
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source_file
说明： 有限状态机 rtl code 和 TB验证环境(Finite state machine RTL code and TB verification environment)
- 2020-08-13 15:05:19下载
- 积分：1
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98104849fusion-evaluation
图像融合中的平均梯度、相关系数、信息熵、交叉熵、联合熵、均方误差、互信息、信噪比、峰值信噪比、均方根误差、空间频率、标准差、均值、扭曲程度、偏差指数等等(Evaluation indexes average gradient, correlation coefficient, entropy, cross entropy, joint entropy, mean square error, mutual information, signal-to-noise ratio, peak signal-to-noise ratio, mean square error, spatial frequency, mean, standard deviation, distortion degree, deviation index and so on)
- 2017-07-10 11:13:35下载
- 积分：1
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cal_sharpen
说明： HSV融合
-color-normalized融合
-Gram-Schmidt融合
主成份分析融合(HSV fusion
-Color normalized fusion
-Gram Schmidt fusion
Principal component analysis fusion)
- 2020-02-27 11:15:48下载
- 积分：1
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ZCOBRANZAXVEND
说明： Reporte de cobranza detallada por vendedor
- 2020-06-16 04:00:01下载
- 积分：1
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kaggle_diabetic-master
说明： A commented bash script to generate our final 2nd place solution can be found in make_kaggle_solution.sh.
Running all the commands sequentially will probably take 7 - 10 days on recent consumer grade hardware. If you have multiple GPUs you can speed things up by doing training and feature extraction for the two networks in parallel. However, due to the computationally heavy data augmentation it may be far less than twice as fast especially when working with 512x512 pixel input images.
You can also obtain a quadratic weighted kappa score of 0.839 on the private leaderboard by just training the 4x4 kernel networks and by performing only 20 feature extraction iterations with the weights that gave you the best MSE validation scores during training. The entire ensemble only achieves a slightly higher score of 0.845.
- 2019-05-11 15:31:21下载
- 积分：1
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glut32.zip
glut32.zip
-glut32.zip
- 2022-06-21 12:41:16下载
- 积分：1
