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erchashu Downloaded：0: Own use c to write a piece of code, a detailed explanation of the binary information.
Date : 2025-08-24 Size : 1kb User : 城西
yuesefu Downloaded：0: Own use c to write a piece of code, a detailed explanation of the two-way Joseph information.
Date : 2025-08-24 Size : 1kb User : 城西
jQuery-EasyUI-DataGrid Downloaded：1: DataGrid display data in the form of form, and provides a rich selection, sorting, grouping, and the function of the edit data support.
Date : 2025-08-24 Size : 6.41mb User : 缘天
25175jxzl10 Downloaded：0: Based on the Internet or LAN asp new examination system, there are questions batch input, single-selection, multiple choice, fill in the blank, judgment, questions and answers, text entry and other types of questions aut
Date : 2025-08-24 Size : 344kb User : mtq
Menu Downloaded：0: my menu
Date : 2025-08-24 Size : 3kb User : linwenhuei
DataBaseLayer Downloaded：0: C# a variety of calls, including stored procedures, storage transactions and other operations, including Oracle, sqlserver and other s
Date : 2025-08-24 Size : 5kb User : caotie
RT2870_Linux_STA_v1.3.0.0.tar.bz2 Downloaded：0: source code network stack
Date : 2025-08-24 Size : 467kb User : thiago
CS2 Downloaded：0: Python notebook file. compressed sensing utilizing gaussian sensing. where, Both both A and 5 keys are presssed and # sampling rate Fs = 40e3 duration = 1./8 N_samps = int(np.floor(duration*Fs)) # Number of compressed ba
Date : 2025-08-24 Size : 344kb User : mnzars
ATHEROS---AR8032 Downloaded：0: document about ar8032 chipset
Date : 2025-08-24 Size : 530kb User : thiago
CS1 Downloaded：0: python notebook file compressed sensing using FFT and DCT. where, Both both A and 5 keys are presssed and # sampling rate Fs = 40e3 duration = 1./8 N_samps = int(np.floor(duration*Fs)) # Number of compressed basis functi
Date : 2025-08-24 Size : 242kb User : mnzars
bayes_multiclass Downloaded：0: z=bayes_classifier(m,S,P,X). This function outputs the Bayesian classification rule for M classes, each modeled by a Gaussian distribution. where, M: the number of classes. • l: the number of features (for each feat
Date : 2025-08-24 Size : 1kb User : mnzars
eucledian_classifier Downloaded：0: z=euclidean_classifier(m,X). This function outputs the Euclidean classifier, given the mean matrix. M: the number of classes. • l: the number of features (for each feature vector). • N: the number of data vecto
Date : 2025-08-24 Size : 1kb User : mnzars

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