资源列表
10.1.1.1.8430
- NeC4.5: Neural Ensemble Based C4.5 Zhi-Hua Zhou, Member, IEEE, and Yuan Jiang Abstract—Decision tree is with good comprehensibility while neural network ensemble is with strong generalization ability.
LeetCodesolution-of-shell-problems
- leetcode中shell问题的介绍、分析和解决方法-Introduction leetcode in shell problem analysis and solution
rounded-rect-algorithm-
- 画圆和圆角矩形的算法 用d3d9来绘制圆及简单的圆角矩形-a circle and rectangle algorithm Draw circle and simple rounded rectangle by D3D9
06471840
- fault diagnosis based model
JDU-ACM-templates
- ACM模板,此模板为吉林大学的模板,包含大多数ACM中用到的算法-ACM templates , Jilin University. Includes most algorithm may be used for ACM.
Simple_Gam2126869142008
- SImplegame can be interpreted
matrix
- Matrix addition ,and all four operation in matlab
Main_Kalman
- Speech enhancement using Kalman filtering that performs Bidirectional Kalman filtering for input-less white-noise driven system and unidirectional Kalman filtering for input-less white-noise driven system-Speech enhancement using Kalman filtering t
composite
- This function implements the composite objective measure proposed in [1]. It returns three values: The predicted rating of overall quality (Covl), the rating of speech distortion (Csig) and the rating of background distortion (Cbak). The rat
SS
- Power Spectral Subtraction (SS) for speech enhancement Storing original signal to compute PESQ & SSNR measurment Noise magnitude calculations - assuming that the first 5 frames is noise/silence
Bayesianmis
- Bayesian estimator based on the modified Itakura-Saito for speech enhancement Implements the Bayesian estimator based on the modified Itakura-Saito Noise magnitude calculations - assuming that the first 6 frames is noise/silence
WF
- Wiener filtering algorithm(WF) for speech enhancement set parameter values smoothing factor in noise spectrum update smoothing factor in priori update