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Position-Sensorless-Control-of-PMSM-Over-Wide-Spe
- Position Sensorless Control of PMSM Over Wide Speed Range
texture_synthesis_on_Cell
- In this code each SPE will synthesizes two overlap blocks to make the the area of the boundary to adjoining blocks which the other SPE synthesizes more smooth.
partiald
- KPCA原始程序，可用于故障诊断，并附有T2和SPE诊断图-KPCA original program can be used for fault diagnosis, together with the T2 and SPE diagnostic diagram
seminarpapers
- semiars The World Wide Web, which has started as a document repository, is rapidly transforming to a full fledged virtual environment that facilitates services, interaction, and com- munication. Under this light, the Semantic Web and Web 2.
anli1
- 实现pls的编程,有完整的数据模型，用仿真数据实现偏最小二乘算法，同时计算T2和SPE-PLS programming realization, have complete data model, with the simulation data achieve partial least square algorithm, and the calculation T2 and SPE
Smoothing-Filter-based-Intensity-Modulation-a-spe
- Smoothing Filter-based Intensity Modulation a spectral preserve
ffsp
- SPI lib for atmega168. DON USE Wrk? UNOS void spi_init(void) { /* Set MOSI and SCK output */ DDR_SPI |= _BV(DD_MOSI) | _BV(DD_SCK) DDR_SPI &= ~_BV(DD_MISO) /* Enable SPI, Master, set clock rate fck/128 */ SPCR = _BV(SPE) | _B
Feature-Extraction-and-SVM-Classification-for-Spe
- Feature Extraction for Speech Processing and SVM Classification of Voice Samples. This package contains Feature Extraction and Classification Matlab codes and some turkish voice records.
sthrw001
- CMG STARS里面 离散井筒法 定义水平井-This is the STARS data set for Lee s modified "Fourth SPE ** ** Comparative Solution Project- a Comparison of Steam Injection ** ** Simulators", paper SPE 13510, presented at the eigh
KPCA
- 核主元分析模型，用于故障检测，输入建模数据和待检测数据，计算T2和SPE统计量-Kernel Principal Component Analysis model for fault detection, input data for modeling and data to be detected, calculated T2 and SPE statistics
discuz-CSS-spe
- discuz css 继承规范 discuz css 继承规范-inherited norms discuz css discuz css inheritance norms
drtoolbox
- Matlab针对各种数据预处理的降维方法，源码集合。-Currently, the Matlab Toolbox for Dimensionality Reduction contains the following techniques: Principal Component Analysis (PCA) Probabilistic PCA Factor Analysis (FA) Sammon mapping Lin
pca.m
- pca的SPE统计量的程序，建立主元模型-pca spe
PCA
- 带有数据的PCA程序，计算方差贡献率确定主元数，有T方和SPE图-PCA program with data, calculate the variance contribution rate to determine the number of principal, with a T square and SPE chart
pls_t2_sep
- 用于在pls中来提取t2和spe的数值分析-apply in pls to get t2
2005-Boukhezzar-Nonlinear-Control-of-Variable-Spe
- 2005-Boukhezzar-Nonlinear Control of Variable Speed Wind Turbines for Power Regulation.pdf
PIEEE10
- This paper is concerned with the application of wireless sensor network (WSN) technology to long-duration and large-scale environmental monitoring. The holy grail is a system that can be deployed and operated by domain spe- cialists not engin
dimen_toolbox
- 最新最强MATLAB降维工具箱，可用于人脸识别，模式识别，机器学习，数据挖掘，图像处理等领域，里面包含的算法有PCA,LDA,KPCA,KLDA,Laplacian，LPP,MDS,NPE,SPE,LLC,CFA,MCML,LM-The latest and greatest dimension reduction MATLAB toolbox can be used for face recognition, pattern recognition, machine learning, dat
principal-component-analysis
- The key concept in principal component analysis (PCA) is to reduce a high dimensional data volume into a lower dimensional space, where the low dimensional data con-tams most of the useful information/variance contained in the original data set. The
LInjie-PCA
- 关于主成分分析方法中T^2统计量和SPE统计量的临界故障检测幅值计算的代码。-On principal component analysis method code T ^ 2 statistic and critical failure detection amplitude SPE statistic calculated.