Technique analysis in elite athletes using principal component analysis
نویسندگان
چکیده
منابع مشابه
demonstrating buried channels using principal component analysis
spectral decomposition of time series has a significant role in seismic data processing and interpretation. since the earth acts as a low-pass filter, it changes frequency content of passing seismic waves. conventional representing methods of signals in time domain and frequency domain cannot show time and frequency information simultaneously. time-frequency transforms upgraded spectral decompo...
متن کاملMultiresolution using principal component analysis
This paper proposes Principal Component Analysis (PCA) to find adaptive bases for multiresolution. An input image is decomposed into components (compressed images) which are uncorrelated and have maximum l2 energy. With only minor modification, a single layer linear network using the Generalized Hebbian Algorithm (GHA) is used for multiresolution PCA. The decomposition has been successfully app...
متن کاملPrincipal Component Analysis using R
This tutorial is designed to give the reader a short overview of Principal Component Analysis (PCA) using R. PCA is a useful statistical method that has found application in a variety of fields and is a common technique for finding patterns in data of high dimension. Consider we are confronted with the following situation: The data, we want to work with, are in form of a matrix (xij)i=1...N,j=1...
متن کاملOutlier Detection in Wireless Sensor Networks Using Distributed Principal Component Analysis
Detecting anomalies is an important challenge for intrusion detection and fault diagnosis in wireless sensor networks (WSNs). To address the problem of outlier detection in wireless sensor networks, in this paper we present a PCA-based centralized approach and a DPCA-based distributed energy-efficient approach for detecting outliers in sensed data in a WSN. The outliers in sensed data can be ca...
متن کاملInternal Traits of Eggs and Their Relationship to Shank Feathering in Chicken Using Principal Component Analysis
Chicken eggs represent an important source of protein to the growing human population and also supply repositories of unique genes that could be used worldwide. The inheritance of shank feathering trait is dominant upon non-feathering shank trait in chicken which is based on two factors: pti-1L and pti-1B that are located on Chromosomes 13, 15, and 24. Using 185 fertile eggs collected from two ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Sports Sciences
سال: 2017
ISSN: 0264-0414,1466-447X
DOI: 10.1080/02640414.2017.1298826