Time Series. 시계열. 데이터. 처리. 분석.

	개요.
	Time Series (시계열) 데이터 셋  에서 n 이 시각인것. Time Series Analysis (시계열 분석) - 데이터셋  값들로 산술(+,-, x, /), 비교, 논리 연산 하는 행위. - 수학적으로는 결국 데이터 셋 일 뿐이므로 일반적으로는 데이터 분석(Data Analysis) 에 포함됨. - 데이터 셋의 물리적 의미가 이미지이면 이미지 처리, 시계열이면 시계열처리. 시계열중에서 음성이면 음성처리. - 연산결과 형식 : 다른 시계열 출력. 혹은 상수 값 출력. 혹은 다른 디멘션 출력.  - 시계열분석 예 : 평균, 필터, 표준편차, 주파수성분분해, ... 등. - 용어 Analysis 나 Processing 이나 같은 의미.

 

	시계열 분석 종류 예시.
	from : http://laxtha.net/ko/telescan/#analysis-methods-telescan  Select Simple Operation Region Position Moving Window Moving Position Matrix Multiplication Application of Matrix Multiplication Cutting of the Selected Range Setting the Selected Regions to a Constant Inverse Absolute Cumulation Derivative Natural Logarithm Rescaling by Extremes Rescaling by Gain and Offset Rescaling by Mean and Standard Deviation Simple Parameter Calculation Resampling Slope Sum Sum Ratio Average Standard Deviation Moving Average Moving Standard Deviation By Polynomial Interpolation By Rational Function Interpolation By Cubic Spline Interpolation Frequency Filtering Correlation Analysis Low Pass FFT-Filtering High Pass FFT-Filtering Band Pass FFT-Filtering Notch FFT-Filtering Low Pass IIR-Filtering High Pass IIR-Filtering Band Pass IIR-Filtering Notch IIR-Filter Pearson’s Correlation Triple Correlation Cross Correlation Moving Cross Pearson’s Correlation All-Pair-Cross Pearson Correlation Power Spectrum Analysis Statistical Analysis Power Spectrum Estimation by FFT Time-Frequency Domain Absolute Band Power Relative Band Power Band to Band Power Histogram Probability Distribution Moving Skewness Moving Kurtosis

 

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