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  2. Spectral density estimation - Wikipedia

    en.wikipedia.org/wiki/Spectral_density_estimation

    In statistical signal processing, the goal of spectral density estimation (SDE) or simply spectral estimation is to estimate the spectral density (also known as the power spectral density) of a signal from a sequence of time samples of the signal. [1] Intuitively speaking, the spectral density characterizes the frequency content of the signal.

  3. Signal processing - Wikipedia

    en.wikipedia.org/wiki/Signal_processing

    Signal processing is an electrical engineering subfield that focuses on analyzing, modifying and synthesizing signals, such as sound, images, potential fields, seismic signals, altimetry processing, and scientific measurements. [1] Signal processing techniques are used to optimize transmissions, digital storage efficiency, correcting distorted ...

  4. Statisticians' and engineers' cross-reference of statistical ...

    en.wikipedia.org/wiki/Statisticians'_and...

    The following terms are used by electrical engineers in statistical signal processing studies instead of typical statistician's terms. Statistics. Electrical engineering. Null hypothesis. Noise only hypothesis. Alternative hypothesis. Signal + noise hypothesis. Critical region. Signal present decision region.

  5. Orthogonality principle - Wikipedia

    en.wikipedia.org/wiki/Orthogonality_principle

    Kay, S. M. (1993). Fundamentals of Statistical Signal Processing: ... Mathematical Methods and Algorithms for Signal Processing. Prentice-Hall. ISBN ...

  6. Estimation theory - Wikipedia

    en.wikipedia.org/wiki/Estimation_theory

    Estimation theory. Estimation theory is a branch of statistics that deals with estimating the values of parameters based on measured empirical data that has a random component. The parameters describe an underlying physical setting in such a way that their value affects the distribution of the measured data. An estimator attempts to approximate ...

  7. Oversampling - Wikipedia

    en.wikipedia.org/wiki/Oversampling

    Oversampling. In signal processing, oversampling is the process of sampling a signal at a sampling frequency significantly higher than the Nyquist rate. Theoretically, a bandwidth-limited signal can be perfectly reconstructed if sampled at the Nyquist rate or above it. The Nyquist rate is defined as twice the bandwidth of the signal.

  8. List of statistical software - Wikipedia

    en.wikipedia.org/wiki/List_of_statistical_software

    Qlucore Omics Explorer – interactive and visual data analysis software. RapidMiner – machine learning toolbox. Regression Analysis of Time Series (RATS) – comprehensive econometric analysis package. Rguroo Statistical Software - An online statistical software designed for teaching and analyzing data.

  9. Origin (data analysis software) - Wikipedia

    en.wikipedia.org/.../Origin_(data_analysis_software)

    Origin (data analysis software) English, German, Chinese and Japanese. Origin is a proprietary computer program for interactive scientific graphing and data analysis. It is produced by OriginLab Corporation, and runs on Microsoft Windows. It has inspired several platform-independent open-source clones and alternatives like LabPlot and SciDAVis.