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Moving horizon estimation (MHE) is a multivariable estimation algorithm that uses: to calculate the optimum states and parameters. The optimization estimation function is given by: without violating state or parameter constraints (low/high limits) With: = i -th model predicted variable (e.g. predicted temperature)
Material-handling equipment. Material handling equipment (MHE) is mechanical equipment used for the movement, storage, control, and protection of materials, goods and products throughout the process of manufacturing, distribution, consumption, and disposal. [1] The different types of equipment can be classified into four major categories: [2 ...
Histogram equalization accomplishes this by effectively spreading out the highly populated intensity values which are used to degrade image contrast. The method is useful in images with backgrounds and foregrounds that are both bright or both dark. In particular, the method can lead to better views of bone structure in x-ray images, and to ...
Details. The Kalman filter is a recursive estimator. This means that only the estimated state from the previous time step and the current measurement are needed to compute the estimate for the current state. In contrast to batch estimation techniques, no history of observations and/or estimates is required.
Kinetic theory of gases. The temperature of the ideal gas is proportional to the average kinetic energy of its particles. The size of helium atoms relative to their spacing is shown to scale under 1,950 atmospheres of pressure. The atoms have an average speed relative to their size slowed down here two trillion fold from that at room temperature.
Adaptive histogram equalization (AHE) is a computer image processing technique used to improve contrast in images. It differs from ordinary histogram equalization in the respect that the adaptive method computes several histograms, each corresponding to a distinct section of the image, and uses them to redistribute the lightness values of the image.
Adaptive equalizer. An adaptive equalizer is an equalizer that automatically adapts to time-varying properties of the communication channel. [1] It is frequently used with coherent modulations such as phase-shift keying, mitigating the effects of multipath propagation and Doppler spreading. Adaptive equalizers are a subclass of adaptive filters.
Blind equalization is a digital signal processing technique in which the transmitted signal is inferred ( equalized) from the received signal, while making use only of the transmitted signal statistics. Hence, the use of the word blind in the name. Blind equalization is essentially blind deconvolution applied to digital communications.