The Kalman filter is a set of mathematical equations that provides an efficient computational [recursive] means to estimate the state of a process, in a way that minimizes the mean of the squared error. The filter is very powerful in several aspects: it supports estimations of past, present, and even future states, and it can do so even when the precise nature of the modeled system is unknown.
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SINGLE CHIP SET-TOP BOX DECODER WITH ENHANCED AUDIO
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KALMAN FILTERING FOR FUZZY DYNAMIC SYSTEMS
标签： FILTERING DYNAMIC SYSTEMS KALMAN
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Fuzzy Control Systems Design and Analysis [TANAKA& HUA O. WANG] CH1
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Builder uses to integrate a larger system module. Each component consists of a structured set of files within a directory. The files in a component directory serve the following The RS232 UART Core implements a method for communication of serial data. The core provides a simple register-mapped Avalon庐 interface. Master peripherals [such as a Nios庐 II processor] communicate with the core by reading and writing control and data registers.
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about Neuro fuzzy book
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this article can guide you to apply fuzzy ga to a model
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this article can guide you to apply fuzzy ga to a model
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this article can guide you to apply fuzzy ga to a model
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this article can guide you to apply fuzzy ga to a model
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