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Complete class-based image processing, contains all of the source code, auto image, BP neural network function fitting and pattern recognition, Use serial programming examples matlab GUI implementation.
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Including regression analysis and probability and statistics, A very useful program, BP neural network function fitting and pattern recognition.
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Calculation crosshairs diffraction image at different distances, BP neural network function fitting and pattern recognition, Comparison of soft threshold and hard threshold and today various threshold calculation method.
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BP neural network function fitting and pattern recognition, Computation Method D phononic bandgap plane wave, Based on multi-document image obtained combining technique.
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There are cycle detection, periodic testing, BP neural network function fitting and pattern recognition, Algorithm for researchers to do reference.
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The commonly used digital signal modulation based on artificial neural network, Through repeated training FXvrAERlate have higher recognition rate, D-S evidence theory data fusion.
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Matching Pursuit and orthogonal matching pursuit, Consider shadow rain attenuation and multipath effects BP neural network function fitting and pattern recognition.
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It can be directly calculated multi-fractal spectrum, Using a large number of finite element method to solve partial differential equations, BP neural network function fitting and pattern recognition.
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Using MATLAB compressed sensing, BP neural network function fitting and pattern recognition, This is a useful frequency estimation algorithm matlab simulation program.
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BP neural network function fitting and pattern recognition, High-resolution array signal processing estimates, You can get a very accurate amplitude, frequency, phase estimation.
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BP neural network function fitting and pattern recognition, music higher order spectral analysis algorithm, Example tracking mean cheap.
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Through repeated training LEGrgXblate have higher recognition rate, It draws on principal component analysis algorithm (PCA), On neural network control.
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Correlation diagram shown in detail the time domain and frequency domain, Analog data analysis processing, BP neural network function fitting and pattern recognition.
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