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Semantic analysis of multimedia content is an on going research
area that has gained a lot of attention over the last few years.
Additionally, machine learning techniques are widely used for multimedia
analysis with great success. This work pre
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用DSP实现的小波神经网络进行图象识别编程- implementation of wavelet neural network image recognition program with dsp
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In the previous chapters, we presented the concept development, the design, the implementation and the autonomous testing of both the Neural Network and Image Analysis modules. In this chapter we present the results of testing the overall system afte
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BP neural network function fitting and pattern recognition, Convolution operation is intended to signal and image rendering, Including regression analysis and probability and statistics.
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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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This is a useful frequency estimation algorithm matlab simulation program, Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, On neural network control.
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The commonly used digital signal modulation based on artificial neural network, Mainly for data analysis and statistics, Calculation crosshairs diffraction image at different distances.
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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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HARQ throughput analysis of the system, The commonly used digital signal modulation based on artificial neural network, Using matlab to calculate the Mahalanobis distance for the image.
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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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matlab development toolbox support vector machine, Realize image watermarking, de-noising, plus noise and other functions, The entire training process BP neural network.
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Based on wavelet transform digital watermarking algorithm matlab code, The commonly used digital signal modulation based on artificial neural network, The true extent of the value of the intermediary measure, measure the true extent of the agency bas
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Using weighted model nodes in the network strength and weight are power law distribution, Is a two hidden layer back propagation neural network, Complete class-based image processing, contains all of the source code, auto image.
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