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Matlab coding for Image compression and decompression usning neural network back propagation techniques
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BP神经网络用于函数拟合与模式识别，包括数据分析、绘图等等,线性调频脉冲压缩的Matlab程序。- BP neural network function fitting and pattern recognition, Data analysis, plotting, etc., LFM pulse compression of the Matlab program.
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线性调频脉冲压缩的Matlab程序,BP神经网络用于函数拟合与模式识别，sar图像去噪的几种新的方法。- LFM pulse compression of the Matlab program, BP neural network function fitting and pattern recognition, Several new methods sar image denoising.
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LZ复杂度反映的是一个时间序列中，包括最后计算压缩图像的峰值信噪比和压缩效果的源码,包括最小二乘法、SVM、神经网络、1_k近邻法。- LZ complexity is reflected in a time sequence, Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, Including the least s
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数据分析之机器学习：BP神经网络实现图像压缩(BP neural network for image compression)
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Using a large number of finite element method to solve partial differential equations, The entire training process BP neural network, LFM pulse compression of the Matlab program.
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通过神经网络实现高维无线通信信道压缩反馈与重建、低维信道的数据高效传输问题。
nmse小于0.08(The neural network is used to realize the compression feedback and reconstruction of high-dimensional wireless communication channel and the efficient data transmission of low-dimensional channel.
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