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语音信号的数字滤波——IIR数字滤波器的双线性变换法设计(Speech signal digital filter-- IIR digital filter bilinear transform design)

Time series RBF predict

说明：  该资料包含了一个图像融合工具箱，里面的内容是用matlab实现图像处理。(The information includes an image fusion toolbox, which content is to use matlab for image processing.)

图像在matlab中的基本操作,包括图像亮度变换,图像格式变换以及图像的数据类型变化(Images in MATLABs basic operations,including image brightness transform,image format transformation, and image data type changes)

Preprocessing of medical images

matlab程序，对图像做选取3*3矩阵的8邻域与中心特征值的像素差，然后按照不同的方式滑动(matlab program, the selected pixels of the image to make the neighborhood and the center differential 8 eigenvalues ​ ​ 3* 3 matrix, and then slide in different ways)

matlab 解决免疫问题这个很好用很清楚很明白(matlab)

关于医学图像的基于形状的图像检索。预处理用小波去噪 ，特征选用不变矩。(image preprocessing)

非均匀B样条拟合程序，数值计算算法，可用于数值拟合等(Non-uniform B-spline fitting algorithm , numerical algorithm , could be used for numerical fitting , etc.)

通过并行压缩进行二维信号压缩，提出了一种利用并行压缩传感技术对二维信号进行压缩的新方案。根据这个原理，译码器的重新构造可以并行进行。通过对二维信号进行某些排列，可以确保所有列具有大致相同的密度级别，并且可以使用相同的测量矩阵进行采样。这样可以避免二维信号的矢量化，从而大大减小测量矩阵的尺寸。我们证明，如果排列良好，重建均方误差的上限会更紧。为了说明这一方案，我们将其应用于视频压缩并使用不同帧的排列有两种：参考帧的基于Z字形扫描的排列和非参考帧的基于块测试的排列。仿真结果表明，在相同的压缩比下，峰值信噪比比比在无置换情况下可提高3-7db左右。(we propose a new scheme to compress 2D signals using parallel compressed sensing. According to this seheme, the reeonstruction at the decoder can be performed in parallel. By performing certain permutation on a 2D signal, all columns are insured to have approximately the same density level and can be sampled using the same measurement matrix. In this way, vectorization of a 2D signal can be avoided, and thus the size of the measurement matrix can be dramatically reduced. We prove that with a good permutation, we can have a tighter upper bound on reconstruction mean square error. To illustrate this scheme, we apply it to video compression and use two kinds of permutations for different frames: the zigzag-scanbased permutation for reference frames and the block-test-based permutation for non-reference frames. Simulation results show that under the same compression ratio, the peak signal-to-noise ratio can be improved by approximately 3-7 dB compared to the case without permutation.)