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这是几种滤波器的MATLAB的M文件源码，可以实现特定的滤波器设计(This is the filter paper MATLAB M source, can achieve a specific filter design)

TRY TO FIND THE BEST PATH PLEASE

matlab操作word，包括文字、matlab图自动粘贴、word表格自动生成(Matlab word operation, including text, matlab figure automatically paste, word tables automatically generated )

Considering the complete process of surgery including the preoperative and postoperative stages, multiple resource constraints involved and the integration of surgical upstream and downstream resources, surgery scheduling was described as an extended multi-resource constrained flexible job-shop scheduling problem and an optimization approach was proposed based on an improved ant colony algorithm. A resource selection rule and strategy of overtime judging and adjusting was designed, and the scheduling process with the ant colony algorithm was realized. The case study shows that the improved ant colony algorithm proposed in this paper achieved good results in shortening total time and allocating resources for surgery scheduling

Matlab环境下实现的RBF神经网络K均值聚类算法(Matlab environment to achieve the RBF neural network K-means clustering algorithm)

该源码为matlab6.5图形图像处理书籍的配套资料。(The source code for the graphic image processing books matlab6.5 supporting information.)

产生噪声调频干扰信号，并画出它的时域和功率谱(Generate noise FM jamming signal, and draw it in time domain and power spectrum)

Ber simulation tutorial - contains matlab codes.(Ber simulation tutorial-contains Matlab codes.)

语音信号中的平滑处理，很实用的程序哦，值得一看，谢谢查看。(speech smoothing)

说明：  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.)