RBF_2D

说明：  有关时频分析的matlab的程序 希望对大家有所帮助(the time-frequency analysis of the procedures Matlab we hope to help)

通过编写该程序，实现图像的动态分形处理及仿真。(Through the preparation of the program, the image of the dynamic fractal processing and simulation.)

TURBO CODE SIMULATION SORCE

蚁群算法优化rbfnn的程序，可以补充修改(Ant Colony Optimization rbfnn the program, you can add to modify)

说明：  学习卡尔曼滤波标准程序，有模型实例。 (Kalman filter to learn the standard procedures, a model instance.)

全局优化工具箱，详细说明优化工具箱的使用及注意事项(Global Optimization Toolbox, Optimization Toolbox with detailed instructions and precautions)

利用小波分解的方法进行语音信号的降噪处理，适用于语音增强领域(The wavelet decomposition method is used to denoise the speech signal, which is suitable for the field of speech enhancement.)

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.)

this is file .m that can be run at matlab

声纳技术 常用水声信号及其处理方法 内容：1）CW信号；2）LFM；3）谱分析；4）自相关 (Sonar technology)