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用于应用二维数组，生成地震记录剖面，对于地震模型的模拟数据快速生成剖面很有帮助。(A two-dimensional array for application and generates seismic records for seismic model section of analog data generated fast profile is very helpful. )

MATLAB CODE FOR DIGITAL IMAGE PROCESSING COURCE

OLTC的仿真源文件，可用于电压中长期稳定问题的分析，涉及分接头的转换。(OLTC simulation source files that can be used long-term voltage stability analysis, involving point conversion connector.)

Demonstrates 1-D FDTD initial state formation. Please edit the FLAGS for demonstration of different cases. BASED ON "1-D Digital Waveguide Modeling for Improved Sound Synthesis".(Demonstrates 1-D FDTD initial state forma tion. Please edit the FLAGS for demonstration o f different cases. BASED ON "1-D Digital Wavegu ide Modeling for Improved Sound Synthesis. ")

MATLAB语言常用算法程序集，第8章 数值积分(MATLAB language commonly used algorithm for assembly, Chapter 8, numerical integration)

自己编的图像重叠分块再重新合成的程序。使用matlab。(Re-synthesis process images overlap own the block. Use matlab.)

说明：  这个是利用图像分解和Logistics混沌序列可以对图像先进行加密然后进行隐藏在另一个图像中再进行解密(This is the use of image decomposition and Logistics chaotic sequence can be encrypted on the image first and then proceed to hide in another image and then decrypt)

优秀论文及配套源码。首先阐述了负荷预测的应用研究现状，概括了负荷预测的特点及其影响因素，归纳了短期负荷预测的常用方法，并分析了各种方法的优劣；接着介绍了作为支持向量机（SVM）理论基础的统计学习理论和SVM的原理，推导了SVM回归模型；本文采用最小二乘支持向量机（LSSVM）模型，根据浙江台州某地区的历史负荷数据和气象数据，分析影响预测的各种因素，总结了负荷变化的规律性，对历史负荷数据中的“异常数据”进行修正，对负荷预测中要考虑的相关因素进行了归一化处理。LSSVM中的两个参数对模型有很大影响，而目前依然是基于经验的办法解决。对此，本文采用粒子群优化算法对模型参数进行寻优，以测试集误差作为判决依据，实现模型参数的优化选择，使得预测精度有所提高。实际算例表明，本文的预测方法收敛性好、有较高的预测精度和较快的训练速度。(first expounds the recent application research of load forecasting, summarized the characteristics of load forecasting and influencing factors, summed up common methods of short-term load forecasting, and analyzed the advantages and disadvantages of each method then introduced statistical learning theory and the principle of SVM as the basis of support vector machine (SVM ) theory, SVM regression model is derived this paper adopted least squares support vector machine (LSSVM) model, according to the historical load data and meteorological data of a certain area of Zhejiang Taizhou, Analysised the various factors affecting the forecast, summed up the regularity of load change , amended "outliers" in the historical load data,the load forecasting factors to be considered were normalized. The two parameters of LSSVM have a significant impact on the model, but it is still soluted based on the experience currently. So, this paper adopted particle swarm optimization algorithm to optimized )

相干信号的DOA估计，前后向平滑算法和差分平滑算法对比研究，有均方根的对比(DOA estimation of coherent signals before and after the smoothing algorithm and a comparative study of differential smoothing algorithm, RMS contrast)

说明：  波动方程有限差分数值模拟，采用二阶差分，AEA自由表面边界条件(Finite difference numerical simulation of wave equation using second order difference and AEA free surface boundary conditions)