scfde

matlab code that generates input file for gridgen to make automated mesh in conical and bell shape nozzles

matlab环境下的DCT变换域的水印程序(Matlab environment under the DCT domain watermarking procedure)

ISM算法示例，基本能用，还有问题，欢迎讨论(ISM algorithm for example, the basic use, there are questions, please discuss)

刘金琨老师书上的滑模matlab模型程序，很具有代表性的例子。(Liu Jinkun teacher book sliding mode matlab model program, it is a typical example.)

通过matlab仿真工具仿真分析了APSK调制方式在典型的加性高斯白噪声下的传输性能(Through simulation matlab simulation tool analyzes APSK modulation in a typical additive white Gaussian noise transmission performance)

Stability criteria Nyquist plot in Matlab.

说明：  matpower 学习手册-----------(matpower manual-----------)

迭代自适应Simpson，Lobatto积分 In almost every standard book on numerics quadrature algorithms like the adaptive Simpson or the adaptive Lobatto algorithm are presented in a recursive way. The benefit of the recursive programming is the compact and clear representation. However, recursive quadrature algorithms might be transformed into iterative quadrature algorithms without major modifications in the structure of the algorithm. We present iterative adaptive quadrature algorithm (adaptiveSimpson and adaptiveLobatto), which preserves the compactness and the clarity of the recursive algorithms (e.g. quad, quadv, and quadl). Our iterative algorithm provides a parallel calculation of the integration function, which leads to tremendous gain in run-time, in general. Our results suggest a general iterative and not a recursive implementation of adaptive quadrature formulas, once the programming language permits parallel access to the integration function. For details the attached PDF file Conrad_08.pdf. (Iterative Adaptive Simpson, Lobatto Points In almost every standard book on numerics quadrature algorithms like the adaptive Simpson or the adaptive Lobatto algorithm are presented in a recursive way. The benefit of the recursive programming is the compact and clear representation. However, recursive quadrature algorithms might be transformed into iterative quadrature algorithms without major modifications in the structure of the algorithm.We present iterative adaptive quadrature algorithm (adaptiveSimpson and adaptiveLobatto), which preserves the compactness and the clarity of the recursive algorithms (eg quad, quadv, and quadl) . Our iterative algorithm provides a parallel calculation of the integration function, which leads to tremendous gain in run-time, in general. Our results suggest a general iterative and not a recursive implementation of adaptive quadrature formulas, once the programming language permits parallel access to the integration function. For details the attached PDF file Conrad_08.pdf.)

数字基带传输系统的matlab仿真源码及附属文件(digital base-band transmission system Matlab simulation source code and accompanying documents)

The fusion of high-spectral/low-spatial resolution multispectral and low-spectral/high-spatial resolution panchromatic satellite images is a very useful technique in various applications of remote sensing. Recently, some studies showed that a wavelet-based image fusion method provides high quality spectral content in fused images. However, most wavelet-based methods yield fused results with spatial resolution that is less than that obtained via the Brovey, IHS, and PCA fusion methods. In this paper, we introduce a new method based on a curvelet transform, which represents edges better than wavelets. Since edges play a fundamental role in image representation, one effective means to enhance spatial resolution is to enhance the edges. The curvelet-based image fusion method provides richer information in the spatial and spectral domains simultaneously. We performed Landsat ETM+ image fusion and found that the proposed method provides optimum fusion results.