搜索资源列表
1
- 为评估电力电子装置对电网产生的危害和影响，为相应补偿装置的具体设计提供数值依据。以阻感负载的三相 桥式全控整流电路为例，理论分析并计算了其交流侧电流的谐波和功率因数；基于 Matlab/Simulink 建立的电力电子变流电 路模型，对三相桥式全控整流电路交流侧功率因数及其产生的谐波进行仿真分析。仿真使复杂的计算变得非常简便、直观， 且仿真结果与理论计算结果相差无几，从而证明了仿真研究的有效性和精确性。-To assess the risks and effects of power
ImageProcess
- 使用matlab实现的一些常见的图像增强处理，如平滑、锐化、虑波、对比度拉伸、局部增强和感兴区提取等-Use MATLAB to implement some common image enhancement processing, such as smooth, sharpen, wave, grandiose sense of contrast stretch, local contrast enhancement, and extraction
Demo_CS_IRLS
- 基于Matlab编写ct图像的IRLS算法压缩感知代码-Write ct image compression algorithm based on Matlab IRLS sense codes
compress_sensing
- 压缩感知的matlab源代码，简单，易懂，非常适合matlab初学者-The code of compress sense which is not noly sample but also easy to understand,and it is suitable for the beginner to learn.
Optimization-in-Cognitive-Radio
- 该matlab程序源码主要实现单个认知用户频谱感知敏捷性的最优化，其基本的感知环节采用能量检测法；在恒漏检准则下，感知敏捷性可以用平均的感知时间来衡量；达到平均感知时间的最小化，也就实现了感知敏捷性的最优化。-The matlab main program source code to realize the optimization of single user spectrum sensing agility, its basic perceived links using energy d
Linear_interpolation
- 用matlab绘制一维、二维的线性插值的权重函数，便于直观理解图像线性插值和双线性插值的意义。-Draw a one-dimensional, two-dimensional linear interpolation right weighting function with matlab, easy sense intuitively understand the image linear interpolation and bilinear interpolation.
pMRILab.tar
- pMRILab is a software for parallel Magnetic Resonance Imaging (pMRI) reconstruction. More precisely, it allows to perform: - the standard SENSE reconstruction - regularized SENSE reconstruction in the wavelet domain. The software is impleme
Untitled2
- 针对二维波动方程，我们研究了一个实例，即弹性薄膜的波动方程。 其实际物理意义是：两手抓住弹性薄膜的两个位置，分别提起，使薄膜上形成两个峰，在t=0时刻突然松手，根据生活常识可以预料，这两个位置的薄膜将来回震动，与此同时产生的波向四周传播，而且波与波会在相遇处叠加。用matlab编程并将这个过程可视化。(In view of the two-dimensional wave equation, we have studied an example, the wave equation of the
slipBERI-master
- slipBERI是一个基于matlab的滑动分布反演程序，它利用大地测量数据（InSAR/GNSS）求解地震滑动。(slipBERI is a matlab slip inversion code, that uses geodetic data (InSAR/GNSS) to solve for earthquake slip at depth in a Bayesian sense. The primary purpose of this function is to incorporate