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DecimSpec
- 1）波形8倍抽取 2）对比直接抽取和添加抗混叠滤波器后的频谱(1) 8 times of waveform extraction 2) compare the spectrum after directly extracting and adding anti aliasing filter)
ExtendedPaint
- C#基础图形编辑功能； 1、基础图形绘制、颜色填充； 2、图形属性设置； 3、抗锯齿属性功能设置等等。(C# basic graphics editing function; 1, basic graphics, color filling; 2. The setting of graphic attributes; 3, anti - aliasing property setting and so on.)
VMD
- vmd，MATLAB程序，针对EMD分解引起的模态混叠问题，能够得到较纯净的IMF分量(VMD, MATLAB program, for the modal aliasing problems caused by EMD decomposition, can get relatively pure IMF components)
application
- php混淆加密 源码 代码贼6 发卡网核心代码(PHP aliasing encryption source code thief 6 hairpin network core code.)
Mygraph
- 实现了中点算法，反走样算法，区域填充，种子填充等功能(The midpoint algorithm, anti aliasing algorithm, region filling and seed filling are realized.)
memd
- emd改进算法，克服了emd算法的模态混叠，屏蔽经验模态分解算法。(The Improved EMD algorithm overcomes the modal aliasing of EMD algorithm and shields the empirical mode decomposition algorithm.)
VMD_test
- 一种分解精度高、模态混叠问题少的VMD特征提取算法，进行振动信号分解,形成初始特征向量矩阵(A VMD feature extraction algorithm with high decomposition accuracy and few modal aliasing problems is used to decompose the vibration signal and form the initial eigenvector matrix.)
MEEMD
- MEEMD是基于CEEMD的改进方法，该方法既能抑制 模态混叠，解决模态分裂，又能保证IMF分量的准确性。(MEEMD is an improved method based on CEEMD, which can not only suppress mode aliasing and solve mode splitting, but also ensure the accuracy of IMF components.)
de4dot-Support.Reactor5.0-wuhensoft
- de4dot-Reactor5.0-wuhensoft 支持NET Reactor 4.9 5.0 反混淆工具(De4dot-Reactor5.0-wuhensoft supports NET Reactor 4.9 5 anti aliasing tool.)
2
- 2. 关于无线信道的多普勒谱，请回答以下问题： (1) 在某些无线信道中，多普勒频移会引起无线信道输出信号的混叠。请描述产生混叠的各种原因； (2) 无线信道中的多普勒谱有一种经典谱(classic spectrum)，请解释产生这种谱形状的机理； (3) 请用Simulink工具编写代码(S-Function方式)，产生一单径瑞利信道，其多普勒谱为经典谱，其中移动速率为120km/h。并请描述：自己用计算机产生的经典谱是正确的依据。(2. Regarding the doppler sp
LMD分解
- LMD分解程序 能有效解决EMD的模态混叠现象，LMD结合样本熵，里面有个例子(The LMD decomposition program can effectively solve the modal aliasing phenomenon of EMD. LMD combines with sample entropy, and there is an example)
EEMD，EMD
- EEMD将特殊幅值下的高斯白噪声引入到分解的过程，可以消除上包络和下包络之间存在的拟合误差，从而很好地避免不同尺度下IMF的模态混叠现象，(EEMD can eliminate the fitting error between the upper envelope and the lower envelope by introducing the Gaussian white noise with special amplitude into the decomposition process