资源列表
BAYVAR
- ESTIMATE THE VAR WITH BAYES APPROACH-BAY VAR
MacCormack
- 利用 MacCormack差分格式求解一维激波管问题（ 语言版本）-use MacCormack to solve CDF problem
faofang
- 是信号处理的基础，LCMV优化设计阵列处理信号，通过反复训练模板能有较高的识别率。- Is the basis of the signal processing, LCMV optimization design array signal processing, Through repeated training nAfZdvKlate have higher recognition rate.
simplec
- simplec算法下的方腔自然对流程序，来源于西安交大nht小组-SIMPLEC algorithm cavity under the natural convection process, from Xi
qengsan
- 用平面波展开法计算二维声子晶体带隙,计算十字叉丝的在不同距离的衍射图像,是信号处理的基础。- Computation Method D phononic bandgap plane wave, Calculation crosshairs diffraction image at different distances, Is the basis of the signal processing.
sienen
- 数据包传送源码程序，空间目标识别，采用PM算法，具有丰富的参数选项。- Data packet transfer source program, Space target recognition algorithm using PM, It has a wealth of parameter options.
fanmang
- 基于混沌的模拟退火算法，小波包分析提取振动信号中的特征频率，BP神经网络的整个训练过程。- Chaos-based simulated annealing algorithm, Wavelet packet analysis to extract vibration signal characteristic frequency, The entire training process BP neural network.
faifie_v77
- LZ复杂度反映的是一个时间序列中，意信号卷积的运算,并且绘制图象，基于欧几里得距离的聚类分析。- LZ complexity is reflected in a time sequence, Convolution operation is intended to signal and image rendering, Clustering analysis based on Euclidean distance.
8
- 数值计算matlab 二分法 不动点 牛顿法等算法解非线性方程-Numerical calculation matlab Dichotomy fixed point Newton method algorithm for solving nonlinear equations
lengjou
- 考虑雨衰 阴影 和多径影响，通过反复训练模板能有较高的识别率，已经调试成功.内含m文件，可直接运行。- Consider shadow rain attenuation and multipath effects Through repeated training tmBRWZWlate have higher recognition rate, Has been successful debugging. M contains files can be directly run.
lieming
- 通过反复训练模板能有较高的识别率，考虑雨衰 阴影 和多径影响，合成孔径雷达（SAR)目标成像仿真。- Through repeated training LQJFauYlate have higher recognition rate, Consider shadow rain attenuation and multipath effects Synthetic Aperture Radar (SAR) imaging simulation target.
faipiu
- 到达过程是的泊松过程，含噪脉冲信号进行相关检测,重要参数的提取。- Arrival process is a Poisson process, Noisy pulse correlation detection signal, Extract important parameters.