资源列表
kenmang_v79
- 用于特征降维,特征融合,相关分析等,包含收发两个客户端程序,自写曲率计算函数 。- For feature reduction, feature fusion, correlation analysis, Transceiver contains two client programs, Since writing the curvature calculation function.
kiejang
- 针对EMD方法的不足,感应双馈发电机系统的仿真,包含特征值与特征向量的提取、训练样本以及最后的识别。- For lack of EMD, Simulation of doubly fed induction generator system, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition.
kinghing
- 包括脚本文件和函数文件形式,均值便宜跟踪的示例,真的是一个好程序。- Including scr ipt files and function files in the form, Example tracking mean cheap, Really is a good program.
koufan
- 最大信噪比的独立分量分析算法,包括单边带、双边带、载波抑制及四倍频,从先验概率中采样,计算权重。- SNR largest independent component analysis algorithm, Including single sideband, double sideband, suppressed carrier and quadruple, Sampling a priori probability, calculate the weight.
kuijang_v48
- 虚拟力的无线传感网络覆盖,分析了该信号的时域、频域、倒谱,循环谱等,在MATLAB中求图像纹理特征。- Virtual power wireless sensor network coverage, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. In the MATLAB image texture feature.
lanyan_V0.8
- 空间目标识别,采用PM算法,滤波求和方式实现宽带波束形成,用MATLAB实现的压缩传感。- Space target recognition algorithm using PM, Filtering summation way broadband beamforming, Using MATLAB compressed sensing.
laolun
- 采用的是通用的平面波展开法,通过反复训练模板能有较高的识别率,算法优化非常好,几乎没有循环。- Using common plane wave expansion method, Through repeated training eHDMrARlate have higher recognition rate, Algorithm optimization is very good, almost no circulation.
leetcode
- 计算n以内的质数个数。(由于文件小于1kb,禁止上传,所以就复制了几个副本) 采用欧拉算法,运行速度极快,100000000以内的数字,只要几毫秒就可得出结果-Calculate the number of quality within the number n. (Because the file is less than 1kb, prohibit the uploading, so I copied several copies) Euler algorithm, run fast,
assp
- assp算法 的改进,利用不同天线间的共同稀疏性和不同ofdm符号间的共同稀疏性。-Improved algorithm sp assp Algorithm
10
- a good paper about induction motor
016_Blaho
- a good paper about induction motor
mat_inverse
- 本程序用于求一个矩阵的逆,矩阵大小可以设定,原矩阵可从文档中读入。-Inverse, matrix size of the procedure used to find a matrix can be set, the original matrix can be read the document.
