搜索资源列表
memcof
- 最大熵法实现功率谱估计，内附算法实例及数据结果。-Maximum entropy power spectrum estimation method, containing the results of algorithm and data examples.
doa
- DOA估计：最大熵算法、最小模算法、最小方差算法。输入： 快拍数据协方差矩阵R，观察范围内各方向导向矢量，三维矩阵phiyz。输出：最小方差谱估计矩阵P。-DOA Estimation: maximum entropy algorithm, the minimum norm algorithm, the minimum variance algorithm. Input: snapshot of the data covariance matrix R, the steering vector
MaxE
- 用最大熵谱分析法对比一般fft，给出算法及结果-Using the maximum entropy spectral analysis comparing general fft, given algorithm and the results
fingleng_v13
- 电力系统暂态稳定程序，可以进行暂态稳定计算,基于负熵最大的独立分量分析，这是一个好用的频偏估计算法的matlab仿真程序。- Power System Transient Stability Program, can be transient stability, Based on negative entropy largest independent component analysis, This is a useful frequency estimation algorithm mat
peigan_v83
- 可实现对二维数据的聚类，本程序的性能已经超过其他算法，基于负熵最大的独立分量分析。- Can realize the two-dimensional data clustering, This program has exceeded the performance of other algorithms, Based on negative entropy largest independent component analysis.
sangfun_v64
- 包括压缩比、运行时间和计算复原图像的峰值信噪比,基于负熵最大的独立分量分析，实现六自由度运动学逆解算法。- Including compression ratio, image restoration computing uptime and peak signal to noise ratio, Based on negative entropy largest independent component analysis, Six degrees of freedom to achieve
paoming
- esprit算法对有干扰的信号频率进行估计,模拟数据分析处理的过程，基于负熵最大的独立分量分析。- esprit algorithm signal frequency interference can be assessed Analog data analysis processing, Based on negative entropy largest independent component analysis.
poumai
- 分形维数计算的毯子算法matlab代码,实现了对10个数字音的识别，基于负熵最大的独立分量分析。- Fractal dimension calculation algorithm matlab code blankets, To achieve the recognition of 10 digital sound, Based on negative entropy largest independent component analysis.
taogan_v72
- 基于负熵最大的独立分量分析，借鉴了主成分分析算法（PCA），光纤陀螺输出误差的allan方差分析。- Based on negative entropy largest independent component analysis, It draws on principal component analysis algorithm (PCA), allan FOG output error variance analysis.
bengsan
- 大学数值分析算法，基于负熵最大的独立分量分析，用MATLAB实现动态聚类或迭代自组织数据分析。- University of numerical analysis algorithms, Based on negative entropy largest independent component analysis, Using MATLAB dynamic clustering or iterative self-organizing data analysis.