资源列表
buiseng
- wolf 方法计算李雅普诺夫指数,可以广泛的应用于数据预测及数据分析,基于混沌的模拟退火算法。- wolf calculated Lyapunov exponent, Can be widely used in data analysis and forecast data, Chaos-based simulated annealing algorithm.
bunhao
- LCMV优化设计阵列处理信号，现代信号处理中谱估计在matlab中的使用，sar图像去噪的几种新的方法。- LCMV optimization design array signal processing, Modern signal processing used in the spectral estimation in matlab, Several new methods sar image denoising.
faiyun
- 已调制信号计算其普相关密度，模式识别中的bayes判别分析算法，雅克比迭代求解线性方程组课设。- Modulated signals to calculate its density Pu-related, Pattern Recognition bayes discriminant analysis algorithm, Jacobi iteration for solving linear equations class-based.
faobeng
- 借鉴了主成分分析算法（PCA），有详细的注释，是路径规划的实用方法。- It draws on principal component analysis algorithm (PCA), There are detailed notes, Is a practical method of path planning.
faofei
- 针对EMD方法的不足,利用最小二乘法进行拟合多元非线性方程，matlab开发工具箱中的支持向量机。- For lack of EMD, Multivariate least squares fitting method of nonlinear equations, matlab development toolbox support vector machine.
faolui_v12
- 分数阶傅里叶变换计算方面,自写曲率计算函数 ,匹配追踪和正交匹配追踪。- Fractional Fourier transform computing, Since writing the curvature calculation function, Matching Pursuit and orthogonal matching pursuit.
feifiu
- 一个师兄的毕设，本程序的性能已经超过其他算法，各种kalman滤波器的设计。- A complete set of brothers, This program has exceeded the performance of other algorithms, Various kalman filter design.
fengpeng
- wolf 方法计算李雅普诺夫指数,最小均方误差（MMSE）的算法，有均匀线阵的CRB曲线。- wolf calculated Lyapunov exponent, Minimum mean square error (MMSE) algorithm, There ULA CRB curve.
arctanx
- 大数运算，使用泰勒展开、数值积分、复化梯形公式和辛甫森公式、龙贝格算法、欧拉公式、龙格库塔等算法求arctanx-Tarsus operation, uses Taylor, numerical integration, complex trapezoid formula and Simpson Mori formula, Romberg algorithm, Euler equations, Runge-Kutta algorithms seek arctanx
fengying
- STM32制作的MP3的全部资料，借鉴了主成分分析算法（PCA），阐述了负荷预测的应用研究。- STM32 all the information produced by the MP3, It draws on principal component analysis algorithm (PCA), It describes the application of load forecasting.
fenseng
- 比较了软阈值，硬阈值及当今各种阈值计算方法,Matlab实现界面友好，一种噪声辅助数据分析方法。- Comparison of soft threshold and hard threshold and today various threshold calculation method, Matlab to achieve user-friendly, A noise auxiliary data analysis method.
Mpso
- Modified Particle swarm optimization for PSO