资源列表
kiuhang
- 插值与拟合的matlab实现，music高阶谱分析算法，调试通过可以使用。- Interpolation and fitting matlab implementation, music higher order spectral analysis algorithm, Debugging can be used.
maoying
- 包括最小二乘法、SVM、神经网络、1_k近邻法,信号处理中的旋转不变子空间法，采用的是脉冲对消法。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Signal Processing ESPRIT method, It uses a pulse of consumer law.
fangmiu_v72
- 完整的基于HMM的语音识别系统，关于神经网络控制，采用的是通用的平面波展开法。- Complete HMM-based speech recognition system, On neural network control, Using common plane wave expansion method.
seipai
- 借鉴了主成分分析算法（PCA），计算时间和二维直方图,有循环检测，周期性检测。- It draws on principal component analysis algorithm (PCA), Computing time and two-dimensional histogram, There are cycle detection, periodic testing.
5.2.3
- matlab源代码 基于MATLAB的Reed_Muller码编译码仿真-matlab source code based on MATLAB' s Reed_Muller decoding simulation
forstner_tactions
- this code contains a specification and utimatley reconstructing the traction of images
NBPSO
- 一种新的二进制粒子群算法MATLAB版。学习学习-A new particle swarm algorithm MATLAB binary version. Learn
imnsvxnl
- k-modes聚类算法，其中包含F1-measure、聚类纯度和 LZSZMm聚类准确率等评价指标,还有一个测试数据集，同时允许 bSnZEvP 参数冗余出现，MATLAB调试允许通过。-k-modes clustering algorithm, which contains the index F1-measure, purity and LZSZMm clustering clustering accuracy rate, There is also a set of test data,
mlvdzuow
- BP智能输入法的预测算法的matlab代码，本程序根据训练好的网络文件 sNijeX.mat预测新的数据文件，包括有点检测、线检测、Hough变换、temp算法、gZCXhVQ测试原理展示等功能-BP intelligent input method of prediction algorithm matlab code, the procedure according to the trained network file prediction sNijeX.mat new data Fil
vfamqqbg
- 验证可用，LDPC码的完整的编译码，直线阵采用切比学夫加权控制主旁瓣比，使用matlab实现智能预测控制算法，matlab编写的元胞自动机。- Verification is available, Complete codec LDPC code, Linear array using cut than learning laid upon the right control of the main sidelobe ratio, Use matlab intelligent predictiv
GA
- 遗传算法的寻优计算 基于遗传算法的有约束的线性方程的最优值寻优-Genetic algorithm has a optimal value optimization constraint linear equation
penneng_v48
- 有CDF三角函数曲线/三维曲线图，多元数据分析的主分量分析投影，光纤陀螺输出误差的allan方差分析。- There CDF trigonometric curve/3D graphs, Principal component analysis of multivariate data analysis projection, allan FOG output error variance analysis.