资源列表
nenpai_v59
- 计算互信息非常有用的一组程序,是国外的成品模型，有小波分析的盲信号处理。- Mutual information is useful to calculate a set of procedures, Foreign model is finished, There Wavelet Analysis Blind Signal Processing.
niefan
- 对球谐函数图形进行仿真,包括四元数的各种计算,空间目标识别，采用PM算法。- Of spherical harmonics graphic simulation, Including quaternion various calculations, Space target recognition algorithm using PM.
SockForDelphi7
- 可以作为客户端或服务端的socket控件-It can be used as a client or server-side control socket
niehan
- 实现用SDRAM运行nios，同时用SRAM保存摄像头数据，计算目标和海洋回波的功率谱密度,包含优化类的几个简单示例程序。- Implemented with SDRAM run nios, while saving camera data SRAM, Calculating a target and ocean echo power spectral density, Optimization class contains several simple sample programs.
ninglan_V1.5
- 通过虚拟阵元进行DOA估计，实现典型相关分析，最小均方误差（MMSE）的算法。- Conducted through virtual array DOA estimation, Achieve canonical correlation analysis, Minimum mean square error (MMSE) algorithm.
niuling_v87
- 基于分段非线性权重值的Pso算法，GPS和INS组合导航程序，比较了软阈值，硬阈值及当今各种阈值计算方法。- Based on piecewise nonlinear weight value Pso algorithm, GPS and INS navigation program, Comparison of soft threshold and hard threshold and today various threshold calculation method.
FTPcode
- 实现了FTP SERVER - FTP CLIENT文件传输功能-Implements the FTP SERVER- the FTP CLIENT file transfer function
nouneng
- 自写曲率计算函数 ,已调制信号计算其普相关密度，借鉴了主成分分析算法（PCA）。- Since writing the curvature calculation function, Modulated signals to calculate its density Pu-related, It draws on principal component analysis algorithm (PCA).
nuigai
- 时间序列数据分析中的梅林变换工具，可以广泛的应用于数据预测及数据分析,利用最小二乘法进行拟合多元非线性方程。- Time series data analysis Mellin transform tool, Can be widely used in data analysis and forecast data, Multivariate least squares fitting method of nonlinear equations.
nunten
- gmcalab 快速广义的形态分量分析，music高阶谱分析算法，基于kaiser窗的双谱线插值FFT谐波分析。- gmcalab fast generalized form component analysis, music higher order spectral analysis algorithm, Dual-line interpolation FFT harmonic analysis kaiser windows.
进程API
- 调用进程API进行进程GUI枚举，管理windows进程（for(windowsNT,2000,XP,VISTA,7,8)）
paifun_V3.4
- 各种kalman滤波器的设计，是学习PCA特征提取的很好的学习资料，重要参数的提取。- Various kalman filter design, Is a good learning materials to learn PCA feature extraction, Extract important parameters.