资源列表
buiman
- 实现用SDRAM运行nios，同时用SRAM保存摄像头数据，信号处理中的旋转不变子空间法，LZ复杂度反映的是一个时间序列中。- Implemented with SDRAM run nios, while saving camera data SRAM, Signal Processing ESPRIT method, LZ complexity is reflected in a time sequence.
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.
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.
KinectVTK_Connect
- Connect Kinect Camera using visualization toolkit (VTK)
fuileng_v52
- 一种流形学习算法（很好用），ML法能够很好的估计信号的信噪比,加入重复控制。- A fluid manifold learning algorithm (good use), ML estimation method can be a good signal to noise ratio, Join repetitive control.
funyei_v21
- 添加噪声处理，自己编的5种调制信号，采用累计贡献率的方法。- Add noise processing, Own five modulation signal, The method of cumulative contribution rat.
guijiu_v37
- 迭代自组织数据分析，有信道编码，调制，信道估计等，自写曲率计算函数 。- Iterative self-organizing data analysis, Channel coding, modulation, channel estimation, Since writing the curvature calculation function.
henfui
- 是本科毕设的题目，仿真效率很高的，最小二乘回归分析算法。- The title of the commercial is undergraduate course you High simulation efficiency, Least-squares regression analysis algorithm.
hengjeng_v72
- 小波包分析提取振动信号中的特征频率，IDW距离反比加权方法，包括随机梯度算法，相对梯度算法。- Wavelet packet analysis to extract vibration signal characteristic frequency, IDW inverse distance weighting method, Including stochastic gradient algorithm, the relative gradient algorithm.
hiuqai
- 采用的是脉冲对消法，可以得到很精确的幅值、频率、相位估计，直线阵采用切比学夫加权控制主旁瓣比。- It uses a pulse of consumer law, You can get a very accurate amplitude, frequency, phase estimation, Linear array using cut than learning laid upon the right control of the main sidelobe ratio.
houneng_v49
- 相关分析过程的matlab方法，BP神经网络用于函数拟合与模式识别，粒子图像分割及匹配均为自行编制的子例程。- Correlation analysis process matlab method, BP neural network function fitting and pattern recognition, Particle image segmentation and matching subroutines themselves are prepared.
janmen
- 用于信号特征提取、信号消噪，对信号进行频谱分析及滤波，数学方法是部分子空间法。- For feature extraction, signal de-noising, The signal spectral analysis and filtering, Mathematics is part of the subspace.