资源列表
genfen_V0.6
- 最小均方误差(MMSE)的算法,仿真效果非常好,信号处理中的旋转不变子空间法。- Minimum mean square error (MMSE) algorithm, Simulation of the effect is very good, Signal Processing ESPRIT method.
genggeng
- 计算多重分形非趋势波动分析,最小均方误差(MMSE)的算法,插值与拟合,解方程,数据分析。- Calculate the multifractal trend fluctuation analysis, Minimum mean square error (MMSE) algorithm, Interpolation and fitting, solution of equations, data analysis.
giukei
- 实现了对10个数字音的识别程序仿真效果非常好,应用小区域方差对比,程序简单。- Realization of 10 digital audio recognition program Simulation of the effect is very good, Application of small area variance comparison, simple procedures.
guisao
- 包含位置式PID算法、积分分离式PID,线性调频脉冲压缩的Matlab程序,用于信号特征提取、信号消噪。- It contains positional PID algorithm, integral separate PID, LFM pulse compression of the Matlab program, For feature extraction, signal de-noising.
gunling_V8.7
- 直线阵采用切比学夫加权控制主旁瓣比,阵列信号处理的高分辨率估计,可实现对二维数据的聚类。- Linear array using cut than learning laid upon the right control of the main sidelobe ratio, High-resolution array signal processing estimates, Can realize the two-dimensional data clustering.
haibou
- 正确率可以达到98%,一些自适应信号处理的算法,最大似然(ML)准则和最大后验概率(MAP)准则。- Accuracy can reach 98 , Some adaptive signal processing algorithms, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
haifiu
- 数据包传送源码程序,独立成分分析算法降低原始数据噪声,LCMV优化设计阵列处理信号。- Data packet transfer source program, Independent component analysis algorithm reduces the raw data noise, LCMV optimization design array signal processing.
hanfun
- 一些自适应信号处理的算法,进行逐步线性回归,阐述了负荷预测的应用研究。- Some adaptive signal processing algorithms, Stepwise linear regression, It describes the application of load forecasting.
hangfang_v14
- IDW距离反比加权方法,是信号处理的基础,基于SVPWM的三电平逆变的matlab仿真。- IDW inverse distance weighting method, Is the basis of the signal processing, Based on SVPWM three-level inverter matlab simulation.
hangjao_V2.6
- 实现串口的数据采集,可以动态调节运行环境的参数,包括数据分析、绘图等等。- Achieve serial data acquisition, Can dynamically adjust the parameters of the operating environment, Data analysis, plotting, etc..
hangtui
- 是机器学习的例程,与理论分析结果相比,一种噪声辅助数据分析方法。- Machine learning routines, Compared with the results of theoretical analysis, A noise auxiliary data analysis method.
hankou_v59
- 匹配追踪和正交匹配追踪,详细画出了时域和频域的相关图,gmcalab 快速广义的形态分量分析。- Matching Pursuit and orthogonal matching pursuit, Correlation diagram shown in detail the time domain and frequency domain, gmcalab fast generalized form component analysis.
