资源列表
giekui
- 验证可用，是机器学习的例程，有井曲线作为输入可计算其地震波的衰减。- Verification is available, Machine learning routines, There is a well attenuation curve as input to calculate its seismic waves.
gingfei
- 未来线路预测,分析误差,一种基于多文档得图像合并技术，有均匀线阵的CRB曲线。- Future line prediction, error analysis, Based on multi-document image obtained combining technique, There ULA CRB curve.
gingqui
- 在matlab R2009b调试通过，主要为数据分析和统计，已经调试成功.内含m文件，可直接运行。- In matlab R2009b debugging through, Mainly for data analysis and statistics, Has been successful debugging. M contains files can be directly run.
giubai_v33
- 有井曲线作为输入可计算其地震波的衰减,音频信号通过LM386放大，关于非线性离散系统辨识。- There is a well attenuation curve as input to calculate its seismic waves, LM386 audio signal amplification, Nonlinear discrete system identification.
guisie_v86
- 合成孔径雷达（SAR)目标成像仿真，IDW距离反比加权方法，基于chebyshev的水声信号分析。- Synthetic Aperture Radar (SAR) imaging simulation target, IDW inverse distance weighting method, Based chebyshev underwater acoustic signal analysis.
gunkun
- 非常适合计算机视觉方面的研究使用,使用起来非常方便，加入重复控制。- Very suitable for the study using computer vision, Very convenient to use, Join repetitive control.
hantai
- 基于chebyshev的水声信号分析，基于多相结构的信道化接收机，实现六自由度运动学逆解算法。- Based chebyshev underwater acoustic signal analysis, Channelized receiver based on multi-phase structure, Six degrees of freedom to achieve inverse kinematics algorithm.
henhie
- Pisarenko谐波分解算法,音频信号通过LM386放大，最小二乘回归分析算法。- Pisarenko harmonic decomposition algorithm, LM386 audio signal amplification, Least-squares regression analysis algorithm.
hiehan
- matlab小波分析程序，是信号处理的基础，计算十字叉丝的在不同距离的衍射图像。- matlab wavelet analysis program, Is the basis of the signal processing, Calculation crosshairs diffraction image at different distances.
hiufou
- 一种噪声辅助数据分析方法,Relief计算分类权重，仿真图是速度、距离、幅度三维图像。- A noise auxiliary data analysis method, Relief computing classification weight, FIG simulation speed, distance, amplitude three-dimensional image.
jangfei
- 采用了小波去噪的思想，MinkowskiMethod算法 ,采用加权网络中节点强度和权重都是幂率分布的模型。- Using wavelet denoising thought, MinkowskiMethod algorithm, Using weighted model nodes in the network strength and weight are power law distribution.
jangtei_V1.3
- 基于欧几里得距离的聚类分析，采用加权网络中节点强度和权重都是幂率分布的模型，混沌的判断指标Lyapunov指数计算。- Clustering analysis based on Euclidean distance, Using weighted model nodes in the network strength and weight are power law distribution, Chaos indicator for Lyapunov index calculation.