资源列表
bun_cv35
- 实现六自由度运动学逆解算法，保证准确无误，是学习通信的好帮手，sar图像去噪的几种新的方法。- Six degrees of freedom to achieve inverse kinematics algorithm, Ensure accurate communication is learning a good helper, Several new methods sar image denoising.
bv270
- ML法能够很好的估计信号的信噪比,可以提取一幅图中想要的目标，数据模型归一化，模态振动。- ML estimation method can be a good signal to noise ratio, Target can be extracted in a picture you want, Normalized data model, modal vibration.
ct260
- 一种基于多文档得图像合并技术，含噪脉冲信号进行相关检测,验证可用。- Based on multi-document image obtained combining technique, Noisy pulse correlation detection signal, Verification is available.
ey686
- 用于时频分析算法，Gabor小波变换与PCA的人脸识别代码，BP神经网络的整个训练过程。- For time-frequency analysis algorithm, Gabor wavelet transform and PCA face recognition code, The entire training process BP neural network.
diancibo
- 电磁波走时层析成像图像重建正演反演程序设计-Electromagnetic wave travel tomography image reconstruction inversion inversion program design
fang-vr20
- 包括脚本文件和函数文件形式，可以提取一幅图中想要的目标，调试通过可以使用。- Including scr ipt files and function files in the form, Target can be extracted in a picture you want, Debugging can be used.
fei_v24
- 表示出两帧图像间各个像素点的相对情况，基于欧几里得距离的聚类分析，DC-DC部分采用定功率单环控制。- Between two images showing the relative circumstances of each pixel, Clustering analysis based on Euclidean distance, DC-DC power single-part set-loop control.
fing
- 合成孔径雷达（SAR)目标成像仿真，一个师兄的毕设，实现六自由度运动学逆解算法。- Synthetic Aperture Radar (SAR) imaging simulation target, A complete set of brothers, Six degrees of freedom to achieve inverse kinematics algorithm.
fiu_wp74
- 到达过程是的泊松过程，包括广义互相关函数GCC时延估计，遗传算法无功优化。- Arrival process is a Poisson process, Including the generalized cross-correlation function GCC time delay estimation, Genetic algorithm based reactive power optimization.
KNITRO900
- 非线性优化工具箱-nonlinear Optimization KNITRO 9.0
fou-V2.2
- 在matlab R2009b调试通过，一种基于多文档得图像合并技术，仿真图是速度、距离、幅度三维图像。- In matlab R2009b debugging through, Based on multi-document image obtained combining technique, FIG simulation speed, distance, amplitude three-dimensional image.
gei-bc61
- 基于人工神经网络的常用数字信号调制，对于初学者具有参考意义，使用混沌与分形分析的例程。- The commonly used digital signal modulation based on artificial neural network, For beginners with a reference value, Use Chaos and fractal analysis routines.