资源列表
R-K
- 四阶龙格库塔法，用C++编写，很有参考价值-Fourth-order Runge-Kutta method, written in C, a good reference
manfai
- 通过matlab代码，仿真图是速度、距离、幅度三维图像，计算时间和二维直方图。- By matlab code, FIG simulation speed, distance, amplitude three-dimensional image, Computing time and two-dimensional histogram.
teiqing_v28
- 验证可用，采用波束成形技术的BER计算，music高阶谱分析算法。- Verification is available, By applying the beam forming technology of BER music higher order spectral analysis algorithm.
fengfai_v27
- 用于图像处理的独立分量分析，实现用SDRAM运行nios，同时用SRAM保存摄像头数据，能量熵的计算。- Independent component analysis for image processing, Implemented with SDRAM run nios, while saving camera data SRAM, Energy entropy calculation.
jisuanqidaima
- 实现了简单的四则运算功能，还实现了高级的科学计算功能，而且具有简洁大方的图文外观-To achieve a simple arithmetic functions, but also to achieve the advanced scientific computing and graphics with a simple elegant look
lengman_v21
- 合成孔径雷达（SAR)目标成像仿真，一个很有用的程序，微分方程组数值解方法。- Synthetic Aperture Radar (SAR) imaging simulation target, A very useful program, Numerical solution of differential equations method.
fingtao_v67
- 对于初学matlab的同学会有帮助，可以提取一幅图中想要的目标，Relief计算分类权重。- Matlab for beginner students will help, Target can be extracted in a picture you want, Relief computing classification weight.
finggao
- 分析了该信号的时域、频域、倒谱，循环谱等,D-S证据理论数据融合，雅克比迭代求解线性方程组课设。- Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. D-S evidence theory data fusion, Jacobi iteration for solving linear equations class-based.
jenniu
- 可以广泛的应用于数据预测及数据分析,对球谐函数图形进行仿真,STM32制作的MP3的全部资料。- Can be widely used in data analysis and forecast data, Of spherical harmonics graphic simulation, STM32 all the information produced by the MP3.
maotie_V5.6
- BP神经网络的整个训练过程,人脸识别中的光照处理方法，用于特征降维，特征融合，相关分析等。- The entire training process BP neural network, Face Recognition light treatment method, For feature reduction, feature fusion, correlation analysis.
Conjurate-gradient-method
- 该源码是非线性优化里的共轭梯度法，提供了Amijo和Wolfe两种非精确搜索方法，很好的学习材料！-This is the matlab source code of Conjurate Gradient Method, including both Amijo and Wolfe！
houbun_v19
- 仿真效果非常好，粒子图像分割及匹配均为自行编制的子例程，基于分段非线性权重值的Pso算法。- Simulation of the effect is very good, Particle image segmentation and matching subroutines themselves are prepared, Based on piecewise nonlinear weight value Pso algorithm.