资源列表
matlab
- (1) 读取n副连续有重叠部分的图像，在n副图像中检测SIFT特征，并用SIFT 特征描述子对其进行描述。 (2) 匹配相邻图像的特征点，并根据特征点向量消除误匹配。 (3) 使用RANSAC方法，确定变换参数。 (4) 图像融合 -(1) Read n successive overlapping sub-part of the image, the image of the n sub-SIFT features detected and characterized us
BLDC_with_freewheeling_diode
- 考虑换相情况下二极管续流的直流无刷电机模型，能真实模拟直流无刷电机换相脉动，极具参考价值-BLDC control model with consideration of freewheeling diode
SAMP
- 稀疏自适应匹配追踪算法，无需稀疏度，就可以重构原始信号。-Sparse adaptive matching pursuit algorithm, without sparsity, we can reconstruct the original signal.
CoSaMP
- CoSaMP算法，在重构信号时，选取两倍稀疏度的原子来恢复原始信号，再删去一倍稀疏度的原子。-CoSaMP algorithm, in the reconstructed signal, select twice the atomic sparsity to recover the original signal, and then deleting the double sparsity of atoms.
GP
- 梯度追踪算法，是压缩感知重构算法中计算较为复杂的算法。-Gradient tracking algorithm, is compressed sensing reconstruction algorithm to calculate more complex algorithms.
low_band_sample
- 针对低通采样信号和带通采样信号分别用满足乃奎斯特抽样定理和不满足乃奎斯特抽样定理的条件进行抽样，并分析其频谱特征。-For lowpass and bandpass sampled signal sampled signals were used to satisfy the Nyquist sampling theorem and the Nyquist sampling theorem does not satisfy the conditions of sampling and analy
MVDR
- 这是功率谱估计MVDR算法的实现，代码能仿真成功-This is the power spectrum estimation in MVDR algorithm, the code can be successful simulation
Porous_Medium_Flows
- 学习多孔介质的好算法。可以放心参考运用,可以运行的-Porous media is a good learning algorithms. You can rest assured reference use, you can run
Harmonic_filter
- 一个自己整理的CIC梳状滤波器和调试数据。主要功能是可以滤除谐波。 方便好用，调整输入参数和数据源即可。-A CIC filter and the coresponding data. Parameter input and file name changes are the only you to do for your fun.
FTW_PLC_Simulator_v1.4
- Power line comunication simulator
emdqyj
- 经验模态分解，EMD代码，采用经验模态分解求取行波故障波形突变点-emd code
matlab-np-solve
- 各类实现np问题的matlab算法，本人做4年数学建模累积的，内有蚁群，bintlp，弗洛伊德，kruskal等等程序-Np problem matlab realize all kinds of algorithms, mathematical modeling I did four years of accumulation, there colony, bintlp, Freud, kruskal etc. Program