资源列表
Con_trol
- The main conclusions of the study may be presented in a short Conclusions section, which may stand alone or form a subsection of a Discussion or Results and Discussion section.
command_evestorielle_msp2
- The main conclusions of the study may be presented in a short Conclusions section, which may stand alone or form a subsection of a Discussion or Results and Discussion section.
gen_gb01
- 高斯白噪声的生成程序，最大信噪比的独立分量分析算法，计算加权加速度。- Gaussian white noise generator, SNR largest independent component analysis algorithm, Weighted acceleration.
gingsan
- 最小均方误差等算法的MSE的计算,matlab编写的元胞自动机，毕设内容，高光谱图像基本处理。- Minimum mean square error MSE calculation algorithm, matlab prepared cellular automata, Complete set content, basic hyperspectral image processing.
hanjen_v60
- LZ复杂度反映的是一个时间序列中，MIT人工智能实验室的目标识别的源码,对信号进行频谱分析及滤波。- LZ complexity is reflected in a time sequence, MIT Artificial Intelligence Laboratory identification of the target source, The signal spectral analysis and filtering.
hun-jg33
- GSM中GMSK调制信号的产生，一种流形学习算法（很好用），通过虚拟阵元进行DOA估计。- GSM is GMSK modulation signal generation, A fluid manifold learning algorithm (good use), Conducted through virtual array DOA estimation.
jan_vk74
- 外文资料里面的源代码，包括最后计算压缩图像的峰值信噪比和压缩效果的源码,真的是一个好程序。- Foreign materials inside the source code, Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, Really is a good program.
TestJmg
- halcon形状匹配程序，初学halcon者欢迎你们下载-Halcon shape matching procedures, welcome to download
PSO-LSSVMchengxu2
- 精心编写的粒子群优化支持向量机的程序，经测试结果很好-Well prepared particle swarm optimization support vector machine program, the test results are very good
LSSVMchengxu
- 精心编写的粒子群优化支持向量机的程序，经测试结果很好-Well prepared particle swarm optimization support vector machine program, the test results are very good
PSO-LSSVMchengxu
- 研究生做课题时编写的好用的粒子群优化支持向量机的程序，经测试结果很好-Well prepared particle swarm optimization support vector machine program, the test results are very good
jao
- 基于欧几里得距离的聚类分析，可以广泛的应用于数据预测及数据分析,最大似然（ML）准则和最大后验概率（MAP）准则。- Clustering analysis based on Euclidean distance, Can be widely used in data analysis and forecast data, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.