搜索资源列表
compute_descriptors.ln
- sift特征描述算法,可以用于计算sift特征的特征描述-sift profiling algorithm can be used to calculate sift feature profiling
GP_Algorithm2.0
- G-P算法计算关联维的 Matlab 程序 (升级版,mex函数,超快) ----------------------------------- 更新部分: 引入限制短暂分离参数,使该参数大于序列平均周期时,去除了同一轨道前后点的关联, 使 r 值较小时,ln r - ln C(r) 曲线接近线性-G-P method to calculate the correlation dimension of the Matlab program (upgrade versi
localnormalize
- LOCALNORMALIZE A local normalization algorithm that uniformizes the local mean and variance of an image. ln=localnormalize(IM,sigma1,sigma2) outputs local normalization effect of image IM using local mean and standard deviation estimated by Gaus
h_affine.ln
- 图像仿射变换的源码,可以好好看一下!试试吧 不错的!国外牛人写得-Affine transformation of the source image can be a good look! Good try! Cattle were written abroad
SAR
- 以MSTAR为实验数据,对SAR影像进行杂波统计分析研究。利用高斯、瑞利、对数正态、LN、gamma函数模型对其拟合,通过K-S方法检验拟合精度-The MSTAR the experimental data, statistical analysis of SAR images of clutter. Gaussian, Rayleigh, lognormal, LN, gamma function model to its fitting, fitting by means of check
main_orlyang_optproj
- 众所周知,特征抽取是模式识别中最基本的问题之一,抽取有效的鉴别特征是解决识别问题的关键。特征抽取即为将原始样本映射(或变换)到某一低维特征空间,得到最能反映分类本质的低维样本特征,有效地实现分类问题。-function wrong=Near_classify(final_sample,ln)
main_eigenface_proj
- 众所周知,特征抽取是模式识别中最基本的问题之一,抽取有效的鉴别特征是解决识别问题的关键。特征抽取即为将原始样本映射(或变换)到某一低维特征空间,得到最能反映分类本质的低维样本特征,有效地实现分类问题。-function wrong=Near_classify(final_sample,ln)
caculate109
- 简单的计算器程序,能够进行科学计算,即输入表达式之后可以得到结果,而且支持sin,cos,ln等的计算-Simple calculator program, to carry out scientific computing, that is, after the importation of expression can be the result of, and support the sin, cos, ln, such as the calculation of
calculator176
- 简单计算器,可以实现⑴正弦sin⑵余弦cos⑶正切tan⑷开平方sqrt⑸反正弦arcsin⑹反余弦arccos⑺反正切arctan⑻常用对数lg⑼自然对数ln⑽e指数exp⑾乘幂函数∧-A simple calculator, you can achieve of ⑴ sine sin ⑵ the cosine cos ⑶ tangent tan ⑷ open square sqrt ⑸ anyway chord arcsin ⑹ inverse cosine arccos ⑺ arctang
h_affine.ln
- 可解压的h_affine.ln.gz,解压后需要输入命令 chmod 777 h_affine.ln .-Please input the command chmod 777 h_affine.ln in the terminal before use it to the data.