sonido

human iris pattern recognition for biometrics

线性预测编码的实现 对于初学者来说还是比较好用的

用于文本分析和分类的pLSA(Probability Latent Semantic Analysis)的Matlab算法，含有测试数据及算法原理介绍。也可用于图像分析。相比原来的版本，增加了示例程序demo.m，以实现可视化效果，用户更容易使用和理解pLSA算法。(For text analysis and classification of pLSA (Probability Latent Semantic Analysis) of the Matlab algorithm with test data and algorithm theory description. Can also be used for image analysis. Compared to the original version, an increase of sample programs demo.m, to achieve the visual effect, the user can more easily use and understand the algorithm.)

换能器阵元的不同排列组合决定其指向性，波束形成是多波束测量的关键技术。文中 通过数学计算总结了不同换能器阵进行波束形成的工作原理，并介绍了利用二维DFT进行频 域波束形成的一般方法。最后结合现役多波束测深系统，简单解释说明不同系统所采用的波束 形成技术。(Transducer using an array of different permutations and combinations to determine its directivity, beam formation is the key technology for multi-beam measurements. Summarized by mathematical calculations the transducer array beamforming works, and describes the general method of two-dimensional DFT in the frequency domain beam formation. Finally, the active-duty multi-beam sounding system, the simple explanation of the different systems used in beamforming technology.)

这是FCBF的matlab程序。FCBF是比较实用的特征选择和降维的方法。在这个文件里面，有个word文件详细说明了FCBF的使用方法。本站只有FCBF的java程序。(This is a matlab program of FCBF. FCBF is a more practical method of feature selection and dimensionality reduction. Within the file, a word file detailed deccribed the usage of FCBF. However, the home station only has a java program.)

《visual c++matlab图像处理与识别实用案例精选》源码与Visual C++_MATLAB图像处理与识别实用案例精选(" Visual c++ matlab image processing and recognition of practical cases selected" source code and Visual C++ _MATLAB image processing and recognition of practical cases selected)

说明：  matlab的模糊函数实现。可以成功实现函数图像显示。测试成功。(matlab implementation of fuzzy function. Image display function can be successful. Tested successfully.)

学习MATLAB的电子书籍，该电子书由清华大学主编。(Learning MATLAB e-Books,the editor-in-chief of the e-book is Tsinghua University.)

filename: rayleigh_fading.m function: rayleigh fading input parameters: multipath_ID (user, multipath) output parameters: envelope read files: no generate files: no call functions: no called by: wireless_UL, wireless_DL Execution Time: case 1: 29/100 Seconds(100 times called)(N=25) case 2: 4.4/100 Seconds(100 times called)(N=25) Sun Jianxun, Apr., 02, 2001

说明：  每个传感器具有一定的范围和精度，而且周围环境可能对它们产生干扰。即单传感器只能提供部分不精确的信息，从而不能排除对外界环境描述的歧义性。鉴于各传感器性能上的差异表现出的互补性，如果综合各个传感器的信息，就能得到比单一传感器所能提供的更准确可靠的信息。简言之，与单一传感器相比，多传感器数据融合由于信息的冗余性和互补性存在很多方面的优势。 多传感器融合(Each sensor has a certain range and accuracy, and the surrounding environment may interfere with them. That is to say, a single sensor can only provide some inaccurate information, so it can not rule out the ambiguity of the description of the external environment. In view of the complementarity of the differences in the performance of each sensor, if we synthesize the information of each sensor, we can get more accurate and reliable information than a single sensor can provide. In short, compared with a single sensor, multi-sensor data fusion has many advantages due to the redundancy and complementarity of information.)