Vendor-pol_matlab

gold序列的生成 PN序列Gold序列极好的自相关性 生成64位的PN序列 (Gold sequence generated PN sequence gold sequence excellent correlation )

两个设备形成对射，当有人通过时，一台设备发出指令，控制别的设备。(Two devices formed on the radio, when someone passed a device to issue commands to control other devices.)

说明：  为了减少边缘检测中的噪声影响,设计了一种分数阶差分滤波器,给出了该滤波器的原理,分析了此类滤波器的幅频特性.(In order to reduce the effect of the noise in edge detection,a kind of fractional-order difference filters were designed,whose theory was worked out and amplitude-frequency characteristic were analyzed.)

带汉明码的直接序列变换DSSS，直接序列变化中采用了hamm编码方式，带GUI(Hamming codes with the direct-sequence transform DSSS direct sequence changes hamm used in the encoding, with GUI)

航空类MATLAB程序 航空类MATLAB程序 航空类MATLAB程序 (MATLAB program Airline Airline Airline MATLAB program MATLAB program)

说明：  MATLAB7.0混合编程,pdg格式电子书，从学校超星图书馆荡下来的，很不错，需要安装超星4.0阅览器！(MATLAB7.0 mixed programming, pdg format e-books, from school libraries Chaoxing swing down, it is good, need to install Chaoxing 4.0 browser!)

利用EM算法实现高斯混合模型的优化，完成特征建模(Use of EM Algorithm to to achieve the the the optimization of of the Gaussian mixture model, to complete the Feature Modeling)

particle filter example using matlab

利用matlab GUI实现的串口编程例子，实现了图像的灰度化并进一步用于视频监视控，最大信噪比的独立分量分析算法。( Use serial programming examples matlab GUI implementation, Achieve a grayscale image and further control for video surveillance, SNR largest independent component analysis algorithm.)

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.)