m

说明：   计算群体感应模型的分叉图，直接描述模型随时滞变化的(Computing the bifurcation digram of quorum sensing and decribing the change with delay)

关于自适应滤波的MATLAB原程序,包括LMSRLS算法.(MATLAB on the adaptive filtering of the original procedures, including LMSRLS algorithm.)

在重构相空间的基础上计算吸引子的分形维时,合适的嵌入维m和时间滞后τ的选取至关重要.在虚假邻域概念基础上,本文给出了确定m和τ的方法.较之以前的方法,此方法更准确、简单、容易理解、易实施,对较小样本数据集也可靠.最后的应用实例验证了理论的正确性.(In the reconstructed phase space based on the calculation of the fractal dimension of attractor, the appropriate embedding dimension m and time lag τ selection is essential. In a mock neighborhood based on the concept, this paper presents the method to determine m and τ. Compared with the previous methods, this method is more accurate, simple, easy to understand, easy to implement on a smaller set of sample data is also reliable. The last application example to verify the theoretical correctness.)

new bpf and regress method to sound file

一个双线性滤波器的设计，用MAtlab编的 (A bilinear filter design, Matlab series)

用matlab编程实现MIMO中Alamouti算法，2个发射天线2个接收天线(fullfill Alamouti algorithm in MIMO(2X2) using matlab)

In this paper a Conventional PD Controller and Fuzzy Neural Controller for trajectory tracking of mobile robot platform is presented. Using computed torque method is given input- torque on mobile robot wheels. The locomotion control structure is based on integration of kinematics and dynamics model of mobile robot base. The proposed Control scheme and Fuzzy Neural Algorithm could be useful for building an autonomous non-destructive testing system based on wheeled mobile robot. Fuzzy Neural Network-Rule base, is optimized using Genetic Algorithm. Simulations are done using Matlab software. Key words:Mobile Robot, Conventional, Fuzzy Logic, Neural Network, Genetic Algorithm, trajectory tracking,

在matlab simulink中建立动态相量分析模块，并对信号进行动态相量分析，验证其有效性(the dynamic phasor analysis module is built at matlab simulink, a signal s dynamic phasor is analized to test this module)

用MATLAB实现的基于MFCC特征和VQ量化的说话认识别程序(Realize using MATLAB-based features and MFCC quantization VQ other words awareness program)

基于UP、UPF、CRPF的WSN目标跟踪算法，然后对 其基于CRPF的目标跟踪过程进行描述。(Based on the characteristics of low cost,low power,small size,high redundancy and multi-function,it is more convenient,more reliable and more effective for WSN to apply to target tracking than traditional system.)