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说明：  周期图法谱估计的程序，这个MATLAB很好用，绝对满足您的需要(Periodogram spectral estimation procedure, the MATLAB useful, definitely meet your needs)

选择五个不同频段的信号对其进行频谱分析，根据信号的频谱特征设计五个不同的数字滤波器，将五路信号合成一路信号，分析合成信号的时域和频域特点，然后将合成信号分别通过设计好的五个数字滤波器，分离出原来的五路信号，分析得到的五路信号的时域波形和频谱，与原始信号进行比较，说明频分复用的特点。(To select one of five different band signal spectrum analysis and design of five different digital filter based on the spectral characteristics of the signal, the the Rd signal synthesizing all the way to the signal analysis in time domain and frequency domain characteristics of the synthesized signal, and then the synthesis signal by five digital filter designed, separated original signal Rd, the time-domain waveform and spectrum analysis the Rd signal is obtained, to be compared with the original signal, the frequency division multiplexed with the characteristics.)

自己编写的 基于模糊聚类算法的排序问题 希望对大家有用(Scheduling problem based on fuzzy clustering algorithm)

robotics plot for obstacle avoidance

FOC simulation in Matlab

finger print knowledge sharing with two type of datas

线性方程组的数值解法的Matlab代码 采用Gauss算法和LU分解(Matlab code of the numerical solution of linear equations using Gauss algorithm and LU factorization)

说明：  MP稀疏分解用于盲信号分离，图像压缩。去噪声等领域(MPsparse decomposition)

Important of Hopfild Neural network

：提出一种基于独立成分分析（ICA）和位隙动态分组技术的超高频（UHF）射频识别（RFID）多标签防碰撞算法。利用ICA 算法实现多目标的同时识别，利用动态位隙标签分组保证阅读器同时读取的标签数少于或等 于其天线数，从而使ICA 工作于非欠定状态(A novel ultra high frequency (UHF) radio frequency identification（RFID）anti-collision algorithm based on independent components analysis (ICA) and dynamic bit-slot grouping technology was proposed. The ICA algorithm was used for identifying several tags simultaneously. The dynamic bit-slot tags grouping technology was used for ensuring the number of tags read by a reader at the same time was less than or equal to its antennas’ number, and enabling the ICA wouldn’t work in an underdetermined state. Theoretical analysis and simulated experimental results show that the tags identification rate of the proposed algorithm is far more than that of traditional stochastic or deterministic TDMA RFID anti-collision algorithms.)