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In this simulink model , 16-QAM modulation and demodulation is simulated .A square root raised cosine pulse shaped signal is modulated and given as input to the demodulator.The received signal is demodulated and given to the detector where it is matched filtered and down-sampled .The effects of symbol timing offset can be seen by varying the phase of down-sampling operation.The signal transmitted is recovered at the detector output.

MATLAB信号处理详解,陈亚勇著，丰富的源码(Detailed MATLAB signal processing, Chen Yayong book, a rich source)

arduino interface with rf

NPG power system data

基于MATLAB的电法测井电阻率及电压曲线正演模拟(Simulation of double electric logging resistivity and voltage curve is based on MATLAB)

基于MATLAB_ISIGHT动力总成悬置系统仿真分析与优化(Simulation analysis and optimization of powertrain mounting system based on MATLAB_ISIGHT)

DS的信号调制解调，是基于matlab的的M文件。(DS signal modulation and demodulation, is based on the M-file matlab.)

在ar人脸库上实现Direct Fisher discriminant analysis,该方法首先对类内散布矩阵对角化，然后对类间散布矩阵对角化，使类间散布矩阵对角化的矩阵即使鉴别向量集(In the ar face database to achieve Direct Fisher discriminant analysis, this method first within-class scatter matrix diagonalization, and then between-class scatter matrix diagonalization, so that between-class scatter matrix diagonalization of the matrix even if the identification of a vector set)

一篇基于简化网络模型和网络等值的复杂中压配电网可靠性评估的英文文献，很有实用教学意义！(A network based on the simplified equivalent network model and the complexity of the medium voltage distribution network reliability assessment of English literature, teaching is very practical sense!A method of reliability evaluation for complex medium-voltage distribution system based on simplified network model and network-equivalent)

根据PSO算法原理，在MATLAB中编程实现基于PSO算法的函数极值寻优算法，程序前面给出了PSO算法参数设置，种群初始化，寻找初始极值，迭代寻优，最后通过算法反复迭代300次，画出每代最优个体适应度值变化曲线，最后通过对比发现说明PSO算法具有较强的函数极值寻有能力，谢谢，希望对大家有帮助。 (According to the principle of PSO algorithm in MATLAB programming function PSO algorithm based on extreme value optimization algorithm, the preceding program gives the PSO algorithm parameter settings, population initialization, looking for initial extreme value, iterative optimization, and finally through the iterative algorithm 300 times draw the best individual fitness value of each generation curve, and finally by comparing the findings indicate that PSO algorithm has strong function extreme ability to find, thank you, we want to help.)