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计算lyapunov指数理论方面的书，如小数据量和 Kantz 法计算最大 Lyapunov 指数(Lyapunov index calculated theoretical aspects of the book, such as a small amount of data and Kantz method to calculate the largest Lyapunov exponent)

数字信号处理离散系统响应的MATLAB程序，对学习系统响应有帮助(some matlab codes for study system respond in diginal signal processing.)

模式识别课小作业 聚类cmeans matlab实现(Pattern Recognition class clustering cmeans matlab achieve smaller jobs)

SIMULINK仿真模块 EKF算法扩展卡尔曼滤波 有仿真模块有对应s函数模块算法(simulink extended kalman filter)

说明：  5. 在三条径的瑞利信道中，对于直接序列扩频： (1) 请设计DS-CDMA一种具体的码分导引辅助的信道估计方法，接收机分别采用等均益合并、最大比合并。用Simulink进行仿真，测量BPSK的误码率性能，画出比特信噪比与信道估计均方误差的关系曲线，画出比特信噪比与误码率的关系曲线，请解释在误码率为0.01时，两种合并方式所表现的不同的物理意义。 (2) 设频率已经同步，请设计DS-CDMA一种具体的单停顿滑动相关时间同步方法，用Simulink进行仿真(自己编写代码S-Function方式)，分析所设计方案的时间同步精度，画出比特信噪比与捕获概率的关系曲线。 (3) 设时间已经同步，请设计DS-CDMA一种具体的频率同步方法，用Simulink进行仿真(自己编写代码S-Function方式)，画出比特信噪比与频率同步误差的关系曲线。 (5 In the three path Rayleigh channel, for direct sequence spread spectrum: (1) Please design a specific DS-CDMA code division guide-assisted channel estimation, receiver, etc were used to benefit the merger, the maximum ratio combining. With the Simulink simulation, BPSK BER performance measure, draw-bit signal to noise ratio and channel estimation mean square error of the curve, draw the signal to noise ratio and bit error rate curve, please explain in bit error rate 0.01, the two methods are combined performance of the different physical meaning. (2) frequency has been set up synchronization, a specific design of DS-CDMA single-stop sliding correlation method of time synchronization, simulation with Simulink (S-Function code their own way), analyze the design of time synchronization accuracy, draw bit signal to noise ratio and capture probability curve. (3) set time has been synchronized, a specific design of DS-CDMA frequency synchronization method, simulation using Simulink ()

Code for Guitar Tuner using strobers

求一维序列x(n)的离散Fourier谱分析，s(0:m)离散功率谱，c(0:m)振幅谱，cta(0:m)位相谱，其中m=[n/2.]。(Discrete Fourier spectrum of one-dimensional series)

应用MATLAB公式模型，可以通过改变MATLAB中的公式内容进行不同类型的运算(MATLAB model)

对matlab初学者很有帮助，尤其是simulink的爱好者。(helpful to beginners Matlab, Simulink is particularly fond.)

The paper deals with the fuzzy control of a wastewater treatment process in which the organic substances are removed. The process is treated as a multivariable process having as control inputs the dilution rate, the aeration rate and the recycling rate and as output variables the dissolved oxygen and the substrate concentrations in the effluent. The process sensitivities with respect to the control inputs in the case of indirect control through the control of dissolved oxygen concentration and of the direct control of substrate were studied. In all cases fuzzy controllers were used. It was also shown that fuzzy control provides good results in the presence of disturbances and parametric uncertainties of the model.