有效集

This is part of DTC-ST strukture work in matlab simulink

本设计主要对4PSK调制方式的信号，利用MATLAB的m文件进行最佳接收机的设计与仿真。对输入的叠加噪声的4PSK调制信号进行接收，利用相关解调器来实现信号解调，及最大似然准则来实现检测器。在相关解调器中，接收信号分别与基函数 和 相乘再积分。在检测器中，利用相位来判断输出，从而最终得到接收的数据。采用随机二进制数通过4PSK调制后叠加高斯白噪声再对设计的接收机进行测试，从测试的结果可看出，在信噪比大于-8dB时，误码率为0，说明该接收机较好的实现了抗噪声性能。(The design of the main 4PSK modulation mode of the signal, the use of MATLAB m file for the best receiver design and simulation. The 4PSK modulated signal of the input superimposed noise is received, and the demodulator is realized by the relevant demodulator, and the maximum likelihood criterion is used to realize the detector. In the associated demodulator, the received signal is multiplied by the basis function and multiplied by the basis function. In the detector, the output is judged by the phase, and finally the received data is obtained. Using the random binary number through 4PSK modulation after the superposition of white noise and then the design of the receiver to test the test results can be seen in the signal to noise ratio greater than-8dB, the bit error rate is 0, indicating that the receiver is better The realization of the anti-noise performance.)

zemax与matlab调用程序，当您用matlab分析复杂数据时，可以利用zemax光路计算工具提供原始数据，由matlab分析，并且可以驱动zemax优化，对自由曲面的优化更为重要，此代码为matlab调用zemax的函数库。(ZEMAX and Matlab : A Powerful Pair ZEMAX features a built-in DDE (Dynamic Data Exchange) server that allows other Windows® applications access to ZEMAX functions. Programming DDE applications can be somewhat complex if you are working in a compiled language such as C++. An alternative is to use one of the scripting languages such as Tcl, Python or Matlab. Matlab is a great choice since it is much more than a scripting language. Matlab provides a wealth of functions for processing and visualizing scientific and engineering data and there are toolboxes for Matlab that extend the basic capabilities into a wide variety of more specialized areas and disciplines. )

matlab遗传算法工具箱源代码，不是matlab本身自带的工具箱，是英国某大学发布的遗传算法工具箱(matlab genetic algorithm toolbox source code)

fuzzy preference rough set based feature evaluation and selection

基于粒子群算法的无线传感器网络优化 Optimization of wsn using PSO

用matlab进行视频读取的程序，并附有c语言程序，很有价值。(Using matlab to read the procedures for video, together with c language program, very valuable.)

read data function for project colour base image retrieval

partial differential equation 3 matlab

说明：  EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精度。 (EKF only uses non-linear function of the first-order Taylor expansion of some partial derivatives (ignoring higher order terms), often leading to the posterior distribution of the state estimates to generate large errors affect the performance of filtering algorithms, which affect the whole tracking system performance. Recently, the field of adaptive filtering algorithms and the emergence of new- and tasteless transform Kalman filter (Unscented Kalman Filter-UKF). EKF UKF filter is different from the idea that it points through the design of a small amount of σ by σ point spread through the nonlinear function to calculate the random vector first and second order statistical properties of the transmission. Therefore it is better than the EKF filter nonlinear characteristics equation of state approach, which is more than the EKF filter estimation accuracy.)