调试过的交通标志检测源码

一本关于matlab遗传算法的书, 相信对大家一定有用的。(this book is very useful for ga of matlab.)

matlab书籍matlab书籍matlab书籍matlab书籍matlab书籍matlab书籍(about how to use matlab)

Cancer detection using CNN

说明：  在瑞利信道中，对于OFDM信号设计一种具体的导引辅助的信道估计方法，用Simulink进行仿真，测量BPSK调制时的误码率性能。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(In Rayleigh channel, a specific guidance aided channel estimation method is designed for OFDM signal, and the simulation is carried out with Simulink to measure the BER performance of BPSK modulation. The relation curve between bit SNR and channel estimation mean square error is drawn, and the relation curve between bit SNR and bit error rate is drawn)

在matlab下实现系统辨识设计，希望对大家有帮助(Matlab achieved in the design of system identification, and they hope to help everyone)

逐行读取GPS观测文件中的信息，实现提取站坐标，L,P观测值等各项观测值，生成一个观测值矩阵。(GPS observation file line by line to read the information, to achieve extraction station coordinate, L, P observations and other observations, to generate a matrix of observations.)

标准压缩感知（CS）理论决定了可靠的信号恢复是可能给M= O（KLOG（N / K））的测量。我们证明了它可以通过利用超越简单的稀疏性和可压缩性由包括价值观和信号系数的位置之间的依赖关系更加逼真信号模型大大降低Mwithout牺牲的鲁棒性。(The standard compressive sensing (CS) theory dictates that robust signal recovery is  possible from  M=O(Klog(N/K))  measurements. We demonstrate that it is possible to substantially  decrease  Mwithout sacrificing robustness by leveraging more  realistic signal models that go beyond simple sparsity and  compressibility by including dependencies between values and  locations of the signal coefficients.   )

经典DS理论源代码和一个基于数据源改进的DS方法，与原DS方法相比，具有更好的处理冲突信息的能力。(Classic DS theory source code and a data source based improved DS method, compared with the original DS method, has better ability to deal with conflict information.)

流形学习，局部线性嵌入式算法(LLE)，一种智能的算法去推测捕捉高维空间中所包含的低维特征。与适合于局部维数约减的聚类算法不同，LLE算法在单一的低维的全域坐标系统中表征采样空间，然而它并没有优化最小局域。通过对线性重构的局域对称的研究应用，LLE能够描述非线性流形的全局结构，例如那些人脸的数据集或者文本文档集(Manifold learning, embedded local linear algorithm (LLE), an intelligent algorithm to predict capture high-dimensional space contained in the low-dimensional features. And for local dimensionality reduction of the different clustering algorithms, LLE algorithm in a single low-dimensional characterization of the global coordinate system, the sampling space, but it does not optimize the local minimum. Reconstructed by the local symmetry of the linear study of the application, LLE can describe the global structure of nonlinear manifolds, such as those who face data sets or text document collection)

SerialPortCommunication.rar，串口通信例程！(SerialPortCommunication.rar, serial communication routines!)