pls

Numerical solutions for ODEs

有关卡调用的很好资料，希望对大家有用，一起学习(hand book)

信号与系统软件实验工具箱，本系统包括七个实验，分别是：信号的时域基本运算、连续信号的卷积与连续时间系统的时域分析、离散信号的卷积与离散时间系统的时域分析、信号的频域分析、连续信号的采样与恢复、系统的频域分析、信号的幅度调制与解调。为了加强学生的计算机编程能力和应用能力，所有实验均提供设计性实验内容，让学生参与编程。本系统既可作为教师教学的实验演示，又可作为学生动手实验的实验系统。(Signals and Systems Software experimental toolbox, the system includes seven experiments, namely: basic operations signals in time domain, the convolution of continuous signals and continuous-time system time domain analysis, convolution of discrete signals and discrete-time systems when domain analysis, frequency domain signal analysis, continuous signal sampling and recovery, system frequency domain analysis, signal amplitude modulation and demodulation. In order to strengthen the student s computer programming skills and ability to provide all the experiments were designed experiment content, allowing students to participate in programming. This system can be used as experimental demonstration of teaching, but also as a student hands-on experiments the experimental system.)

数据处理的一种方法，可实现目标轨迹的其实确定，实验结果证明效果很好。(A method of data processing can be realized in fact a target track, experimental results show a good effect.)

说明：  去掉图像的噪音的一个不错的事例。值得大家参考(remove the noise image of a good story. Worthy of our reference)

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.   )

数学建模算法，回归分析，灰色理论，多元分析，支持向量机(Mathematical modeling algorithm)

这是一些文本聚类的matlab函数，是遗传算法过程中的一些常用函数(This is some text clustering matlab function, genetic algorithm is the process of some of the commonly used functions)

信号在多径衰落信道中传输特性的研究 当信号在无线信道传播时，多径发射和衰减的变化将使信号经历随机波动。因此，无线信道的特性是不确定的，随机变化的。(Signal in multipath fading channel transmission characteristics)

区域重力资料解释中的重要任务之一,是计算基底构造及莫霍面的构造(本文统称为基线构造)(Regional gravity data interpretation of the important tasks is to calculate the basement structure and Moho structure (herein collectively referred to as the baseline configuration))