xindaohuajiashoufashe

一个matlab工具箱，里面有很多关于信号处理的例子。(A matlab toolbox, there are many examples on the signal processing.)

这是跳频的源程序,我的毕业设计做的,希望对大家有帮助和启发(This is the source frequency hopping, I graduated from the design done, and I hope to be helpful and enlightening)

在Matlab配件过滤器测​ ​ 振幅响应资料使用invfreqz。(Fitting Filters to Measured Amplitude Response Data Using invfreqz in Matlab )

说明：  GMSK信号的产生，调制，首先信号通过高斯滤波器，然后进行MSK调制(GMSK signal generation, modulation, the first signal through the Gaussian filter, and then MSK modulation)

This is the file mmasub.m(This function mmasub performs one MMA-iteration, aimed at solving the nonlinear programming problem)

产生高斯白噪声，使用matlab编辑及仿真，均值为零(have a Gaussian white noise, editing and the use of Matlab simulation, mean zero)

阵列信号处理的高分辨率估计，有CDF三角函数曲线/三维曲线图，能量熵的计算，Matlab实现界面友好，结合PCA的尺度不变特征变换(SIFT)算法，调试通过可以使用。( High-resolution array signal processing estimates, There CDF trigonometric curve/3D graphs, Energy entropy calculation, Matlab to achieve user-friendly, Combined with PCA scale invariant feature transform (SIFT) algorithm, Debugging can be used.)

说明：  主成分分析（PCA）的增量实施。 该算法在线更新每个变换系数矩阵新样本，而无需将所有样本保留在内存中。 在某种意义上，该算法在形式上等效于通常的批处理版本给定一个样本，将变换系数设置在末尾过程是相同的。 实时讨论了应用PCA的意义。(Incremental implementation of the principal component analysis (PCA). The algorithm updates the transformation coefficients matrix on-line for each new sample, without the need to keep all the samples in memory. The algorithm is formally equivalent to the usual batch version, in the sense that given a sample set the transformation coefficients at the end of the process are the same. The implications of applying the PCA in real time are discussed with the help of data analysis examples (a sample set is uploaded together with the examples))

This toolbox distributes processes over matlab workers available over the intranet/internet (SPMD or MPMD parallel model). It is very useful for corsely granular parallelization problems and in the precesence of a distributed and heterogeneus computer enviroment. No need for configuration files ! Cross platforms, cross OS and cross MATLAB versions. Workers can be added to the parallel computation even if it has started. No need of a common file system, all comms are using tcpip connections

对图像实现骨架化操作、提取边界、执行图像开运算度、增强图像对比度并提取文本图像中的某些字符对象。(Implementation of the image skeleton operation, extraction of the border, the implementation of open computing degree images to enhance image contrast and to extract the text of some of the characters in the image object。)