B-M

说明：  包括二分法，Newton下山法和improved Newton迭代法(Including the dichotomy, Newton downhill method and improved Newton iteration method)

这是对广义高斯分布中两个参数alpha,beta的估计方法，对自然图像的大量统计特征就符合这一分布。(function [f, g] = dggbeta(beta, absx) DGGBETA Derivative of generalized Gaussian pdf with respective to beta [F, G] = DGGBETA(BETA, ABSX) Return partial derivative and second order partial derivative This is an utility function for GGMLE ABSX is the distance of the data from the mean Function is undefined for negative beta if beta <= 0 f = NaN g = NaN )

遗传算法交叉操作的改进——系统工程与电子技术.pdf(genetic algorithms to improve the operation of cross--- Engineering and electronic technology. Pdf)

matlab/simulinkSfunctionC文件例子源码matlab/simulinkSfunctionC文件例子源码dfdfwere(dsfsds)

this is the qr code gen code

采用自适应信号处理技术的低成本回波抵消器(Adaptive signal processing techniques echo canceler cost)

某石油公司计划建造一条由东向西的主输油管道。该管道要穿过一个有n 口油井的油田。从每口油井都要有一条输油管道沿最短路经(或南或北)与主管道相连。如果给定n 口油井的位置,即它们的x 坐标（东西向）和y 坐标（南北向）,应如何确定主管道的最优位置, 即使各油井到主管道之间的输油管道长度总和最小的位置?证明可在线性时间内确定主管道的最优位置。(An oil company plans to construct a east to west from the main pipeline. The pipeline to pass through an oil field n wells. Wells from each must have a pipeline along the shortest path (or South or North) connected with the competent Road. If given the location of oil wells in n, that is, their x coordinates (east-west) and y coordinates (north-south), should be how to determine the optimal position in charge of Road, even if the wells to the pipeline in charge of Road between the sum of the smallest length location? proved to be linear time to determine the optimal position in charge of Road.)

intel的ipp性能库sample code，提供了加速的静态图象处理示例，充分显示了ipp在多核平台下的性能优势(intel performance of ipp library sample code, provided the acceleration of static image processing example, it shows that in multi-core platform ipp performance advantages)

实现雷达点目标在距离向和方位向的压缩处理(Radar point target in the distance and direction to the compression to)

自适应信号处理中LMS算法和RLS算法的比较仿真(Adaptive signal processing in the LMS algorithm and RLS Algorithms Simulation)