BUCK1

这是bpsk的调制程序代码，它基于matlab环境编写，用于验证调制的效果是否达到设计要求。(qpsk)

example Method relay. Adaptive control

运动目标的检测是视频处理过程中后续跟踪技术的基础,其检测结果的好坏直接关系到能否跟踪到运动目标及跟踪准确度问题。运动目标的检测就是从机器视觉系统获取的序列图像中把前景,运动,目标分割提取出来的过程。本文描述了机器视觉中运动目标检测的主要方法?介绍了其中背景减除法的几种典型算法的原理、特点、背景差分法的基本流程?主要包括四个步骤为,预处理、背景建模、目标检测、后处理。然后在matlab环境下运用背景减除算法完成了视频中运动目标的检测,并对检测结果图像进一步处理.(Moving target detection is a follow up video processing technology based on the test results is directly related to the ability to track moving targets and tracking accuracy. Moving target detection prospects, movement, object segmentation extracted from the sequence of images acquired by the machine vision system. This paper describes the main method of moving target detection machine vision ? introduced the principle of which several typical algorithms for background subtraction method, the basic flow characteristics, background difference method ? mainly includes four steps, preprocessing, background modeling target detection, post-processing. Use background subtraction algorithm in Matlab environment complete video moving target detection, and detection results of images for further processing.)

并行运算与神经网络——基于CPU/GPU的并行神经网络运算(Artificial Neural Networks)

Solving ODEs with Matlab: Instructor’s Manual L.F. Shampine and I. Gladwell Mathematics Department Southern Methodist University Dallas, TX 75275 S. Thompson Department of Mathematics & Statistics Radford University Radford, VA 24142

说明：  对信号做五点三次平均法平滑处理，已编成函数，一种平滑较快，一种较慢。(Three of the signal with an average of five-point smoothing method has been compiled function, a smooth and rapid, a slower.)

说明：  能够精确地提取雷达波的初至时，进行层析成像(Radar can accurately extract the first to when tomography)

设计最小二乘逆滤波器求解反卷积问题,假设有观测噪声,为降低观测噪声的影响，可采用预白化方法,设计长度N=50的最小平方FIR逆滤波器(inverse filter design for least squares deconvolution, the assumption that the measurement noise, To reduce the impact of noise and possible pre-whitening method, the length N = 50 the minimum inverse square FIR filter)

用matlab实现雷达信号的卡尔曼滤波的仿真(Of radar signals using matlab simulation of the Kalman filter)

BASIC SOURCE SEPARATION CODE