my_sparse

用matlab对RS 码实现从ＧＦ域到数域,matlab产生的RS码是在GF域里面，对其进行译码会用到转到数域(realize galois field to number field for RS code)

all types of FIR filters.. focused mainly on window method

Constrained optimization has been explained with matlab 2007a. This has been explained with various benchmark functions. The main program can be directly applied to knapsack problem and portfolio optimization problem directly. These programs have been written in a menu driven manner.

说明：  球面天文学（岁差、章动）和天体力学（行星星历表）的原始计算公式、算法和程序。matlab编译通过。主要包括：公历/儒略历转换为儒略日，儒略日转换为公历/儒略历，球坐标转换为直角坐标，直角坐标转换为球坐标等38个matlab源代码。压缩文件中有说明。(Spherical Astronomy (precession, nutation) and celestial mechanics (line stars ephemeris) of the original formula, algorithms and procedures. matlab compiler through. Mainly include: Gregorian/Julian calendar converted to Julian day, Julian date is converted to the Gregorian calendar/Julian calendar, the ball coordinates converted to rectangular coordinates, rectangular coordinates is converted to spherical coordinates, such as 38 matlab source code. Compressed file is described.)

EMD/HHT是一种处理非线性非稳态信号的经典算法，自98年提出以来已经获得广泛的使用，作者huang曾经因次获得NASA的最高奖。(EMD/HHT is a deal with the nonlinear non-stationary signals classical algorithm, since 98 has been raised since the widespread use huang had dimensionless author was NASA's highest award.)

关于线性打靶法的GUI文件,函数方程用shootingfun.m文件(linear shooting method on the GUI, function equation shootingfun.m documents)

考虑不平衡磁拉力作用下，转子的轴心轨迹变化求解方法。(unbalanced magnetic pull )

用MATLAB实现卡尔曼滤波，达到对动目标的实时跟踪，程序调试无误，完美运行。(Kalman filter using MATLAB to achieve real-time tracking for moving target, program debugging and correct, perfect run.)

说明：  交通视频采集后的图像预处理。由于硬件及环境等因素的影响，摄像头提取的图像不可避免地包含噪声，图像的质量会受到不同程度的失真。因此，我们要对采集到的视频序列进行图像的预处理。 车辆检测算法。概括性的分析了基于图像处理的几种常用的车辆检测算法：帧差法、光流法，总结了各种方法的优缺点，并采用背景差法对车流量进行检测。该算法自适应能力强，计算量小，可正确判断有无车辆、完成车辆计数，实现车流量计算，为交通监管系统提供实时有效的交通参数。 车辆计数。分析常用的车辆计数方法：虚拟线圈法和目标跟踪法。并结合具体的实际应用采用基于检测带的车辆计数方式。结果表明，该方法能很好的进行车流量统计。 (Image pre-processing traffic after video capture. Due to hardware and environmental factors, the camera inevitably contain the extracted image noise, image quality will be subject to different degrees of distortion. Therefore, we want to capture the video sequence image preprocessing. Vehicle detection algorithm. General analysis of several common vehicle detection algorithm based on image processing: frame difference, optical flow, summed up the advantages and disadvantages of each method, and using background subtraction to detect traffic flow. The algorithm is adaptive ability, a small amount of calculation can correctly determine whether the vehicle, the vehicle should count to achieve traffic flow calculation provides effective real-time traffic parameters for a traffic monitoring system. Vehicle counting. Analysis of common vehicle counting methods: virtual coil method and target tracking method. Combined with concrete and practical applications based on vehicle detection with )

Deasonalize the data adn agian seasonalize it.