EZW128

SER（序贯回归算法）和LMS（最小均方算法）的matlab仿真及对比(SER (Sequential regression algorithm) and the LMS (least mean square) of matlab simulation and comparison)

数字滤波器设计程序，对各种滤波器设计，参数，原理进行了纤细说明(Digital filter design program, a variety of filter design parameters were slim that the principle)

几个关于混沌的matlab程序例子，直接可用，带详细注释，欢迎交流。(Several   chaos matlab examples, directly available, with detailed comments, welcome to communicate.)

Yaakov Bar-Shalom, X.-Rong Li,Thiagalingam Kirubarajan - Estimation with Applications to Tracking and Navigation - DynaEst toolbox (Yaakov Bar-Shalom, X.-Rong Li,Thiagalingam Kirubarajan- Estimation with Applications to Tracking and Navigation- DynaEst toolbox )

说明：  不同导频长度(6,10,20)情况下的信道估计程序，(Different pilot length (6,10,20) in case of channel estimation procedures)

MATLAB求解无穷区间定积分问题 MATLAB solving infinite interval definite integral problem(MATLAB solving infinite interval definite integral problem)

用于对均匀线阵（ULA）的远场入射信号进行DOA估计的程序，前提是入射信号源互不相关(Program for ULA (ULA) far-field incident signal DOA estimation, the premise is unrelated incident signal source)

photogerametry project systematic errors

CAPM代码，资本资产定价模型在Matlab中的实际应用。(Capital Asset Pricing Model with Missing Data)

在基于前景检测的基于移动物体检测和车辆跟踪算法的实现中，针对广泛的应用来实现读取AVI文件，并将其分解为R，G和B组件。 执行各种操作并检测移动物体。 各个阶段的阈值决定了识别某些尺寸的移动物体的可能性。 移动物体也在其中跟踪。 MATLAB用于实现算法。 该算法用包含120帧的输入avi格式视频文件进行测试。 研究并实现了这些算法的各种应用。(In this foreground detection based moving object detection and vehicle tracking algorithm is implemented targeting a wide class of applications. An AVI file is read and it is decomposed into R, G and B components. Various operations are carried out and the moving objects are detected. Thresholds at various phases are decide the possibility of identifying the moving object of certain sizes. Moving objects also tracked in it. MATLAB is used for implementation of the algorithm. The algorithm is tested with input avi format video files consisting of 120 frames. Various applications of these algorithms are studied and implemented. Main focus is given on (unmanned aerial vehicle) UAV based and automatic traffic estimation applications)