active-Contours-2000

书籍 MATLAB控制系统设计与仿真[张德丰][程序源代码].zip(MATLAB Control System Design and Simulation [Zhang Defeng] [source code]. Zip)

卡尔曼滤波程序：此程序是以蛇形机动目标为运动模型进行的卡尔曼滤波。(The MATLAB simulation program based on kalman filter)

贪心算法_隐枚举法（0 - 1 整数规划求解）,matlab代码(Greedy algorithm _ implicit enumeration method ( 0- 1 integer programming solver ) ,matlab code)

codes for matlab imagrs

使用迭代算法对运动目标进行分割，阈值可以自适应调节(Using an iterative algorithm for moving target segmentation threshold can adaptively adjust)

MATLAB中实现中值滤波的算法的M文件。经过验证可以实现滤波效果。(MATLAB implementation of the algorithm for filtering the M documents. Filtering can be achieved proven results.)

for learn matlab software

利用matlab对机器人避障进行仿真研究的一个小程序(Simulation of the robot obstacle avoidance)

复合材料的优化,内容里边有很好的描述以及很多的计算实例,适合进阶学习(Objective of this Matlab s program was researched optimization analysis of laminated composite plates for determined the ultimate strength and stress effects of plate s under the regular and uniform out-loads. Therefore, generally Reissner s flat and thick shell finite element model (4Node-20Dof) was developed with first-order shear deformation theory (FSDT). Kirchhoff s classical laminate plate theory yields in adequate results for thick plates (a/th<20). This classical laminated plate (CLPT or CPT), was one of the first developed by Reissner with shear deformation theory. Afterwards, Mindlin was utulizated this shear deformation theory to accommodate rotary of inertia terms on per unit freedom. If this plate system s be very thick (a/th<10) than it is fail to shear deformation-motion and it s condition of adaptive shear stress on plate s top and bottom surface. While this conditions was produced on plate s segment when requered the shear correction factor of shear locking eff)

功率谱估计是利用有限长的数据估计信号的功率谱，广泛应用于各个领域。功率谱估计主要分为经典谱估计与现代谱估计。常用的经典谱估计方法有周期图法，相关法，周期图的改进法，常用的现代谱估计方法有最大熵谱估计，AR模型，MA模型，ARMA模型。经典谱估计适用于长序列的信号，其主要缺陷是描述功率谱波动的数字特征方差性能差，频率分辨率低，现代谱估计适用于短序列的信号，旨在改善谱估计的分辨率，并将其应用于实际地震资料的谱分析。 (Power spectrum estimation is the use of a finite length data to estimate the power spectrum of the signal, widely used in various fields. Power spectrum estimation is divided into classic and modern spectral estimation spectral estimation. Commonly used methods of classical periodogram spectrum estimation method, the relevant law, the cycle graph Improvement Act, commonly used in modern spectral estimation methods have maximum entropy spectral estimation, AR model, MA model, ARMA model. Classical spectral estimation applied to signal a long sequence, its main drawback is the fluctuation power spectrum describing digital signature variance performance is poor, the frequency resolution is low, modern spectral estimation applied to signal short sequences designed to improve spectral estimation resolution, and The analysis applied to real seismic data spectrum.)