matlab

为了能结合Java和 Matlab两者的优点，构造功能更加强大的科学计算环境，对使用Java语言扩展Matlab 主开发环境 自身功能的关键技术进行了研究。首先介绍了使用 Java扩展 Matlab 的基本方法，在此基础上结合项目实践中对复杂图形用 户接口的需要，提出了一种在 Java 对象中通过 Matlab 接口对象访问当前Matlab会话的方法。给出了两个短小完整实例，可 用于进一步扩展与重用。(To be able to combine both Java and Matlab the advantages of structure more powerful scientific computing environment, the expansion of the use of Java language development environment Matlab master key technologies for its own function were studied. First introduced the use of Java to expand the basic method of Matlab, on the basis of the practice of combining items of complex graphical user interface needs, a Java object in Matlab interface object access through the current method of Matlab conversation. Given two examples of short integrity, can be used to further expand and reuse.)

经典的检测直线的算法,Matlab源码 用Matlab6.5实现(classic line detection algorithms, source code using Matlab achieve Matalab 6.5)

区域生长法，matlab代码，包含3个m文件和两幅图像(Region growing method, matlab code, containing 3 m files and the two images )

三种简单的图像滤波 均值滤波 中值滤波 和winner滤波(image filter)

已知采样频率80000，通带衰减0.5阻带衰减45 通带截止频率4000，阻带截止频率20000，用双线性变换法设计数字低通滤波器 (Known sampling frequency 80000, attenuation in the passband stop-band attenuation 45 0.5 Passband cutoff frequency of 4000, 20,000 stopband cutoff frequency, using bilinear transform design digital low-pass filter)

说明：  短波信道watterson模型的建模仿真，已经编译通过。(The simulation of Watterson model of HF channel has been compiled.)

使用matlab仿真一个ofdm真实环境的步骤介绍，英文介绍很详细 完整源代码，经测试可直接使用。(Matlab simulation ofdm using a real-world steps to introduce the English description is very detailed and complete source code, have been tested can be used directly.)

说明：  对每个对象进行边界提取后标记内部元素,并计算该对象的面积。(The boundary of each object within the elements extracted marker and calculate the area of ??the object.)

在matlab里搭建了一个起重机的仿真模型。模型很好滴仿真了实际系统(Built in the matlab simulation model of a crane.Good drop simulation actual system model)

近似熵是由pincus在1991年提出的一种度量序列的复杂性和统计量化的规则(Approximate entropy pincus proposed in 1991 a measure of the complexity of the sequence and statistical quantization rules)