bondgraph

详细给出了线性规划的matlab的实例，简单易懂，便于学习。(Details are given planning matlab examples, easy to understand, easy to learn.)

By built-in function colfilt, I develop one image enhancing codes based on local statistics in Gonza(built-in function colfilt. I develop one image enhancing codes based on loc al statistics in Gonza)

Video summarization refers to creating a summary of a video. Medical examinations like endoscopy and bronchoscopy lasts more than 20 minutes .The doctor may not have sufficient time to watch the entire video or the whole of video content may not be of interest to the examiner. Sometimes the medical video has to be sent to a specialist who is located at a distant place. In such cases, the doctor may just want to view the summary of the video instead of watching the whole video. Thus , the summary should be such that it should convey as much information about the occurrence of various incidents in the video. Video summarization plays an important role in efficient storage, quick browsing and retri of large collection of video data without losing important aspects. It also reduces transmission bandwidth efficiently when need arises. Efficient summarization of video recordings of bronchoscopic and endoscopic procedures is also highly relevant for the development of medical video libraries.

2发1收alamouti码matlab仿真程序，空时编码，基础编码(2 fat 1 admission alamouti code matlab simulation program, space-time coding, basic coding)

Vibration Simulation Using MATLAB and ANSYS - Michael R Hatch

说明：  ADMM是一个高效的优化算法，可以用在很多领域中，1范数是一种常用的目标函数。(ADMM is an effective, fast optimizing algorithm and can be used in many applications. 1-norm is a commonly used objective function.)

source code in matlab for simulating diffrent noise models

fdtd 在自由空间没有吸收边界的情况下的代码(1D FDTD simulation in free space Without Absorbing Boundary Condition )

说明：  与连续信号的解调相比，短时突发信号持续时间短，不适用性能良好的反馈环路算法，需要使用前向幵环算法。与一般突发信号相比，短时突发信号没有训练序列、同步头等辅助信息，所有参数需要利用有限的数据估计。与合作通信相比，盲接收信号参数的初始偏差较大，估计范围小的算法不适用。每个突发包的数据有限，解调过程不允许丢失任何符号。(Compared with the demodulation of continuous signal, short burst signal has a shorter duration and is not suitable for the feedback loop algorithm with good performance. Forward loop algorithm is needed.)

We consider a complex-valued wavefield reconstruction in an object plane from data in a sensor plane. A digital modeling for the forward propagation is presented in the algebraic matrix form M-DDT. The inverse propagation is formalized as an inverse problem. The main algorithm of the complex-valued wavefield reconstruction with the proposed Matrix Discrete Diffraction Transform (M-DDT) is prepared as a Matlab demo.