periodic_pipe

GUI方面的经典教材. 这本书讲解详细易懂,是初学MATLAB的图像处理不错的入门教材(This book contains information obtained from authentic and highly regarded sources. Reprinted material is quoted with permission, and sources are indicated. A wide variety of references are listed. Reasonable efforts have been made to publish reliable data and information, but the author and the publisher cannot assume responsibility for the validity of all materials or for the consequences of their use.)

实现对地震数据的一维傅里叶变换 并对数据进行设定工业频率值的情况下滤波 (power frequency filtering)

模拟移动床色谱的计算机模拟，SMB，有限差分法，平衡扩散模型(Simulated Moving Bed Chromatography Computer Simulation, SMB, finite difference method, balanced diffusion model)

matlab编程样式指南。matlab编程指导书籍(Matlab programming style guides. Matlab programming guide books)

用CORDIC算法计算两点距离相当于matlab里的norm函数。经过验证，精度不错(Calculate distance between two points is equivalent to the norm in matlab function with CORDIC algorithm. After verification, the accuracy of a good)

阀控液压马达力控系统模型，实现扭矩控制,液压阀为伺服阀(valve control hydralic motor of T_control)

Compressive sampling is an emerging technique that promises to effectively recover a sparse signal from far fewer measurements than its dimension. The compressive sampling theory assures almost an exact recovery of a sparse signal if the signal is sensed randomly where the number of the measurements taken is proportional to the sparsity level and a log factor of the signal dimension. Encouraged by this emerging technique, this thesis briefly reviews the application of Compressive sampling in speech processing. It comprises the basic study of two necessary condition of compressive sensing theory: sparsity and incoherence. In this thesis, various sparsity domain and sensing matrix for speech signal and different pairs that satisfy incoherence condition has been compiled.

两机五节点的仿真 可能有点错误 嘿嘿潮流分析的计算(Two five-node machine simulation may be a bit wrong hehe trend analysis calculations)

最大功率点跟踪仿真模型，采用扰动观察法效果理想(Maximum Power Point Tracking Simulation Model)

The function of channel estimation is to form an estimate of the amplitude