kaoqing

增加了声子晶体周期条件： if (mod(ii,19)<9) u(ii,3)=2*u(ii,2)-u(ii,1)+c*(u(ii+1,2)-2*u(ii,2)+u(ii-1,2)) else u(ii,3)=2*u(ii,2)-u(ii,1)+0.5*c*(u(ii+1,2)-2*u(ii,2)+u(ii-1,2)) end(if (mod(ii,19)<9) u(ii,3)=2*u(ii,2)-u(ii,1)+c*(u(ii+1,2)-2*u(ii,2)+u(ii-1,2)) else u(ii,3)=2*u(ii,2)-u(ii,1)+0.5*c*(u(ii+1,2)-2*u(ii,2)+u(ii-1,2)) end)

HOUGH变换及用于SAR动目标检测的matlab程序！(HOUGH Transform and its implemention in the SAR moving target detection )

LMS algorithm PIL cosimulation for DM642 EVM.

汉诺塔的实现程序，包括简单的实现代码，和动画演示代码(Hanoi' s implementation procedures, including simple implementation code, and animation demo code)

matlab应用于医学数字信号处理的外文参考文献，既有程序也有理论说明。(Digital signal processing (DSP) techniques, like Radon transformation, Projection techniques, Fourier transformation in polar form, Hankel transformation, etc., are used in Medical imaging techniques like Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) during the process of imaging)

matlab codes for segmentation

PAPR OFDM clipping and filtering

In this session, I will focus on the gridding method for fast image reconstruction from non- Cartesian data [1-5]. While gridding is not the only game in town, it is the reconstruction of choice when reconstruction time is an issue. Other reconstruction techniques include rBURS [6] and non-Cartesian iterative methods [7,8]. Non-Cartesian iterative methods generally use gridding and inverse gridding as their core operation, so even when gridding is not the right solution for an application, an understanding of gridding can be useful. I will cover the main steps of the gridding algorithm and then discuss some implementation tips that can signicantly reduce the computation time. Finally, I will present some illustrations and viewpoints that I have found to aid in an intuitive understanding of the gridding method, which can be helpful when designing the density compensation function and judging the appropriateness of gridding as a solution for a particular application.

对文件夹下的EXECL文档进行批量计算，该程序用来计算NeuroSky采集到的raw data脑电数据的小波熵，经过验证得到的结论和别人得到的结论一样(help you to calculate the wavelet entropy, the data is collected from NeuroSky Mindset, it is worth for you to read and understand it.)

本软件主要用于结构的时域试验模态分析，包括单输入单输出，单输入多输出和多输入多输出程序设计。传统的模态分析软件大多是基于频域分析方法，需首先对采样信号进行Fourier 变换。本软件使用实测时域信号，无需Fourier变换，可以避免由于信号截断而引起泄露、出现旁瓣、分辨率低等问题对辨识精度的不利影响。此外，节省了计算机运算时间，可以对实际工况状态下的结构进行在线参数识别。(This software is mainly used for the structure of time-domain experimental modal analysis, including single-input single-output, single-input multiple-output and multiple-input multiple-output programming. Traditional modal analysis software are mostly based on frequency domain analysis, needed first sampled signal Fourier transform. The software uses the measured time-domain signal without the need for Fourier transform, avoid truncated because of the signal caused by leaks, there sidelobes and low resolution of the issue of adverse effects on the identification accuracy. In addition, the savings in computing time, to the actual condition of the structure of the state-line parameter identification.)