pls

说明：  基于MATLAB的无人飞行器数学模型的飞行仿真实验程序(MATLAB-based mathematical model of unmanned aircraft flight simulation program)

近红外光谱平滑去噪算法，由于光谱仪得到的光谱信号中既有有用的信息，同时也叠加着随机误差，即噪声，而这种方法能取到很好的去噪作用。(Nir denoising smoothing algorithm, as a result of the spectrometer for spectrum signal in both the useful information, and superposition of the random error, the noise, and this method can get very good denoising effect. )

this program about vblast system in antenna. there are 3 antenna receiver and 4 antenna transmitter. computed the BER and SER

说明：  Airy光束，基模高斯光束 Bessel光束经过大气湍流相位屏的传输特性(Propagation characteristics of Bessel beam passing through atmospheric turbulence phase screen)

　　这包括代码为“扩展”和“减少”程序,对高斯图像金字塔,探讨了作为一个紧凑的拉普拉斯金字塔图像编码”-伯特和Adelson,1983年。 　　 　　重要的应用同样的包括运动估计精度等。(This contains the code for the Expand and Reduce routines for Gaussian image pyramids, as discussed in the Paper- " The Laplacian Pyramid as a Compact Image Code"- Burt and Adelson, 1983. Important applications of the same include motion estimation etc.)

说明：  盲均衡中的应用，CMA+DDLMS（常数模+判决引导最小均方）算法的Matlab程序，用来处理16-QAM信号。(Application of blind equalization, CMA+ DDLMS (Constant Modulus+ Decision-directed least mean square) algorithm of Matlab procedures used to deal with 16-QAM signal.)

说明：  武汉理工大学程磊编写的AR模型的Burg算法的matlab程序，有用(Wuhan Polytechnic University Hai prepared by the AR model Burg algorithm Matlab procedures useful)

基于SFBC-OFDM系统的信道估计源代码，包含各种相关的算法(SFBC- OFDM system channel estimation source code, including a variety of related algorithms )

摘要 该文主要考虑利用图像噪声再生技术来提取图像细节 其思想是利用被滤除的噪声信号进行回收再利用 通过对噪声信号和初步去噪信号进行小波变换 比较它们的小波系数 当噪声信号的小波系数达到一定的阈值时 将噪声信号的小波系数保留叠加至初步去噪信号的小波系数 然后利用传统的软阈值去噪的方法来进行图像的去噪 从而达到既能够去除噪声 又能保留图像细节的目的 实验证明 该方法较传统的方法在去噪和细节保持上有改进(Abstract In this paper, consider using images to extract the noise regeneration of its ideological image detail is the use of the noise signal was filtered to recycle through the noise signal and the initial wavelet transform de-noising signal comparison of their wavelet coefficients of the wavelet signal when the noise coefficient reaches a certain threshold will be the noise signal superimposed to the wavelet coefficients to retain the initial de-noising signal wavelet coefficients and then using the traditional soft-threshold denoising approach to image denoising in order to achieve the removal of noise can not only be able to retain The purpose of image detail that the methods of the experiment a more traditional approach to denoising and detail in there to keep improving)

Filename: target_core_device.c (based on iscsi_target_device.c).