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This function produces an image of a 3D object defined by matrix a(l,m,n) in terms of voxels the image is a view after rotating the object by angles alfa and beta (in degree) b is the image and d is its ditance to the viewer matrix The first figure depicts the object using only its gray level values The second image depicts the object using some lighting effect rotate3d may be used for reorientation but the obtained image is planner

graphic processing unit kit for matlab

基于matlab的UWB仿真，多种调制方式，多种多制方式。有原理图。(Matlab simulation of UWB-based, multi-modulation mode, a variety of multi-format. There are schematics.)

ICE中文文档，翻译的不错，ice 是个好东西啊(ICE Chinese documents, the translation of good, ice is a good thing ah)

schema de regulation en boucle ouverte d une machine asynchrone alimentee en tension.Induction motor Open Loop

这是我做的第一个gui,实现的功能是画各种函数图形，给各位初学gui的参考下。(my frist gui)

通过设计一个二阶加权系数自适应横向FIR滤波器，对一个加随机噪声的正弦信号实现滤波。 具体设计方案为： 1，生成标准正弦信号S 2，生成等长的随机信号N 3，生成加随机噪声的正弦信号X 4，X通过参数可调数字滤波器，输出Y 5，Y与参考信号作差得到误差E 6，E通过自适应算法调整权值W 7，用LMS算法处理噪声干扰的信号，最终实现滤波器功能(A two order weighted coefficient adaptive transverse FIR filter is designed to filter a sinusoidal signal with random noise. The specific design scheme is as follows: 1, generating a standard sinusoidal signal S 2, generating an equal length random signal N 3, generating a sinusoidal signal X with random noise 4, X can adjust the digital filter by parameter and output Y 5, the difference between the Y and the reference signal is E 6, E adjusts the weight W through the adaptive algorithm 7, the LMS algorithm is used to deal with the noise interference signal, and the filter function is finally realized.)

一本很有用的书，数字信号处理及其Matlab实现(A very useful book, digital signal processing and Matlab implementation)

说明：  ofdm仿真程序，包括发射机和接收机两个部分，信道估计，(ofdm simulation program, including the two parts of the transmitter and receiver, channel estimation,)

产生服从Gamma分布的噪声可真难啊，呵呵... 产生服从Gamma分布的噪声可真难啊，这个函数费了我好久的力，才理解并实现。写在这里吧。 (Gamma distribution subject to the noise generated can be sad to say ah, huh, huh ... obey the Gamma distribution of the noise generated may be sad to say ah, this function took a long time the power I only understand and implement. Write it here.)