Applicationofmatlab

In this simulink model , baseband binary detection is simulated .A rectangular pulse shaped signal is given as input to the detector.The received signal is matched filtered and down-sampled .The effects of symbol timing offset can be seen by varying the phase of down-sampling operation.The binary signal transmitted is recovered at the detector output.

有借鉴意义哦，数据模型归一化，模态振动，最小二乘回归分析算法。( There are reference Oh, Normalized data model, modal vibration, Least-squares regression analysis algorithm.)

说明：  在求解装备的资源约束型装配线一类平衡问题时，借助遗传算法，并对遗传算法进行改进，利用matlab程序进行优化求解。(The type 1 assembling line balancing problem for certain equipment is sovled with modified genetic algorithm by using matlab languge.)

Retinex算法是最实用的图像处理方法以突出边界，提高对比为目的。这是最简洁的retinex实现。(Retinex provides the closest to eye perception algorithm to process the images.)

本科毕设要求参见标准测试模型，非归零型差分相位调制信号建模与仿真分析 ，用谱方法计算流体力学一些流动现象的整体稳定性。( Undergraduate complete set requirements refer to the standard test models, NRZ type differential phase modulation signal modeling and simulation analysis, Spectral methods of computational fluid dynamics flow of some of the overall stability of the pheno)

Bandpass filter program.

Latent SVM code voc-release 5

一个相当不错的matlab_GUI界面用于绘制复杂图形(Matlab_GUI a fairly good interface for rendering complex graphics)

matlab7.0应用编程，中文资料，每章一个文件(Application Programming matlab7.0, English information, each devoted to a file)

GSCALE Scales the intensity of the input image. G = GSCALE(F, full8 ) scales the intensities of F to the full 8-bit intensity range [0, 255]. This is the default if there is only one input argument. G = GSCALE(F, full16 ) scales the intensities of F to the full 16-bit intensity range [0, 65535]. G = GSCALE(F, minmax , LOW, HIGH) scales the intensities of F to the range [LOW, HIGH]. These values must be provided, and they must be in the range [0, 1], independently of the class of the input. GSCALE performs any necessary scaling. If the input is of class double, and its values are not in the range [0, 1], then GSCALE scales it to this range before processing. The class of the output is the same as the class of the input. Copyright 2002-2004 R. C. Gonzalez, R. E. Woods, & S. L. Eddins Digital Image Processing Using MATLAB, Prentice-Hall, 2004 $Revision: 1.5 $ $Date: 2003/11/21 14:36:09 $