MatLab在工程数学方面的应用,工程数学计算.

matlab使用割平面法求解线性规划问题，包含完整实验报告(matlab using cutting plane method for solving linear programming problems, including complete test report)

多尺度加权的rentinex算法实现图像增强，里面用到了高斯滤波对图像进行滤波，可以去除大部分的噪声，平滑图像效果较突出，3个高斯尺度对图像做滤波后加权在一起得到多尺度信息的图像。(Multiscale weighted rentinex algorithm is used to enhance the image. Gauss filter is used to filter the image, which can remove most of the noise. The smoothing effect of the image is prominent. Three Gaussian scales are filtered and weighted together to get the multi-scale information of the image.)

matlab program for feature extraction

固体谐振腔基模光斑半径,包含两镜腔，三镜腔，四境腔，五境腔，六镜腔！！！！(The design considerations of high average power solid-state lasers including material properties, rod and slab geometries, laser reflectors and optical resonators ete are discussed in detail. )

本程序包采用matlab编写的几种数值计算中经典的解方程组的算法，包括LU分解、Gauss消元法、Jacobi迭代法、以及Guass-Seidel迭代法的源代码。供大家参考。(This package prepared using matlab several numerical solution of equations of classical algorithms, including LU decomposition, Gauss elimination method, Jacobi iteration, and Guass-Seidel iteration method source code. For your reference.)

说明：  用于计算电力系统的节点阻抗或者导纳，还算比较好用。(It can be used to calculate nodal impedance or admittance of power system.)

Jpeg图像压缩算法，包含jpeg编码以及解码程序。 1.JPEG编码可以用一句话概括：添加符号（游程长度、占用位数等）用霍夫曼编码，幅度值用修改的二进制正常编码。 2.包括两个主程序，分别执行JPEG编解码、给出相关参数结果。Jpeg没有对整体系数进行位移，而Jpeg2则在编码前，将整个数据减去128，这样可能可以提高性能。但是对这幅图像而言，Jpeg2性能比

has all operation included in morphology

ofdm snr is designed for signals

1．用Matlab产生正弦波,矩形波,以及白噪声信号，并显示各自时域波形图 2．进行FFT变换，显示各自频谱图，其中采样率，频率、数据长度自选 3．做出上述三种信号的均方根图谱,功率图谱,以及对数均方根图谱 4．用IFFT傅立叶反变换恢复信号，并显示恢复的正弦信号时域波形图(1. Produce sine wave, square wave, and the white noise signal with Matlab, and their time-domain waveform display 2. FFT transform, display each spectrum, where the sampling rate, frequency, length optional data 3. RMS to make maps of the three signals, power spectrum, as well as the number of RMS map 4. Restored by inverse Fourier transform IFFT signal and displays the time domain waveforms sinusoidal signal recovery)