vblast1

附录MATLAB 图像处理命令 1．applylut 功能： 在二进制图像中利用lookup 表进行边沿操作。 语法： A = applylut(BW,lut) 举例 lut = makelut( sum(x(:)) == 4 ,2) BW1 = imread( text.tif ) BW2 = applylut(BW1,lut) imshow(BW1) figure, imshow(BW2) 相关命令： makelut 2．bestblk 功 举例(Appendix MATLAB image processing an order. Applylut functions : the binary image using lookup tables for 2500 operations. Grammar : A = applylut (BW, lut) For lut makelut = (sum (x (:)) == 4. 2) = imread BW1 (text.tif) BW2 = applylut (BW1. lut) imshow (BW1) figure, imshow (BW2) related orders : makelut 2. For bestblk Gong)

transiant analysis matlab code

该文档一步步的描述如何将matlab源程序打包成可执行exe文件。(This document describes step by step how to make matlab source packaged into an executable exe file.)

快速浏览时间序列数据。而且可以直接创建时间序列的图示，非常方便快捷。(MAT2FIGURE allows you to review timeseries data contained in a matfile very fast and efficiently. Furthermore, the created figure file can be used to distribute these data. After opening a matfile, mat2figure scans (struct) arrays for vector signals, tries to determine the time signal (if not specified at commandline) and creates a figure with built-in signal browser. Among the features are: - At signal selector, each signal is marked, whether it s an ordinary signal, just has constant values or is monotonically in-/decreasing - Signals can be plotted into existing or new subplots, time axes are linked and subplots can be rearranged in up to 6 columns - snapshots of current plots can be created for switching between different views very fast - figure can be printed to clipboard, eps- or png-file with hidden menubar - timeseries data are stored within the figure-file and can be exported to matfile or to workspace - convenient handling via keyboard shortcuts - signal viewer)

文章关于自适应的卡尔曼的算法在变形数据处理上的应用(Application of the Calman on the adaptive algorithm in data processing of deformation on the)

This is the information about wavelett transform use in matlab

利用小波分解与重构,实现图像滤波和压缩,可灵活选用其他小波,简单易懂,特别适合小波初学者.(using wavelet decomposition and reconstruction, image filtering and compression, the flexibility to choose other wavelet is simple to understand and Wavelet particularly suitable for beginners.)

读取语音信号（用matlab的wavread指令），把语音信号分帧、加窗，进行清浊分割，提取基 频，这一部分较简单，自己编程序做。参考文献自己到图书馆期刊网上查找。 提取语音信号的lpc参数，可调用lpcfit.m 程序（我提供，见附件），将源、目标语音的浊音 段的lpc系数进行DTW规整，调用pathita2.m 程序（我提供，见附件）。将规整得到的lpc系数 转换成lsp参数，调用lpcar2ls.m 程序（我提供，见附件）， 再进行转换映射，调用matlab 的指令newrbe。(read the speech signal (using Matlab wavread Directive), Voice Signal frames, Windowed, Qingzhuo segmentation, extracting fundamental frequency, this part is relatively simple, they programmed to do. References their online journals to the library search. Voice Signal Extraction lpc parameters can be called lpcfit.m (I provide, see Annex), the source, Voiced objective voice of the lpc coefficient DTW structured, Call pathita2.m (I provide, see Annex). Structured to the lpc lsp conversion coefficient parameters, calling lpcar2ls.m (I offer see Annex), the shift mapping, called the directive newrbe Matlab.)

matlab写的数字识别程序，功能基本完成Demo1(matlab write digital identification Demo1)

说明：  案例选题：1/4车辆悬架模型的建模与仿真 软件工具：matlab的simulink 内容简述：建立路面谱，建立1/4车辆悬架模型，运用simulink对1/4悬架进行路面行驶仿真分析。结果讨论。(Case topic: Modeling and Simulation of quarter vehicle suspension model Software tool: simulink of MATLAB Content Description: the road spectrum is established, the quarter vehicle suspension model is established, and the road driving simulation analysis of quarter suspension is carried out by using Simulink. The results were discussed.)