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基于matlab编制的newmark结构动力分析(Matlab prepared based on the Newmark Structural Dynamic Analysis)

Script used in the Japanese webinar for image processing and computer vision held on Mar. 01, 2013

Here different algorithms which are suitable for watermarking are implemented and MATLAB results are shown for reference.

本书将通信技术用代码的形式表现出来，读者可以通过代码来加深对理论知识的理解。(This book will use the code shown in the form of communication technology, the reader can through the code to deepen the understanding of theoretical knowledge. )

图像的基于8*8分块的DCT变换编码 MATLAB编程环境 (Images based on 8* 8 block of DCT transform coding MATLAB programming environment)

对录音信号集 中的某一语音，利用BATLAB设计一美尔例谱算法，并实现。 取信号集 中的一个语音信号：“xxxxxx”，将它作为输入的语音信号来为设计一个美尔倒谱算法，在该算法中，主要设计了以下环节： 1.读入一个语音信号；2.对这个信号归一化；3.对归一化的信号进行加窗处理（这里的矩形窗长度必须为257，重帧长64）；4.进行预加重处理，即通过一个高通滤波器： ；5进行512点的FFT；6.分别取模平方得到功率谱；7.在设计的mel滤波器组中，我采用了25个带通滤波器；8.将得到的功率谱信号通过mel滤波器组，得到相应的25个功率值；9.对这些功率值取自然对数；10.对这些值取离散作弦变换；11.将得到的值去掉直流分量，取其它值作为MFCC参数。 (Concentrated on recording a voice signal, using BATLAB designed Mayer cases spectral algorithm, and implementation. Get a voice signal signal focus: "xxxxxx", will it as input for the design of a voice signal to Mel Cepstrum algorithm in the algorithm, the main design of the following links: 1. Read a speech signal 2. On the signal normalized 3. Of the normalized windowed signal processing (here, rectangular window length must be 257, re-frame size 64) 4. For Pre-emphasis processing through a high-pass filter: 5 for 512 points of FFT 6. modulo square were obtained spectrum 7. in the design of mel filter banks, I use a 25 band-pass filter 8 . will be the power spectrum signal by mel filter bank, corresponding to the 25 power values 9. on the power to take the natural logarithm value 10. to take these values as strings of discrete transform 11. will be of value to out DC component, to take other values as MFCC parameters.)

恢复清晰图像的一种方法，达到了比较好的效果。(A way to restore a clear image, reached a relatively good results.)

Image segmentation plays an important role in computer vision and image processing applications. The motivation of this project is Image Segmentation with the presence of Intensity inhomogeneities. Intensity inhomogeneity often occurs in real world images due to spatial variations in illumination and imperfections of imaging devices

六节点规划方法示例，以线路成本为目标，可得到目标迭代过程图示(Example six node planning method, in order to line cost as the goal)

自适应总要抽样算法，基于RTS79的matlab程序(Always adaptive sampling algorithm, based RTS79 matlab program)