chaper8

Speech recognition matlab code

说明：  二进制转换为double型 在matlab2008a上运行无误 可以直接被其他程序调用(Binary is converted to double type in the correct matlab2008a run other programs can be directly invoked)

当要隐藏信息时,在MATLAB的命令窗内输入命令: hide = myhide(carry,signal,x,y)； carry 用你的原始载体文件名代替，signal 用你所要隐藏的文件名代替 carry 和 signal 都必须是 *.* 的形式（注意不能省略单引号） x,y 是选取隐藏信息的位置坐标，在（x,y）和（y,x）处 生成的伪装载体文件名为hide.bmp 注意myhide.m文件，载体文件，隐藏文件都要在当前目录(current Directory)下 当要提取信息时，在MATLAB命令窗内输入命令： behidden = myinhide(carry,x,y)； carry 用你的伪装载体文件名代替,格式为 *.* （注意不要丢掉单引号） x,y 是选取隐藏信息的位置坐标，在（x,y）和（y,x）处，这必须和嵌入时所选位置一致。 提取出的信息文件名为behidden.bmp 同样，要注意behidden.m和伪装载体文件都要在当前目录(current Directory)下(when to hide information, in order MATLAB within a window orders : hide = myhide (carry, signal, x, y); Carry with you the original document name instead vector, signal used to hide your name in the paper and instead carry signal must be in the form of*.* ( not to single quotes omitted) x, y is to select the location of hidden information coordinates (x, y) and (y, x) The formation of camouflage vector document, entitled hide.bmp attention myhide.m documents, vector documents hidden all the documents in the current directory (current Directory) to retrieve information when, in order window MATLAB import order : behidden = myinhide (carry, x, y); carry using your camouflage vector file name instead, the format for*.* (take care not to lose a single quote) x, y election Hiding information )

单极性归零码的源程序，适合MATLAB仿真使用，程序完整，希望能帮到大家(Unipolar NRZ source, suitable for simulation using MATLAB, program integrity, and hope to help you)

适用于一维EWT的变换文件，所有文件齐全，有测试文件，以及参数解释和帮助word文档，亲测可用。(For one-dimensional EWT transformation files, all the files are complete, there are test files, as well as parameter interpretation and help word documents, pro-test available.)

用于粒子滤波的，讲解详细！初学者可以很容易地看懂！(For the particle filter, and explain in detail! Beginners can easily understand!)

对图像进行压缩编码的matlab程序,包括霍夫曼编码、算数编码、行程编码等方法。(Matlab codes for picture processing, including Huffman coding, run-length coding and arithmetic coding.)

Orthogonal frequency division multiplexing (OFDM) is becoming the chosen modulation technique for wireless communications. OFDM can provide large data rates with sufficient robustness to radio channel impairments. Many research centers in the world have specialized teams working in the optimization of OFDM for countless applications. Here, at the Georgia Institute of Technology, one of such teams is in Dr. M. A. Ingram’s Smart Antenna Research Laboratory (SARL), a part of the Georgia Center for Advanced Telecommunications Technology (GCATT). The purpose of this report is to provide Matlab code to simulate the basic processing involved in the generation and reception of an OFDM signal in a physical channel and to provide a description of each of the steps involved. For this purpose, we shall use, as an example, one of the proposed OFDM signals of the Digital Video Broadcasting (DVB) standard for the European terrestrial digital television (DTV) service.

说明：  由于统计类CFAR，os和检测概率虚警的计算(OS-CFAR,Pfa and pd)

说明：  用刚度文件FEM，对模型进行不同单元的损伤识别，同时得到损伤程度(The stiffness file FEM is used to identify the damage of different elements of the model, and the damage degree is obtained at the same time.)