JPDA

matlab源程序，实现了自适应滤波器中LMS自适应算法。(matlab source code to achieve the adaptive filter in the LMS adaptive algorithm.)

This code is example of image adjustment.

说明：  软件管理课程的前三章介绍，主要讲了一些模型，并进行分析(ruanjianguanglikechengdeqiansanzhangjieshao,zhuyaojiangleyixiemoxing,bingjinxingfenxi)

国外专家做的求解LMI鲁棒控制的工具箱,可以相对高效的解决LMI问题(foreign tool box of matlab,good method to solve problem of robust LMI)

说明：  利用Matlab软件平台对JTC进行了图像识别仿真实验，得到了二维及三维相关输出图像，显示出尖锐的相关峰。仿真实验表明：联合变换进行图像识别中存在强烈的零级干扰，干扰信号是有用信号的7.14倍，输出结果不理想；采用功率谱相减法可以消除零级强干扰，进而提高了图像的识别能力。(Simulations of joint transform correlator (JTC) using Matlab is implemented, and the 2-D and 3-D drawings of the correlation image are obtained. In the simulation experiments, the sharper correlation peaks are showed. The result shows that strong disturbance of zero rank exists in the simulation of JTC, and it is 7.14 times stronger than the useful signal thus, the power spectrum subtraction is used to eliminate the strong disturbance, and the capacity of image recognition is improved.)

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.)

这是一些关于旋转机械的频率追踪的参考资料，希望对大家有所帮助。(This is some of the rotating machinery frequency tracking reference, and they hope to help everyone.)

This is the generation code for direct spread spectrum using pseudo-random noises. it shows how to generate it and also is implemented bit error ratio and the checking of autocorrelation.

煤焦在氧气氮气气氛下燃烧时内扩散因子的运算(Char under an atmosphere of nitrogen diffusion of oxygen within the combustion operation Factor)

频域分解法在MATLAB中的应用，模态参数识别，先滤波，再FDD(frequency domain decomposition)