made-LFM

fei chang you yong de cheng xu(you yong de WM xu)

sc-fdma 系统物力资源块的分配，利用对于每个用户选取其最大的信道增益，对照组随机选取信道进行传输.(material dispensing system resource blocks sc-fdma, selected by the user for each use of the maximum channel gain, the control group randomly selected transmission channel.)

贝叶斯的分类 并用到高斯混合模型当中有很好的分类效果(bayes )

利用GNSS 进行高精度导航定位的前提是正确固定载波相位观测值的整周模糊度。由Galileo 系统的4 个载波观测值可以 形成诸多有良好特性的组合观测值,利用这些组合观测值,结合MCAR 方法,可以有效地确定整周模糊度。(The use of high-precision GNSS navigation and positioning the premise is correct carrier phase observations fixed integer ambiguity. May consist of four carriers observations Galileo system There are many good characteristics to form a combination of observations using a combination of these observations, combined with MCAR method can effectively determine the integer ambiguity.)

Algorithm that solves the Multiple Travelling Salesman Problem (MTPSo) The salesman do not return to their starting location in this algorithm.

silabs公司的si1010芯片的接收电平指示，即RSSI(silabs company si1010 chip reception level indication,)

门限自回归模型,利用MATLAB求解门限自回归模型,利用MATLAB求解(menxian zi huigui moxing)

最优化算法，包括各种线性优化和非线性优化问题(Optimization algorithms, including linear optimization and nonlinear optimization problems)

说明：  自制的快速傅立叶变换函数，可以用来对比工具自带的fft函数，比较其执行时间随Ｎ值变化的情况(privately fast Fourier transform function can be used to contrast the instruments onboard fft function, compared with the time of its implementation N changes in the value of)

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.)