link-budget

内螺旋覆盖搜索的一个算法实现，运行为plotdmap（a,b,c,d）a,b,c,d为数字，a,b为栅格地图的长宽，c为搜索目标的数量，位置自动随机出现杂地图上，d为搜索车辆的数量，位置分布在地图最外围。(Cover a spiral search algorithm, run for the plotdmap (a, b, c, d) a, b, c, d for the number, a, b for the grid map of the length and width, c is the number of search targets, location Auto randomly mixed map, d the number of vehicles for the search, location map of the distribution in the outermost.)

3D Peano space filling curve

Permanent Mangnet Synchronous Motor using sliding model observer.......using SIMULINK

PURPOSE: MCMC estimates Bayesian heteroscedastic AR(k) model imposing stability restrictions using Gibbs sampling y = b0 + y(t-1) b1 + y(t-2) b2 +,...,y(t-k) bk + E, E = N(0,sige*V), sige = gamma(nu,d0), b = N(c,T), V = diag(v1,v2,...vn), r/vi = ID chi(r)/r, r = Gamma(m,k)( PURPOSE: MCMC estimates Bayesian heteroscedastic AR(k) model imposing stability restrictions using Gibbs sampling y = b0+ y(t-1) b1+ y(t-2) b2+,...,y(t-k) bk+ E, E = N(0,sige*V), sige = gamma(nu,d0), b = N(c,T), V = diag(v1,v2,...vn), r/vi = ID chi(r)/r, r = Gamma(m,k))

amplitude comparsion of speech signals

设计并仿真了适合Ka 频段卫星移动信道的信号传输体制仿真结果为最终实现方案提供 了可靠的数据同时针对所设计的Turbo 编码和GMSK 调制相结合的信号传输体制提出了迭 代信道估计算法明显改善了系统的误码率BER 性能(Designed and simulated for Ka-band mobile satellite channel signal transmission system simulation results for the final program provides reliable data also for the design of the Turbo coding and GMSK modulation combined signal transmission system proposed iterative channel estimation algorithm significantly improved the system bit error rate BER performance)

多用户检测 直接序列扩频 码解码部分(multiuser detesion)

几个关于有限元分析的代码，《结构分析的有限元法与matlab编程》-徐荣桥(Several finite element analysis on the code, " Structural Analysis of the finite element method and matlab programming" - Xu Rong Bridge)

SLAM算法程序，来自悉尼大学的作品，主要功能是实现SLAM算法。(SLAM algorithm, works from the University of Sydney, the main function is to achieve the SLAM algorithm.)

(MATLAB) On the companion website, you will find in the directory Chap exercises/chapter3 a workspace ex3M2.mat. In this workspace, you will find waveforms of the words “we” and “be” (at 10000 samples/s) in the array we be 10k. The waveforms and a spectrogram of the waveforms are shownin Figure 3.33. To display the spectrogram andwaveform, use the function specgram ex3p19.m also in Chap exercises/chapter3. To listen to the waveform, use the MATLAB function sound.m.