processing

《精通matlab》 联合开发网 - pudn.com

matlab使用的N个实用技巧及其程序实现。(N-use practical skills and procedures matlab implementation.)

This code can crosscorrelate seismic data togther.

ofdm simulink scramble b_ifft convo_process dec_to_bi interleaving(ofdm Simulink scramble b_ifft convo_proc ess dec_to_bi interleaving)

matlab中，循环语句的教学以及应用。包含部分个人总结和感悟(the cycling sentence using in matlab. including some personal feelings)

Matlab进行再入式飞行器轨道建模与仿真，建立各种模型，最后获得飞行器的动力学模型，并调用龙格库塔函数求解该微分方程初值问题。(Matlab for reentry spacecraft orbit modeling and simulation, the establishment of various models, and finally obtain the dynamic model of the aircraft, and call the Runge-Kutta function of the initial value problem solving differential equations.)

说明：  MATLAB仿真程序，用于数字下变频，并附有代码(For digital down conversion)

用MATLAB程序，实现了在空域下，对图片的亮度值写入秘密信息的程序，很有参考价值(With the MATLAB program, implemented in the airspace, the brightness value of the picture written procedures for confidential information)

说明：  ：DBSCAN是一个基于密度的聚类算法。该算法将具有足够高密度的区域划分为簇，并可以在带有“噪声”的空间数 据库中发现任意形状的聚类。但DtLqCAN算法没有考虑非空间属性，且DBSCAN算法需扫描空间数据库中每个点的e一 邻域来寻找聚类，这使得DBSCAN算法的应用受到了一定的局限。文中提出了一种基于DBSCAN的算法，可以处理非空 间属性，同时又可以加快聚类的速度。(: DBSCAN is a density-based clustering algorithm. The algorithm has a sufficiently high density area is divided into clusters, and to be with the &quot noise&quot found in the spatial database clusters of arbitrary shape. But DtLqCAN algorithm did not consider non-spatial attributes, and spatial database DBSCAN algorithm to be scanned for each point e in the neighborhood to find a cluster, DBSCAN algorithm which makes the application subject to certain limitations. In this paper, an algorithm based on DBSCAN can handle the non-spatial attributes, can also speed up the clustering speed.)

说明：  在单径瑞利信道中，请设计一种时分的导引辅助的信道估计方法，用Simulink进行仿真，测量BPSK的误码率性能，画出比特信噪比与误码率的关系曲线( in a single path Rayleigh channel, please design a secondary peak guide channel estimation method, the Simulink simulation, BPSK BER performance measurement, signal to noise ratio and bit error rate to draw the relationship between curve)