MATLAB-Demystified

雷达数据处理及应用，对雷达信号和数据处理感性趣的人有一定帮助。(Radar data processing and application of data processing of radar signals and a sense of sexual interest of the people must help.)

This program take a two sequences with differents lengths and transform in two sequences with same length with use zero padding method.

clustering problem in matlab

根据航母海上运动具有平稳随机过程的特点，利用功率谱模型对其进行建 模，尽可能真实地反映航母的运动状况。分析甲板运动带来的理想着舰点的变化，针对舰载机飞行高度进行模糊控制。按照舰载机自动着舰控制系统的大致结构，从内而外依次对自动飞行控制系统、进场功率补偿系统、甲板运动补偿器进行了研究和设计，在Matlab中对其进行完整建模，并通过仿真加以验证。设计模糊PID控制器，利用模糊控制系统对控制器参数进行在线调整，最后通过Matlab仿真，验证该方法可以有效改进舰载机的着舰品质。(According to the aircraft carrier Marine sport has stable random process characteristics, the use of power spectrum model on the modeling, as a true reflection of carriers movement status. Analysis of the deck movement to bring the ship to point ideal for change, the flying height carrier-borne machine fuzzy control. According to the ship carrier-borne machine automatic control system, the general structure of automatic order from inside and outside the flight control system, approach power compensation system, deck sports compensator was studied and design, the in Matlab simulation modeling and complete verified. Design fuzzy PID controller by using fuzzy control system, the controller parameters for online adjustment, the last through Matlab simulation show that the method can effectively improve the quality of the ship carrier-borne machine. )

speech compression using rabiner algorithm

triivium implementation

Simple to Understand PSO

matlab粗糙集算法，主要使用于神经网络和支持向量机等算法的预处理，可以有效地筛选数据(matlab rough set algorithm, mainly used in the pre-processing of the neural network and support vector machine algorithm can effectively filter the data)

传感器阵列波束优化设计与应用第二章程序 图8,9，10 ，11，13(Sensor array beam optimization design and application of the second chapter procedures figure8 9 10 11 13)

em algorithm - Find approximate solution to Sf = conv(s,f) = d using EM iteration. EM seeks to minimize the Poisson negative log likelihood function J(f) = sum_i {[Sf]_i - (d_i + sigma^2)*log([Sf]_i + sigma^2)}.