matlab信号处理源程序3

Requires matlab coding of target tracking using ACO.the algorithm is provided in the base paper attached

说明：  声波方程正演模拟大模型样例。 包含三个地质层，分别对应速度可以自行修正。 震源函数是雷克子波。 C源程序，输出结果Matlab绘制。(Acoustic wave equation forward modeling big model of the sample. Consists of three geological layers, corresponding to the speed you can correct itself. Lake wavelet source function is. C source code, the output of Matlab draw.)

ofdm in fading channel

精通MATLAB6.5（张志涌，精简版）一书作为刚接触matlab的实用书籍。(the e-book ,master MATLAB 6.5 author zhangzhiyong,is a useful helper for those who just start to learn MATLAB.)

部分实现了追踪测速迭代松弛算法，有循环检测，周期性检测，处理信号的时频分析。( Partially achieved tracking speed iterative relaxation algorithm, There are cycle detection, periodic testing, When processing a signal frequency analysis.)

fuzzy programming for the control system

东南大学模态理论课件，主要是信号的测试，测量以及激振设备等。(Southeast university courseware modal theory, signal testing, measurement and excitation equipment.)

基于matlab&JavaApplet的数字化实验室研究(Based on the the of the laboratory studies of the digitized of the matlab & JavaApplet)

Power system stabilizers (PSS) are now routinely used in the industry to damp out power system oscillations. In this paper, real-coded genetic algorithm (RCGA) optimization technique is applied to design robust power system stabilizer for both singlemachine infinite-bus (SMIB) and multi-machine power system. The design problem of the proposed controller is formulated as an optimization problem and RCGA is employed to search for optimal controller parameters. By minimizing the time-domain based objective function, in which the deviation in the oscillatory rotor speed of the generator is involved stability performance of the system is improved. The non-linear simulation results are presented under wide range of operating conditions disturbances at different locations as well as for various fault clearing sequences to show the effectiveness and robustness of the proposed controller and their ability to provide efficient damping of low frequency oscillations.

there are many code in matlab language about the classification used SVM algorithm