Hallen3

说明：  将粒子群算法与免疫结合，计算函数的优化极值。(The particle swarm optimization combined with the immune calculated extremal function optimization.)

说明：  通用的空间矢量脉宽调制 SPACE VECTOR PULSEWIDTH MODULATION (SVPWM)源程序(SVPWM based on C language)

多模型交互跟踪多模型交互跟踪多模型交互跟踪多模型交互跟踪(Multi-track interaction model)

说明：  最坏情况鲁棒自适应波束形成优化。实际应用中,由于阵元位置的细微偏差、阵元之间的幅度相位响应也不可能完全相同、以及有限采样效应等因素,使得实际的方向矢量与其理想值之间存在误差,严重影响了波束的性能。针对这一问题，论文作者在最坏情况下自适应波束形成方法进行研究，并作比较。(Worst case robust adaptive beamforming optimization. In practical applications, the errors between the actual direction vector and its ideal value are caused by the slight deviation of the element position, the impossibility of identical amplitude and phase responses between the elements, and the limited sampling effect, which seriously affects the performance of the beam. In order to solve this problem, the author of this paper studies and compares the adaptive beamforming methods in the worst case.)

说明：  matlab的mapminmax函数（投影映射），在使用libsvm中没有它总是报错~~(The mapminmax matlab function (projection map), in the use of libsvm not it always error ~ ~)

说明：  hyper chaotic transformation

说明：  Matlab从入门到精通中所有的源程序。(Matlab from entry to master all of the source.)

说明：  并网逆变器下垂控制特性仿真，能正常仿真，波形控制输出有振荡，共学习参考使用。(droop control:The network-connected inverter sagging control characteristics simulation, can be normal simulation, waveform control output oscillation, a total learning reference use.)

matlab计算光纤光栅纤芯模有效折射率，利用数值积分法进行求解(matlab computing core fiber grating effective index, is solved using numerical integration)

Synthetic aperture radar imaging provides high resolution images of large areas. The intensities of pixels in a SAR image are based on the spatial orientation, roughness, and dielectric constant of the surface imaged. SAR is an active sensor, transmitting its own energy, and then measuring the return scattered by the earth抯 surface back to the satellite抯 antenna. SAR processing is the transformation of raw SAR signal data into a spatial image. In this communication, we present a contribution concerning implementation of a SAR image formation with the IDL language. This process is performed in a frequency domain correlation of the received signal including range compression, range migration, and azimuth compression. The output is the final step in which the data is transposed back into its original format and written to an output file.