genetic

图像融合程序，matlab版 可以直接运行的(Image fusion process, matlab version can run directly)

we present a practical link adaptation algorithm for MIMO-OFDM systems. The proposed solution is based on sounding the channel periodically and choosing the optimal mode that will maximize the throughput or energy efficiency (EE) while satisfying the application’s quality of service (QoS) requirements. In addition, we address practical problems such as the computational complexity of the algorithm and determination of sounding period by novel closed form solutions and iterative algorithms. Realistic link level simulations confirm that the proposed solution achieves significant improvement over existing link adaptation algorithms when the aim is to maximize the throughput, and provides orders of magnitude gain in energy efficiency compared to poorly chosen fixed modes when used for energy efficiency maximization purposes. The resulting algorithms are implemented on a real time MIMOOFDM testbed, and we report on the experimental results.

Contrast Limited AHE (CLAHE) differs from ordinary adaptive histogram equalization in its contrast limiting. This feature can also be applied to global histogram equalization, giving rise to contrast limited histogram equalization (CLHE). In the case of CLAHE, the contrast limiting procedure has to be applied for each neighbourhood from which a transformation function is derived.

PSO particle sowarm optimisatin

求时间序列的功率谱，包括周期图法和自相关函数法(Find the power spectrum of the time series, including periodogram and autocorrelation function method)

小波滤波的构造实现，以及阈值的设定，小波重构与分解。在各种滤波参考运用，程序放在word中的(Wavelet filter construction and de-noising process)

PHD 滤波是近年来发展最为迅速的目标跟踪方法。GM-PHD是一种运算量较小的PHD实现。程序经本人验证，效果非常好。(PHD is a popular target tracking method in recent years. GM-PHD is a most common application for target tracking. The program is efficient and useful.)

LMS 算法的MATLAB实现 (LMS)

这是2dof（pi-逆前馈加pid反馈），单纯pid反馈，单纯pi模型逆前馈对应的仿真结果。 其中系统模型采用前面根据pi模型与n4sid算法结合得到的综合模型。(This is 2 dof (PI- inverse feedforward pid feedback), pure pid feedback, pure PI inverse model feed-forward corresponding simulation results. In front of the system model using models based on PI and n4sid algorithm combined with integrated model.)

code matlab solve linear equations