matlabGAtoolbox

Interpolacja medianowa Lagrangea

说明：  这是一个matlab的java实现。里面有许多内容。请大家慢慢捉摸。(This is a realization of Matlab java. There are many elements. Please slowly grasp.)

matlab编程样式指南。matlab编程指导书籍(Matlab programming style guides. Matlab programming guide books)

Matlab基于金字塔结构的图像处理 GUI界面，可直接使用(Matlab based on the pyramid structure of image processing GUI interface, can be directly used)

simulation Monte Carlo 2d

这是基于虚拟力的无线传感网络覆盖仿真的源代码(This is based on the virtual power wireless sensor network coverage simulation source code)

对2维doa进行估计，在不同的快拍数情况下，BPSK信号的经典MUSIC估计比单频信号的经典MUSIC估计方法均方根误差性能更好(On 2 d to estimate doa. In different fast take several cases, BPSK signal of classical MUSIC estimate than single frequency signal of the classical MUSIC estimation method root mean square error performance better. )

说明：  任务：设计一个4×2.5Gbit/s 长距离光纤传输系统，并利用OptiSystem 仿真验证。 要求： 1．采用波分复用技术，波长设置以100GHz 为间隔，频率分别为193.1THz、193.2THz、193.3THz、193.4THz，每个波长传输速率为2.5Gbit/s（NRZ），传输距离为300km。采用常规光纤，光纤损耗系数为0.25dB/km。 2．单通道光发送机最大输出功率为0dBm，光接收机的接收光功率不低于－26dBm，过载点为－10dBm。 3．可以采用EDFA 作为线路放大器，其中EDFA 的输入功率限制在－18～2dBm，最大输出功率20dBm，增益范围为13～25dB，噪声指数4.0dB。(Task: Design a 4 x 2.5 Gbit/s long-distance optical fiber transmission system, and use OptiSystem simulation to verify. Requirement: 1. Using wavelength division multiplexing technology, the wavelength is set at 100GHz intervals, with frequencies of 193.1 THz, 193.2 THz, 193.3 THz and 193.4 THz, respectively. The transmission rate of each wavelength is 2.5 Gbit/s (NRZ), and the transmission distance is 300 km. The loss coefficient of conventional optical fibers is 0.25dB/km. 2. The maximum output power of a single-channel optical transmitter is 0 dBm, and the receiving power of an optical receiver is not less than -26 dBm, and the overload point is -10 dBm. 3. EDFA can be used as line amplifier, where the input power of EDFA is limited to - 18-2dBm, the maximum output power is 20dBm, the gain range is 13-25dB, and the noise index is 4.0dB.)

Bilinear Series Parameter Estimation

2opt metaheuristic algorithm greedy