MPC_Exercise_First

Advanced correlation filter synthesis algorithms to achieve rotation invariance are described. We use a specified form for the filter as the rotation invariance constraint and derive a general closed-form solution for a multiclass rotation-invariant filter that can recognize a number of different objects. By requiring the filter to minimize the average correlation plane energy, we produce a multiclass rotation invariant (RI) RI-MACE filter, which controls correlation plane sidelobes and improves discrimination against false targets. To improve noise performance, we require the filter to minimize a weighted sum of correlation plane signal and noise energy. Initial test results of all filters are provided

matlab编程，解决非线性最小二乘优化问题，数学建模适用(matlab program to solve nonlinear least squares optimization problems, mathematical modeling applied)

load flows running in tranmission system to evaluate powers and losses

MATlab code for frequency hole detection in cognitive radio

QPSK 在高斯信道下的调制解调的matlab仿真实现，可显示输入数据的波形表示，I支路和Q支路以及调制前、解调后、接收的波形、星座图等(In the Gaussian channel QPSK modulation and demodulation matlab Simulation, the waveform can be displayed, said input data, I branch and Q branch, and before modulation, demodulation, the received waveform, constellation, etc.)

Regeneration: Perform Bit-plan slicing on the obtained high contrast pollen or test image for the image understanding and analysis or compression.

神经网络中的对象传播神经网络CPN的学习算法(Neural network objects CPN-propagation neural network learning algorithm)

Matlab source code for Bidirectional Associative Memory (BAM) neural network.

1D Convective Diffusion

MOEAD算法实现，含测试函数，有较为详细的注释。（MATLAB平台实现）(MOEAD algorithm implementation.)