liduceding

本程序使用matlab编码，能实现对运动目标的检测，适合初学者学习(This procedure using matlab coding, to achieve the detection of moving targets, suitable for beginners to learn)

包含所有约束优化问题中涉及的matlab源程序。包含Rosen梯度法求解约束多维函数的极值，外点罚函数法解线性等式约束，外点罚函数法解一般等式约束，内点罚函数法，混合罚函数法，混合罚函数加速法，乘子法，坐标轮换法及复合形法(Contains all the constrained optimization problem involves matlab source. Contains Rosen gradient method for solving constrained multi-dimensional function extremum, external point penalty function method for solving linear equality constraints, external point penalty function method for solving general equality constraints, interior point penalty function method, mixed penalty function method, mixed penalty function acceleration method , multiplier method, the coordinate rotation method and complex method)

example code for Digital Signal Processing Using Matlab

计算机网络技术 海明编码和CRC校验编码 matlab实现(Computer Network Technology Hamming coding and CRC check code matlab implementation)

Matlab code for the Simulation of the Maxwell-Dirac and Schrodinger-Poisson systems

说明：  GENE算法的应用，分割相关的肝脏图。用遗传算法找到最优阈值，然后选择canny算子(the application of GENE algorithm in matlab)

该函数sinfap.m评估频率，振幅，相位和平均均匀采样谐波信号值。(The function sinfap.m evaluates frequency, amplitude, phase and mean value of a uniformly sampled harmonic signal)

2发2收，BPSK、QPSK、16QAM等多种调制方式下的差分空时编解码程序，仿真结果正确。(Two transmit antenna, two receiving antennas, a variety of modulation mode differential space encoding and decoding process, simulation results are correct.)

PCA(主成分分析法)、LDA(线性判别法)两种方法是主要的的线性降维法，有非常好的效果，希望对大家能够有用！ 已通过测试。 (PCA (Principal Component Analysis), LDA (linear discriminant method) two methods are the main linear dimensionality reduction method, with very good results, we hope to be useful! Has been tested.)

NOAA网站AVHRR卫星数据绘图（SST）。数据选用原因:它本身是已经被处理过的27年（1982-2008）全球月平均数据，而且数据精度非常高，对于研究全球SST的气候态特征有较好的说服性；另外，选择2月与8月的数据，对描述海洋水温的平面分布更具有代表性。 (NOAA AVHRR satellite data mapping site (SST). Data Selection reasons: it is itself already been treated for 27 years (1982-2008) global average monthly data, and the data accuracy is very high, for the study of global climate SST state characteristics have better persuasive addition, February with the data in August, and the description of ocean water temperature plane distribution more representative.)