GLCM

说明：  用基本遗传算法求解一维无约束优化问题 用顺序选择遗传算法求解一维无约束优化问题 用动态线性标定适应值的遗传算法求解一维无约束优化问题 用大变异遗传算法求解一维无约束优化问题 用自适应遗传算法求解一维无约束优化问题 用双切点遗传优化求解一维无约束优化问题 用多变异位自适应遗传优化求解一维无约束优化问题 (The basic genetic algorithm with one-dimensional sequence of unconstrained optimization problems using genetic algorithm selected one-dimensional non-linear constrained optimization problem of dynamic calibration of genetic algorithm to adapt to the value of one-dimensional unconstrained optimization genetic algorithm with a large variation of one-dimensional unconstrained adaptive genetic algorithm for optimization problem solving unconstrained optimization problems one-dimensional cut by two-dimensional point of GA for solving a problem of unconstrained optimization adaptive genetic optimization with variable ectopic solving one-dimensional unconstrained optimization problem)

频谱感知中的能量感知算法，在不同虚警概率的情况下，信噪比和检测概率的变化。(In Cognitive Radio， spectru sensing is important。And energy detection is more. In different false alarm probability, the Pd vary with the SNR.)

说明：  实现FSK调制的详细过程，对学习很有帮助，必须顶(Detailed process to achieve FSK modulation, useful for learning to be top)

使用MATLAB程序求一阶倒立摆系统的状态空间以及其极点配置的小程序，对于设计计算一阶倒立摆系统的控制算法及其仿真有较好的辅助作用。(Using the MATLAB program seeking an inverted pendulum system, the state space and its pole configuration applet for the design and calculation of an inverted pendulum control algorithm and its simulation system has good supporting role.)

独立分量分析中的时域预测代码 matlab格式 希望有用 (independent component analysis of time-domain code forecast hope Matlab format useful)

利用卡尔曼滤波对观测数据进行优化处理，并在观测数据的基础上对卡尔曼滤波进行改进(The Kalman filter is used to optimize the observed data, and the Kalman filter is improved on the basis of the observed data.)

The book is based on machines reference frame theory it gives clear explanations......

有限元法分析电磁场二维问题,中间是1V，外面是0V(Finite Element Analysis of Electromagnetic two-dimensional problem, the middle is 1V, the outside is 0V)

ant colony optimization

利用现代谱估计中的AR 模型求取仿真噪声信号和真实噪声信号的模型参数，然后利用这些参数求得信号的功率谱图，通过功率谱图定性地描述主噪声源和次噪声源。在利用信号功率谱图定性描述噪声源后，进一步地利用曲线相似度和曲线关联度定量的识别主噪声源和次噪声源(Use of modern spectral estimation of AR model to strike a realistic simulation of the noise signal and noise model parameters, and then use these parameters obtained by the signal power spectrum, power spectrum qualitatively described by the main noise source and the second noise source. In the use of qualitative description of the noise signal power spectrum of the source, the further use of the correlation curve and the curve of quantitative similarity identification of the main noise source and the second noise source)