iris

matlab的100个小应用程序，对初学者比较有用。(100 small matlab application, useful for beginners.)

EIDORS的电阻抗成像仿真软件。版本3.6，日期为7 Jul 2012。采用matlab编写。汇总了大量的算法(EIDORS electrical impedance tomography simulation software. Version 3.6, Date 7 Jul 2012. Using matlab. A summary of a large number of algorithms)

计算成组滑动的滑窗检测器的最佳门限已知: 击中数N = 128, 组宽n = 8，PF = 10¡ 6，PD = 90 假设以下条件: (a) 信号不起伏 (b) 忽略天线波束调制 1 (c) 计算PD时忽略目标区以外噪声的影响 组门限(第二门限)为K=8 滑窗的门限(第三门限)为L=16 (滑窗中包含的组数为16) 求解: 最佳的KOPT 和LOPT，对这题做了具体仿真实现。需要的朋友，一定知道很有用。(Optimal threshold calculated as group slidable window detector is known: hit number N = 128, the group width n = 8, PF = 106, PD = 90 assuming the following conditions: (a) signal is not undulation ( b) ignore the antenna beam modulation 1 (c) the calculation of PD ignored outside the target area noise of impact group door limit (the second door limit) for K = 8 sliding window of the door limit (third door limit) for L = 16 (sliding window contains group 16) to solve: the best of the KOPT the LOPT, these questions do specific simulation to achieve. A friend in need, we must know to be useful.)

说明：  用遗传算法解决多车场多目标带时间窗车辆问题(Using genetic algorithm to solve the vehicle problem of multi depot and multi-objective with time windows)

this calculates the outage probability of wireless communicTION SYSTEM

SVPWM MATLAB 仿真模型 频率10K 标准电压变化 功率变换(SVPWM MATLAB simulation model 10K standard voltage variation frequency power conversion)

卷积神经网络是人工神经网络的一种，已成为当前语音分析和图像识别领域的研究热点。它的权值共享网络结构使之更类似于生物神经网络，降低了网络模型的复杂度，减少了权值的数量。自己可已加入数据，和修改梯度。(Convolutional neural network is an artificial neural network, it has become a research hotspot speech analysis and image recognition field. It weights shared network structure to make it more similar to biological neural networks, reduce the complexity of the network model, reducing the number of weights. Own data may have been added, and modify gradients.)

服从频率选择性衰落并且也服从瑞利衰落的信道。(Subject to frequency selective fading and also subject to Rayleigh fading channel.)

MIMO系统Rayleigh信道容量 AWGN信道特征值统计分布(MIMO)

matlab高级应用教程，涉及到插值方法、高斯积分、边值问题、动力学相应分析、非线性积分、弯曲梁结构计算等等(matlab tutorial for advanced applications involving the interpolation method, the Gaussian integral, boundary value problem, the corresponding dynamic analysis, nonlinear integral, bending beam structure calculation, etc.)