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对地震图像实现保边滤波，使图像更加真实可信。(Seismic image by edge preserving filter, the image is more authentic.)

说明：  8PSK的源程序 matlab程序示例(8PSK source of the examples Matlab)

信号检测中采用Bayes准则求最佳判决门限的影响因素观察(Signal detection using Bayes factors observed criteria for the best decision threshold)

数组运算示例，演示二维数组的存储方式（不同于其它语言）以及数组的运算和输出方法。(example of array operations. Demostration of storage (unlike other languages) , operation and output method of two dimensional array.)

FOC simulation in Matlab

对于3-RRR型机械臂，根据自身特性，结合运动学特性，实现仿真。(For the 3-RRR-type robot arm, in accordance with its own characteristics, combined with kinematics characteristic of the realization of simulation.)

Remote ACcelt.Software Engineering

说明：  最速下降法是迭代法的一种,可以用于求解最小二乘问题(线性和非线性都可以)。在求解机器学习算法的模型参数，即无约束优化问题时，梯度下降（Gradient Descent）是最常采用的方法之一，另一种常用的方法是最小二乘法。在求解损失函数的最小值时，可以通过梯度下降法来一步步的迭代求解，得到最小化的损失函数和模型参数值。反过来，如果我们需要求解损失函数的最大值，这时就需要用梯度上升法来迭代了。在机器学习中，基于基本的梯度下降法发展了两种梯度下降方法，分别为随机梯度下降法和批量梯度下降法。(The steepest descent method is a kind of iterative method, which can be used to solve the least squares problem (both linear and nonlinear). In solving the model parameters of machine learning algorithm, that is, unconstrained optimization, gradient descent is one of the most commonly used methods, and the other is the least square method. When solving the minimum value of loss function, the gradient descent method can be used step by step to get the minimum value of loss function and model parameters. Conversely, if we need to solve the maximum value of the loss function, then we need to use the gradient rise method to iterate. In machine learning, two kinds of ladders are developed based on the basic gradient descent method)

mablab6.0时尚创作百例(mablab6.0 creative fashion 100 cases)

disorder extraction for medical images im matlab. It takes in put as diseas image and send recognize it