MATLAB-Function.doc

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雷达的恒虚警检测技术，二维cfar，采用十字形取数法(Radar CFAR detection technology, two-dimensional CFAR, using the cross number method)

输出直角杨辉三角前十行，边框可以随机变色(Yang Hui triangle right angle output of the first ten rows, border color can be random)

深度学习方法中的卷积受限玻尔兹曼机的必备学习源，有助于了解方法原理。(Convolution restricted boltzmann machine in deep learning approach, a necessary source of learning, helps to understand the method principle)

QAM mod using matlab

For inverting a matrix, Gauss-Jordan elimination is about as efficient as any other method. For solving sets of linear equations, Gauss-Jordan elimination produces both the solution of the equations for one or more right-hand side vectors b, and also the matrix inverse A(-1). However, its principal weaknesses are (i) that it requires all the right-hand sides to be stored and manipulated at the same time, and (ii) that when the inverse matrix is not desired, Gauss-Jordan is three times slower than the best alternative technique for solving a single linear set.

THE ALGORITH OF RGB TO HSV USE MATLAB

声音时频分析的小程序，可以直接使用，可供初学者参考利用。(Sound frequency analysis procedures can be used directly reference for beginners to use.)

线性递减权重粒子群优化算法是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。 (Linear decreasing weight particle swarm optimization starting from random solutions to find the optimal solution by iteration, it is also the fitness to evaluate the quality of the solution, but it is much simpler than the genetic algorithm rules, it is not a genetic algorithm " cross" (Crossover) and " variation" (Mutation) operation, which follow the current search for the optimal value to find the global optimum. The advantage of this algorithm is its ease of implementation, high accuracy, fast convergence and attracted the attention of the academic community, and demonstrated its superiority in solving practical problems.)

两个关于小球的 matlab 示例 小程序(Two examples of small balls small program matlab)