plane-wave

基于小波变换的多尺度图像边缘检测matlab源代码，实现图像的边缘检测功能和技术(Detection matlab source code multi-scale image edge based on wavelet transform, image edge detection features and technologies)

说明：  二维冲突概率算法，其实这个仿真是为了验证三维算法实现的基础，在二维的基础上再把二维扩展到三维。但也有不一样的地方(Two-dimensional conflict probability algorithm, in fact, this simulation is to verify the basis of three-dimensional algorithm, based on the two-dimensional two-dimensional and then extended to three-dimensional. But there are also not the same place)

digital signal prosecing code

追赶法，拉格朗日插值，高斯塞德尔迭代，牛顿迭代(Catch-up method, Lagrange interpolation, high斯塞德尔iteration, Newton iteration)

Matlab Simulink right boost PWM pulse circuit and the simulation design process(Matlab Simulink right boost PWM pulse circuit and the simulation design process)

统计与自适应信号处理，对智能天线的 学习有帮助(Statistical and adaptive signal processing, the study of smart antenna help)

调用过程 CM = Confusion_matrix(train_predicts, train_targets) [combining_predicts, errorrate] = combining_NB(DP, test_targets, CM) DP，三维数组，(i,j,k)为第k个样本的DP矩阵 targets 为 0 1 2 (process called CM = Confusion_matrix (train_predicts, train_targets) [combining_predicts, errorrate] = combining_NB (DP, test_targets, CM) DP, three-dimensional array (i, j, k) for the k samples of DP matrix targets for 0 1 2 )

说明：  多种窗函数的FIR滤波器，GUI界面，参数设置，滤波测试，图片显示(FIR filter of window functions, GUI interface, parameters setting，filter test, picture shows )

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.)

newton raphson method