psobp

设计一个采用 2ASK（OOK）调制的数字通信系统，给定载波频率为码元速率的2倍，产生二进制随机数据，并仿真其对应的 2ASK 调制波形，分析其频谱。所产生的调制波形加入不同信噪比的白噪声，再观察其波形和频谱变化。(Design of a use 2ASK (OOK) modulated digital communication system, a given carrier frequency is twice the symbol rate, to generate a random binary data, and simulate its corresponding 2ASK modulation waveform, the spectrum analysis. Modulated waveform generated by white noise with different noise ratio, and then observe its waveform and spectrum changes.)

用db5小波分解嗲能质量信号 并低频部分高频进行重构 最后给出图像(Db5 can whine with the quality of the signal wavelet decomposition and reconstruction low-frequency part of the high-frequency image is given)

用Goldstein法求解一维函数的极值 (By Goldstein method for solving one-dimensional function of the extreme)

禁忌搜索算法解决0/1整数规划NP难问题(Tabu Search Algorithm for 0/1 integer programming problem NP hard)

kalman filter main routine can be used to DSGE model and state space model

利用直方图均衡的方法改善图像质量matlab程序(use histogram equalization method to improve image quality procedures Matlab)

时延估计算法 非常有用 非常适合初学者 其中包括了LMSTDE/ ETDE TEDGE 等多个不同的自适应时延估计算法(time_delay very helpful)

位置指令为幅值为1.0的阶跃信号，r（k）=1.0。网络结构为1-4-1，高斯函数的参数值取Cj=[-2 -1 1 2]T ，B=[0.5 0.5 0.5 0.5]T 。 网络权值学习参数为η=0.30，α=0.05 。PID控制各参数的初RBF网络控制，被控对象为G（s）= 取采样时间为1ms，采用Z变换进行离散化，离散化后的被控对象为 y(k)=-den(2)*y（k-1）-den(3)*y(k-2)+num(2)*u(k-1)+num(3)*u(k-2) 始值为，kp=20， kd=0.3， ki=0.1。 (Position command for the step signal amplitude of 1.0, r (k) = 1.0. The network structure is 1-4-1, the Gaussian function parameters taken Cj = [-2-1 1 2] T, B = [0.5 0.5 0.5 0.5] T. Weight learning parameter η = 0.30, α = 0.05. PID control parameters at the beginning of each RBF network control, the controlled object is G (s) = take the sampling time is 1ms, using the Z transform discrete, discretized controlled object is y (k) =-den (2)* y (k-1)-den (3)* y (k-2)+num (2)* u (k-1)+num (3)* u (k-2) initial value, kp = 20, kd = 0.3, ki = 0.1.)

当水下存在多个目标时，利用平均声强器检测已经不再有效，此时使用复平均声强器来确定多目标的方位。(When existing multi sources, average acoustic intensity does work. At this case, complex average acoustic intensity can obtain the direction of multi sources.)

matlab源代码，是非负矩阵分解工具箱，包含乘法更新，最小二乘约束，投影梯度法等方法(Usage: [W,H] = nmf(X,K,alg,maxiter,speak) W: output matrix H: output matrix X: input matrix K: number of components alg: algorithm to use maxiter: maximum number of iterations speak: print to screen Algorithms: mm: Multiplicative updates method using euclidean distance measure. cjlin: Projected gradient method prob: Probabilistic non-negative matrix factorization. als: Alternating least squares. alsobs: Alternating least squares with optimal brain surgeon. Demonstrations: PET: NMF on a PET dataset Text: NMF used on a three different datasets Email, medical, and CNN. Algorithms mm: Multiplicative update method using euclidean distance measure. Described in Lee and Seung, 2001, Algorithms for Non-negative Matrix Factorization, Advances in Neural Information Processing Systems 13, 556-562. This algorithm is the most commonly used algorithm to solve NMF. cjlin: Alternative non-negative least squares using projected gradients. Author: Chih-Je)