niudunfa

TEEN is a protocol developed for wireless sensor networks and is a routing protocol

MATLAB声呐图像特征提取与显示，基于线型特征提取，得到声呐的图像提取点云图像。(MATLAB sonar image feature extraction and display, based on linear feature extraction, image extraction obtained sonar point cloud image.)

Demonstrate ricernd, ricepdf, and ricestat, in the context of simulating Rician distributed noise for Magnetic Resonance Imaging magnitude data. (Demonstrate ricernd, ricepdf, and ricestat, in the context of simulating Rician distributed noise for Magnetic Resonance Imaging magnitude data.)

LMI及鲁棒预测控制工具书，基于matlab编程环境。(LMI and robust predictive control tool, based on matlab programming environment.)

说明：  运动估计代码.里面有源图像和运行结果.对写论文应该有帮助(motion estimation code. Active inside images and results of operations. Papers should be written to help)

8PSK 调制，AWGN信道下的信道容量的matlab 仿真程序。(8PSK modulation, channel capacity under AWGN channel matlab simulation program.)

通过虚拟阵元进行DOA估计，ldpc码的编解码实现，关于神经网络控制。( Conducted through virtual array DOA estimation, Codec ldpc code implementation On neural network control.)

用局部参数最优化方法设计一个模型参考自适应系统,可调增益的初值Kc(0)=0.2，给定值r(t)为单位阶跃信号，即r(t)=A×1(t)。 要求： 1把连续系统离散化(采样时间可取0.1)。 2编制并运行这个系统的计算机程序(注意调整B值，使系统获得较好的自适应特性)。 3记录ym、yp的曲线 记录kp×kc的曲线 记录广义输出误差e的变化曲线。 4在参数收敛后，让Kp=2变为Kp=1，重新观察Kp×Kc及e的变化曲线。 5找出在确定的B值下，使系统不稳定的A值(阶跃信号的幅值)，并与用劳斯稳定判据计算的结果比较。 (With local parameter optimization method to design a model reference adaptive system, adjustable gain initial Kc (0) = 0.2, for a given value of r (t) for the unit step signal that r (t) = A × 1 ( t). Requirements: a continuous system discretization (sampling time of 0.1 preferred). 2 compiled and run the system computer program (Note B to adjust the value of the system to obtain better adaptive characteristics). 3 records ym, yp curve record kp × kc curve records generalized output error e curves. 4 parameter convergence, let Kp = 2 into the Kp = 1, re-observed Kp × Kc and e curves. B-5 to find value in determining the next, making the system unstable A value (step signal of amplitude), and using Routh stability criterion and the comparison of the results calculated.)

专家PID控制matlab代码M文件。具有响应快速，无超调的特点。(Expert PID control matlab code M-file. Has a fast response, no overshoot characteristics.)

二维粒子群的实现。 编码简单，容易理解。(Two-dimensional particle swarm implementation. Coding is simple, easy to understand.)