parameter-identification

功能：该程序用于论文第4章仿真Weibull分布的海杂波。参考文献：罗军辉.《MATLAB 7.0在数字信号处理中的应用》. 电子工业出版社,p174-176. 输入：信干噪比、采样频率、尺度参数、波形参数输出：海杂波的时域和概率密度图(Features: The program for the thesis, Chapter 4 Simulation of Weibull distribution of sea clutter. References: Luo Junhui. " MATLAB 7.0 in Digital Signal Processing." Electronics Industry Publishing House, p174-176. Input: SINR, the sampling frequency, scale parameters, the output waveform parameters: sea clutter and time-domain probability density)

SVM_for_classficationS200502106 SVM用于模式分类 matlAB实现(SVM_for_classfication S200502106' SVM for pattern classification matlAB achieve)

Matlab source code for nurbs curves

Configurable Simulink Model for DC-DC Converters with PWM PI Control

模拟退火算法，模拟退火算法来源于固体退火原理，将固体加温至充分高，再让其徐徐冷却，加温时，固体内部粒子随温升变为无序状，内能增大，而徐徐冷却时粒子渐趋有序，在每个温度都达到平衡态，最后在常温时达到基态，内能减为最小。(Simulated annealing algorithm, simulated annealing algorithm derived from the principle of solid annealing, heating the solid to the full high, let it slowly cooling, heating, the solid particles with the internal temperature rise to disorder symptoms, which can be increased, and slowly gradually cooling particles in an orderly manner, at each temperature to reach equilibrium, and finally at room temperature reaches the ground state, which can be reduced to a minimum.)

说明：  完美运行的多目标灰狼算法，运行文件MOGWO即可进行试验。 可以借助学习灰狼算法，多目标优化。(The perfect multi-objective Gray Wolf algorithm can be tested by running the file mogwo. With the help of Grey Wolf algorithm, multi-objective optimization can be achieved.)

并联有源共模电流抑制方法的matlab仿真，建立仿真模型，分析补偿特性(common mode current inhibition of Matlab simulation, simulation model building, analyzing characteristics compensation)

PFC 的原理与分析设计 我们作比赛的资料(Principle and Analysis of PFC design we make the game data)

心电信号的R波检测，特征提取，心率的计算，可视化的检测。简单易懂，使用方便(ECG R-wave detection, feature extraction, heart rate calculation, visualization of testing. Easy to understand, easy to use)

描写了怎么样将c函数直接在malatb中调用的方法 有详细说明(Kind of describes how to c function call directly in the malatb method is described in detail)