shihanshu

Very simple matlab code for QAM modulation

为判断聚类结果质量的好坏，需要一个客观的评价指标来评价聚类结果的合理性。聚类性能评价方法通常分为三种：外部评价法，内部评价法，相对评价法。外部评价法将聚类结果得到类标签和已知类标签进行比较，此评价法的前提是数据集样本的类标签已知(In order to judge the quality of clustering results, good or bad, the need for an objective evaluation to assess the reasonableness of the clustering results. Clustering performance evaluation method is usually divided into three types: external evaluation method, internal evaluation method, relative evaluation method. External evaluation method of clustering results to obtain class labels and the known class labels are compared, the premise of this evaluation method is a class label known sample of the data set)

说明：  用MATLAB中的simulink搭建的基于LLC谐振的双向DCDC平台，采用PID控制环控制输出电压，波形较好。(MATLAB simulink built based on LLC resonant two-way DCDC platform, PID control loop control output voltage, waveform is good.)

高斯白噪声下的LMS算法，归一化LMS算法。附仿真结果报告、源代码、截图，内容详尽，希望对您有所帮助(Gaussian white noise of the LMS algorithm, the normalized LMS algorithm. With the simulation results are reported, the source code, screenshots, and detailed, I hope for your help)

SVM工具箱集锦，希望对大家有帮助，SVM现在发展很快啊！(SVM Toolbox Collection, I hope all of you help, SVM has developed very rapidly now ah!)

森林火灾和气体扩散的matlab元胞自动机模拟(cellular Automata simulation)程序。(Forest fires and gas diffusion of matlab simulation of cellular automata (cellular Automata simulation) procedures.)

matlab sumission for image processing

本代码对于应用广泛的LMS和NLMS的各种性能进行了系统的比较，并MATLAB仿真分析比较了两种算法的性能。(The code for the widely used LMS and NLMS variety of performance comparison of the system and MATLAB simulation analysis and comparison of the performance of the two algorithms.)

粒子图像分割及匹配均为自行编制的子例程，详细画出了时域和频域的相关图，采用的是脉冲对消法。( Particle image segmentation and matching subroutines themselves are prepared, Correlation diagram shown in detail the time domain and frequency domain, It uses a pulse of consumer law.)

Duda《模式分类》第二版第1、3、5章部分课后习题和上机题的解答和程序代码(Duda pattern classification, the second edition of the first chapter 1,3,5 some after-school exercises and answers questions on the machine and program code)