FDTD_2D_Yee_2D_TM_final1

说明：  利用leslie人口模型来解决数学建模中的鱼群数量增减的问题： 具体问题在《数学建模与实验》（科学出版社）的153页第四题。(Leslie population model using mathematical modeling to solve the problem of increase or decrease in the number of fish: specific issues in the &quot Mathematical Modeling and Experiment&quot (Science Press) is the fourth 153 title.)

说明：  （本科生课程设计）主要实现的功能是设计一个恒压恒频正弦波逆变电源，具体参数如下：单相交流输入220V/50Hz，输出单相交流电压110V/50Hz,THD<5 ,负载为一般的阻感负载，功率1500W。利用matlab中simulink实现仿真功能。(The main functions of the (undergraduate curriculum design) is designing a constant voltage constant frequency sine wave inverter, specific parameters are as follows: single-phase AC input 220V/50Hz, output single-phase AC voltage 110V/50Hz, THD &lt 5 load general resistance inductive load, power 1500W. Matlab in simulink simulation capabilities.)

this is nicer project idea u can use it for futuer prospect

说明：  这是几篇关于boost电路设计的文章，学习电力电子的人会有所启发和帮助(This is a few articles on the boost circuit design, power electronics people will learn to inspire and help)

说明：  麦克风阵列的TLS自适应波束形成算法仿真，麦克间距和输入信号带宽可调，通过调整参数达到需要的输出(microphone array of adaptive beamforming TLS algorithm simulation, Mike spacing and adjustable input signal bandwidth. by adjusting the parameters of the needs of the output)

说明：  大家可以参考以下 有关MATLAB图象处理的 后面有详细注释(we can refer to the following MATLAB image processing behind a detailed Notes)

传统的短时谱估计语音增强算法通常假设语音谱分量相互独立，没有考虑语音谱分量间的相关性。针对这 一问题，该文提出一种新的基于多元Laplace分布模型的短时谱估计算法。首先，假设语音的离散余弦变换(DCT) 系数服从多元Laplace分布，以此利用谱分量间的相关性；在此基础上，利用多元随机矢量的高斯尺度混合模型表 示，推导得到语音DCT系数矢量的最小均方误差(MMSE)估计的解析表达式；并进一步推导了基于该分布模型的 语音存在概率，对最小均方误差估计子进行修正。实验结果表明，该算法在抑制背景噪声和减少语音失真等方面优 于传统的语音增强方法。(The spectral components of speech are usually assumed to be independent in traditional short-time spectrum estimation, which is not the case in practice. Tosolve this problem, a new speech enhancement algorithm with multivariate Laplace speech model is proposed in this paper. Firstly, the speech Discrete Cosine Transform (DCT) coefficients are modeled by a multivariate Laplace distribution, so the correlations between speech spectral components can be exploited. And then a Minimum-Mean-Square-Error (MMSE) estimator based on the proposed model is derived using a Gaussian scale mixture representation of random vectors. Furthermore, the speech presence uncertainty with the new model is derived to modify the MMSE estimator. Experimental results show that the developed method has better noise suppression performance and lower speech distortion compared to the traditional speech enhancement method. )

使用MATLAB对多智能体实现仿真，带有时滞和扰动(multi agent system)

自己编写的正弦插值算法及误差计算Matlab仿真试验代码，供交流参考。(I have written Sinusoidal interpolation algorithm and error calculation of Matlab simulation code for the exchange of reference.)

外螺旋矩阵的递归和非递归C编程方法 笔试中经常出现的题(Spiral Matrix outside the recursive and non recursive methods written in C programming problems often appear in)