ece4305_code2

Group Velocity simulator

ofdm信道估计的程序源代码，使用matlab语言编写(ofdm channel estimation of the source code, the use of language matlab)

Simulation Of Patch Antenna Using MATLAB

说明：  MMC中IGBT损耗计算与结温模块（计算开关周期内的损耗，公式可以参考 电工技术学报 WXP先生 2018-12-14 的一篇文献），还有一对VT+VD的Foster。公式及其实现没有问题，仿真过程可能出现代数环，如果有自己的Foster或者Cauer最好。(power loss calculation&junction temperature detection of IGBT in MMC)

多项式插值和多项式拟合数学运算matlab算法仿真(Polynomial interpolation and polynomial fitting mathematical algorithm matlab simulation)

：该文把局部三值模式(Local Ternary Patterns, LTP)纹理特征引入Mean Shift 跟踪算法，提出了基于多 特征的Mean Shift 人脸跟踪算法以解决Mean shift 跟踪算法的鲁棒性问题。通过对LTP 纹理特征的分析、研究， 提出了一个LTP 关键纹理模型，既增强了目标的关键纹理信息，又简化了LTP 纹理模型。在此基础上，提出一 种基于LTP 关键纹理特征和肤色特征的Mean Shift 人脸跟踪算法，有效地解决了Mean Shift 算法的鲁棒性问题。 为进一步提高对快速运动目标的跟踪速度和跟踪性能，该文引入了卡尔曼滤波器对目标进行预测。实验结果表明， 该文的算法在目标定位的准确性和跟踪性能上比Mean Shift 算法均有明显的提高。(: In this paper, the texture characteristics of the local ternary patterns Local Ternary Patterns (LTP) Mean Shift tracking algorithm proposed Mean Shift face tracking algorithm based on multiple features in order to solve the Mean shift tracking algorithm robustness. Texture characteristics of LTP analysis, research, a key LTP texture model, not only enhanced the key goal of texture information, but also simplifies the the LTP texture model. On this basis, based on the LTP key texture features and color characteristics Mean Shift face tracking algorithm, effectively solved the robustness of the Mean Shift algorithm. To further enhance the fast-moving target tracking speed and tracking performance, this paper introduces the Kalman filter to predict the target. The experimental results show that the algorithm of the text in the target positioning accuracy and tracking performance than the Mean Shift algorithm to significantly improve.)

FIR滤波器， 设计一个线性相位有限冲激响应低通滤波器，使其满足如下指标：通带边界为2kHz，阻带边界为2.5kHz，通带波纹 =0.005，阻带波纹 =0.005，抽样率为10kHz。采用多尔夫-切比雪夫窗进行设计，进行频谱分析。(FIR filter, design a linear phase FIR low-pass filter to meet the following indicators: passband border to 2kHz, stopband border to 2.5kHz, passband ripple = 0.005, stop-band ripple = 0.005, sampling rate of 10kHz. Used Dorf- Chebyshev window design, spectral analysis.)

本程序可以进行有限元模型修正和结构损伤识别，优点是基本解决了测量信息有限的问题。(This program can perform finite element model correction and structural damage identification. The advantage is that the problem of limited measurement information is basically solved.)

ofdm_signal by matlab

Morphologic filters in matlab.