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对多天线系统进行编码，既有空间分集，又有时间分集(stbc code containing time diversity and space diveisity)

this code determine the music spectrum

matlab的学习资料，非常好！老师给我推荐的，用这个学习很方便的~(the Matlab learning information is very good! Teacher recommended to me, learning is very convenient ~~)

说明：  这个M代码是从一位学者的Python修改而来的 卡尔曼滤波算法对室内温度的估计。 下面是Python版本的注释：卡尔曼过滤器的Python示例演示(This M code is modified from Andrew D. Straw's Python implementation of Kalman filter algorithm. Below is the Python version's comments: Kalman filter example demo in Python)

该程序是一个振荡相位噪声模型。相位噪声是衡量频率标准源(高稳晶振、原子频标等)频稳质量的重要指标，随着频标源性能的不断改善，相应噪声量值越来越小，因而对相位噪声谱的测量要求也越来越高。(The program is a model of phase noise oscillator. Phase noise is a measure of frequency standard source (high stability crystal oscillator, atomic frequency standard, etc.) an important indicator of the quality of the frequency stability, with the frequency standard source performance continues to improve, the corresponding noise value smaller, and thus the phase noise spectrum of the measurement requirements higher and higher.)

基于matlab编程，给定几对初值，利用ode求解奔月的轨道示意图(Matlab-based programming, given a few of the initial value, the use of ODE solving flying to the moon orbit diagram)

图像处理经典算法，基于PCA的人脸识别matlab代码(Matlab code of face recognition based on PCA)

数字信号处理基于matlab 文件内容 /conv(卷积部分) dupconv 重叠保留法 freqcirconv 频域圆周卷积 freqconv 频域卷积 timecirconv 时域圆周卷积 timeconv 时域卷积 /fft(频域分析部分) d2fft 基2FFT dft DFT最简化程序 dtft DTFT演示 /fir(fir滤波器设计) fir 得到fir滤波器hn getwindow 得到fir滤波器窗函数wn idealfilter 理想滤波器(低通,高通,带通)hdn idealhd 理想低通滤波器 /fir gui(fir滤波器GUI设计) gui_top 总图 gui_fir fir滤波器GUI gui_sigout 选择信号GUI /power caculate(功率谱分析) directpower 直接谱分析 indirectpower 间接谱分析(估计谱分析) noise 噪声谱分析 /sigout(常见信号产生) sigout 离散信号产生(Digital signal processing matlab based on the content of the document/conv (convolution part) dupconv law of reservations freqcirconv overlapping frequency domain circular convolution freqconv frequency domain convolution timecirconv time-domain circular convolution timeconv time-domain convolution/fft (frequency domain analysis part) d2fft base 2FFT dft DFT the most simplified procedure dtft DTFT demo/fir (fir filter design) fir be fir filter hn getwindow be fir filter window function wn idealfilter ideal filter (low pass, high pass, band-pass) hdn idealhd ideal low-pass Filter/fir gui (fir filter GUI design) gui_top general layout gui_fir fir filter selection GUI gui_sigout signal GUI/power caculate (power spectrum analysis) directpower direct spectral analysis indirectpower indirect spectral analysis (spectral analysis estimated) noise noise spectrum analysis/sigout (common signals) sigout discrete signals)

各种方法的去噪程序 den1.m 使用半软阈值方法对图像进行去噪 den1_5_1.m 半软阈值的改进方法 对第一层重构图像进行均值滤波 den1_9.m 半软阈值的改进方法 将线性衰减的函数改为指数的 den1_10.m 半软阈值的改进方法 对第一层的重构图像再次进行小波阈值去噪 den2.m 用软硬阈值函数的改进方法进行去噪 den3.m 用广义阈值函数进行去噪 den4.m 用自适应特征阈值函数进行去噪 wdenoise.m 用Donoho阈值或Birge-Massart策略及软阈值或硬阈值函数进行去噪 meanfilter.m 均值滤波方法进行去噪(对比用) medfilter.m 中值滤波方法进行去噪(对比用)(Denoising procedures for various methods Den1.m using semi soft threshold method for image denoising The improved method of den1_5_1.m semi soft threshold for the first layer of the reconstructed image The improved method of den1_9.m semi soft threshold will be changed linear to exponential. The improved method of den1_10.m semi soft threshold for the first layer of the reconstructed image again for wavelet thresholding denoising Den2.m using the soft and hard threshold function to improve the method of denoising Den3.m using generalized threshold function for denoising Den4.m with adaptive feature threshold function for denoising Wdenoise.m with Donoho threshold or Birge-Massart strategy and soft threshold or hard threshold function for denoising Meanfilter.m mean filtering method for denoising (contrast) Medfilter.m median filtering method for denoising (contrast))

四旋翼飞行仿真器俯仰角的模糊PID控制器的设计，建立微型四旋翼无人机系统动力学数学模型和电机模型， 在系统模型的基础上设计模糊PID 控制器。通过Matlab/Simulink 仿真对所设计的模糊PID 控制器的有效性进行验证。(Design of Fuzzy PID Controller Flight Simulator four-rotor pitch angle, the establishment of micro four-rotor UAV system dynamics mathematical model and motor model, based on the system model design fuzzy PID controller. By Matlab/Simulink simulation of the effectiveness of the designed fuzzy PID controller for authentication.)