TD_Phy

插值，函数逼近，矩阵特征值计算，数值微分，积分，方程求根，非线性方程求解，迭代，随机数生成，特殊函数，常微分方程，偏微分方程等常用的matlab程序。(Interpolation, function approximation, matrix eigenvalue calculation, numerical differentiation, integration, finding roots of equations, nonlinear equations, iterative, random number generators, special functions, ordinary differential equations, partial differential equations and other commonly used matlab program.)

说明：  多目标跟踪，可处理多个目标，但8个以上效果就不行了。(Tracking, can handle multiple targets, but more than 8 results does not.)

斜视模式下星载雷达RD成像算法的研究,对雷达研究者有用！(Squint mode satellite radar imaging RD algorithm of the study，It is help for the people that study radar )

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. )

说明：  植物虫害检测（GUI，注释，svm算法） 该课题为基于MATLAB SVM方法的植物病害检测系统，带GUI界面，可以识别多种被虫害侵蚀的植物叶子，输出结果。带论文和详细注释。 train 对黄瓜子文件夹所有图片提取 颜色矩特征和gabor纹理特征，然后svm训练 test 对测试图像灰度化，滤波，提取 颜色矩特征和gabor纹理特征，然后svm模型测试，输出类别 colorMom.m 颜色矩特征提取 Gabor_palm.m gabor纹理特征提取(Plant pest detection (GUI, annotation, SVM algorithm) The project is a plant disease detection system based on MATLAB SVM method, with GUI interface, which can identify a variety of plant leaves eroded by pests and output results. With paper and detailed notes. Train extracts color moment features and Gabor texture features from all the pictures in the sub folder of cucumber, and then SVM trains them Test grayscale and filter the test image, extract color moment features and Gabor texture features, then SVM model test, output category Colormom. M color moment feature extraction Gabor u Palm. M Gabor texture feature extraction)

语音信号经过一个FIR滤波器，包括前后的频谱图，光谱图，滤波器的零值点，以及频谱(Voice signal through a FIR filter, including the front and rear of the frequency spectrum, spectral map, the filter zero points, and the spectrum)

simulation psk, simulation source, there are descriptions and explanations related to procedures and functions are.

说明：  本程序实现了CT系统在锥形束等距投影情况下，2D图像的重建(This procedure achieved a cone-beam CT system in the case of isometric projection, 2D image reconstruction)

说明：  用matlab实现启发式算法布谷鸟算法，用于生产优化(New heuristic- CS algorithm for the production optimization problem using matlab )

绘制NASA的CALIPSO卫星的verticle feature mask图(draw calipso VFM map)