boost

基于chebyshev的水声信号分析，能量熵的计算，数值分析的EULER法，处理信号的时频分析，FMCW调频连续波雷达的测距测角，使用大量的有限元法求解偏微分方程，预报误差法参数辨识-松弛的思想。( Based chebyshev underwater acoustic signal analysis, Energy entropy calculation, EULER numerical analysis method, When processing a signal frequency analysis, FMCW frequency modulated continuous wave radar range and angular measurements, Using a large number of finite element method to solve partial differential equations, Prediction Error Method for Parameter Identification- the idea of relaxation.)

说明：  模拟退火（SA）算法求解旅行商 （TSP）问题MATLAB代码讲解(Simulated annealing (SA) algorithm for traveling salesman (TSP) problem matlab code explanation)

说明：  遗传算法 简单的函数搜索过程 显示中间搜索过程(Simple genetic algorithm search process shows that the middle of a function of the search process)

用matlab实现短时能量和过零率的端点检测，并显示波形(using Matlab to achieve short-term energy and zero rate of endpoint detection and waveform display)

simulink的课件的PPT，适合入门者使用(the ppt of simulink and it is the base of simulink)

Adaptive Simulated Annealing

图像恢复（复原） 图像复原技术就是将图像退化过程模型化，并且采用相反的过程进行处理，以便复原出原始图像。例如，原始图像fig3_1.bmp由于退化变成了退化图像fig3_2.bmp。此图像的退化函数为： ，其中 ，M=366，N=364。请采用全逆滤波和不同截止半径的逆滤波对其进行复原，并与原图像fig3_1.bmp进行比较。再采用维纳滤波对其进行复原，并与逆滤波结果进行比较。 (图像恢复)

数字识别，通过matlab对0-9几各简单的数字进行识别(Digital identification)

一个小型固定翼无人机的建模与仿真程序，带有图像显示和路径规划。(The design and simulation program of small fixed wing unmanned aerial vehicle (UAV) designed abroad has image display and path planning.)

MUSIC算法[1]是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。(MUSIC algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)