BPSK

摄影测量中后房交会的matlab源程序。内含有数据，通过实测大地坐标 和左相片和右相片的内参数外参数 计算出图片山待定点的坐标。(Photogrammetry Fair Housing Matlab source. Contains data, geodetic coordinates and the left photo and right photo of the measured parameters within the outer parameters calculated picture of the mountain to be determined point coordinates. )

对于加载的接收天线的频率宽度进行优化设计(Optimal Design of Broadband Loaded Receiving Antenna)

Bpsk信号源，可直接调用，码速率与调制载波可调(Bpsk signal source, can be directly invoked, code rate and modulation carrier adjustable)

初学matlab，按照help指导写的一个16qam信号lms均衡的simulink。(Beginner matlab, written in accordance with the help guidance a 16qam signal lms equalizer simulink.)

function strlen and strcpy and strcut in c++ and c for use

完整的基于HMM的语音识别系统，matlab编写的元胞自动机，合成孔径雷达（SAR)目标成像仿真。( Complete HMM-based speech recognition system, matlab prepared cellular automata, Synthetic Aperture Radar (SAR) imaging simulation target.)

中值滤波窗口大小影响滤波器性能,3×3滤波窗口可以很好地保持图像细节。提出一种新的自适应中值滤波方法。将3×3窗口中心的极值点作为候选噪声点,若候选噪声点仍然是7×7窗口的极值点,则该点即是噪声点。若以噪声点为中心的3×3滤波窗口的中值不是噪声,则噪声用中值替换。重复以上过程,直到没有噪声点被替换。(Median filter window size affect the filter performance, 33 filter window can be well preserving image detail. Propose a new adaptive median filtering method. The 33 extreme point of the center of the window as the candidate noise the candidate noise is still 77 extreme points of the window, the point is that the noise point. Terms of noise centered on the point 33 filtering window value is not a noise, the noise is replaced with the median. The process is repeated until there is no noise point is replaced.)

说明：  因子分析的matlab源程序代码，可以对多远数据进行约简。(Factor analysis matlab source code, how far can the data reduction.)

说明：  Singer 机动目标跟踪算法的MATLAB仿真程序,绝对好用.请先解压,其中: target_movement.m文件为目标运动模型文件. Singer.m为主程序文件.(Singer maneuvering target tracking algorithm MATLAB simulation program, the absolute ease of use. Please decompression, in which: target_movement.m paper documents for the target motion model. Singer.m the main program files.)

A PIV Post-processing and data analysis toolbox(The PIVMat Toolbox for Matlab contains a set of command-line functions to import, post-process and analyse 2- and 3-components vector fields from PIV (particle image velocimetry), stereo-PIV, DIC (digital image correlation) SS (synthetic schlieren) or BOS (background-oriented schlieren) applications. Main Features: - Import vector fields from PIV (Particle Image Velocimetry) or other related technics, such as DIC (Digital Image Correlation), SS and BOS (Synthetic Schlieren and Background-oriented Schlieren). - Compatibale with files from DaVis (LaVision), DPIVSoft (Meunier & Leweke), VidPIV (Oxford Laser), MatPIV and Optical Flow. - Standard vector field operations: interpolation, filtering (median, Butterworth...), averaging (temporal, spatial, azimuthal...), derivatives computation (vorticity, divergence, strain, Q-factor...) - Fully vectorized: all operations directly apply on arrays of fields (no for loops) - More than 60 functions with full on-line documentation sampl)