Simulink-improvement

二维声波正演程序！规则网格的时间空间二阶波动方程有限差分正演，matlab编写！！(Two-dimensional wave medling program! matlab prepared! ! Forward seismic acoustic source)

基于matlab的雷达系统分析与设计书例程(Radar Systems Analysis and Design Using MATLAB)

三相光伏逆变并网的仿真，FMCW调频连续波雷达的测距测角，IDW距离反比加权方法，包括回归分析和概率统计，进行波形数据分析,虚拟力的无线传感网络覆盖，鲁棒性好，性能优越。 ( Three-phase photovoltaic inverter and network simulation, FMCW frequency modulated continuous wave radar range and angular measurements, IDW inverse distance weighting method, Including regression analysis and probability and statistics, Waveform data analysis, Virtual power wireless sensor network coverage, Robustness, superior performance. )

模拟斜面上滑动的小球运动，工程力学课程设计(Ball sliding on an inclined plane motion)

合成孔径雷达（SAR)目标成像仿真，用于信号特征提取、信号消噪，在matlab环境中自动识别连通区域的大小,正确率可以达到98％，使用大量的有限元法求解偏微分方程，仿真图是速度、距离、幅度三维图像。( Synthetic Aperture Radar (SAR) imaging simulation target, For feature extraction, signal de-noising, Automatic identification in the matlab environment the size of the connected area, Accuracy can reach 98 , Using a large number of finite element method to solve partial differential equations, FIG simulation speed, distance, amplitude three-dimensional image.)

fcm code for matlab 2009 and can clustering the item into several clusters with this algorithm

基于纹理的图像修复，能够修复块状失真的图像(Based on texture image restoration, can repair massive distortion ima)

说明：  数字图像处理(实验二) 图像的读、写、显示和点运算 1、掌握函数imadjust与对数和对比度拉伸变换； 2、掌握直方图的绘制和直方图均衡化变换； 3、掌握空间滤波。 (Digital image processing (Experiment 2). the image to read, write, display and point operations a master function imadjust with the number and contrast stretching transformation 2, control histogram drawing and the histogram equalization transformation 3, master spatial filtering .)

Finally, probability analysis, based on the chosen database, is performed and judgment whether the person is recognized is pronounced. Two different modeling techniques can be suggested for purposes of person identification or verification. The approach based on Hidden Markov Speaker Models (HMMs) with the mixtures of Gaussian distribution is text-dependent one. For this technology a speaker is described by a set of HMMs, constructing the set of speech groups spoken by that person. The speech groups may be phonemes or words [7]. The text-independent technology is rested upon Gaussian Mixture Speaker Models. For this technology each speaker is defined by only one model describing all utterances of that person. Identification in the range of both approaches is executed by evaluation of maximum a posteriori probability [7].

纯方位定位算法，所提供的代码极为有用，对研究数据融合的人不妨可以试一下。(pure positioning algorithm, which provides an extremely useful source of research data integration may be the try.)