LDA2

隐马尔科夫链的基本函数，对于一些图像识别问题有好多的作用(Hidden Markov chain' s basic function, for some pattern recognition problems have a lot of role)

this code conveys the pcm encoding and decoding

说明：  二阶锁相环Matlab仿真代码，如入两路信号和信噪比，输出锁相以后的信号。可以仿真初始频差，和频率斜升的情况(second-order PLL Matlab simulation code, such as two-way signals and signal to noise ratio, the output signal after the lock-in. Simulation can initial frequency difference, and frequency ramp-up of)

this paper is about the image watermarking using DWT+DCT+CDMA. it provides a good PSNR value then each technique seprately

双线性变换巴特沃斯发设计数字带通滤波器。matlab环境下(Bilinear transform hair design digital Butterworth bandpass filter)

本程序基于实测的LFM脉冲信号回波数据，进行脉冲压缩处理，实现MTI/MTD/Matched Filter等功能，主要完成以下具体功能 1.脉冲压缩的实现以及结果处理， 2.固定目标的对消的实现方法、作用以及必要性分析， 3，脉冲积累的时机、实现方式、效果及必要性分析， 4,动目标检测的实际含义、具体实现方案及结果分析， 5,对目标距离、速度、数量的回答及旁瓣抑制的必要性分析 ( This program echo LFM pulse signal based on the measured data, the pulse compression processing, realize MTI/MTD/Matched Filter, and other functions, mainly to complete the following specific functions 1. The realization of pulse compression and processing results, 2. Cancellation of the realization method of the fixed target, function and the analysis of the necessity, 3, the timing of the pulse accumulation, implementation method, effect and necessity analysis, 4, the actual meaning of the moving target detection, the concrete implementation plan and result analysis, 5, the target distance, speed, number of answer and the analysis of the necessity of the sidelobe suppression )

排队论 经典 M/M/1程序 Queuing theory, the classical M/M/1 process(Queuing theory, the classical M/M/1 process)

提供了图像增强技术在医学方面的应用及算法，并实现了普通中值及自适应中值图像增强的不同效果，有Matlab代码(Provides image enhancement in medical applications and algorithms, and to achieve the common value and the adaptive value of different image enhancement effect has Matlab code)

TM 波 的 入 射(the input of TM wave)

用龙格库塔法求解微分方程组初值问题的matlab实例程序(a matlab example program about using Runge-Kutta method to solve the initial value problem of differential equations)