matlab--input

This program does watermarking in dct coefficints.Robust againt jpeg compression and noise.Evaluated with psnr

simulink实例,非线性控制实例,对非线性的学习非常有用，(Nonlinear Control Example，it is very useful for us.The dynamic control model of a two-link robot arm in a vertical plane is shown )

本科毕业设计用到的资源分配程序，在子载波和数量上对多用户进行分配(Graduate design resource allocation procedures used to allocate subcarriers and the number of multi-user)

Tennesse-Eastman process control system (TE-PCS) simulink

说明：  修正BBO晶体折射率色散公式中错误的系数 ，完成βBBO晶体Ⅱ类匹配的SPDC（共线情况）并计算相位匹配角。此时的相位匹配角为能 产生纠缠光子对的最小切割角。另附一份参考文献，详细的说明此类实验的步骤与细节。(Correct the wrong coefficient in the refractive index dispersion formula of BBO crystal, complete the type II matching SPDC of BBO crystal and calculate the phase matching angle. The phase matching angle is the minimum cutting angle that can produce entangled photon pairs. In addition, a reference is attached to explain the steps and details of such experiments in detail.)

单级倒立摆的模糊控制以及在MATLAB中的仿真倒立摆在研究双足机器人直立行走、火箭发射过程的姿态调整和直升机飞行控制领域中有重要的现实意义，相关的科研成果己经应用到航天科技和机器人学等诸多领域(A handstand on the study of bipedal robot to walk upright, rocket launch posture adjustment and in the field of helicopter flight control have important realistic meaning, related research achievement has been applied to many fields such as aerospace science and technology and robotics)

fit_ML_normal - Maximum Likelihood fit of the laplace distribution of i.i.d. samples!. Given the samples of a laplace distribution, the PDF parameter is found fits data to the probability of the form: p(x) = 1/(2*b)*exp(-abs(x-u)/b) with parameters: u,b format: result = fit_ML_laplace( x,hAx ) input: x - vector, samples with laplace distribution to be parameterized hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields u,b - fitted parameters CRB_b - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML

置信传播是一中很有效的算法，将其应用于检测，通过在检测与译码之间迭代交换传递信息，并有选择地通过单边消息传递来更新信息，降低系统实现的复杂度。 (Belief propagation is a very efficient algorithm to be applied to the detection, the information transmitted by the exchange between the iterative detection and decoding, and to update the information, to reduce the complexity of system implementation is selectively transmitted through unilateral messages.)

说明：  hslogic算法仿真,基于MATLAB/SIMULINK的LPC特征提取仿真与分析(Hslogic algorithm simulation, LPC feature extraction simulation and analysis based on MATLAB / Simulink)

基于simulink的卷积码编码性能仿真，给出性能曲线。(Convolution code coding performance based on simulink simulation, the performance curve is given.)