Typical-example-of-the-MATLAB

实现在任意格式的图片中隐藏信息 联合开发网 - pudn.com

说明：  高嵌入维混沌负荷序列预测方法研究 对混沌理论的又一次研究(High load embedded chaotic series prediction)

混频向量自回归模型，用于处理混频数据，可以避免同频数据导致的信息缺失(mixfrequency VAR)

matlab code for reading segy files

sig is a parameter scaling the innovation to the exogenous variables

利用S函数的PID解耦控制器实现单元机组解耦控制(The use of S function decoupling PID controller to achieve decoupling control unit)

现需要在高度为600~700KM范围内，回归周期为30天的太阳同步轨道上布置一颗L波段的合成孔径雷达卫星。 1. 请设计合适的轨道参数，并仿真对应轨道下一个运行周期内星下点轨迹图（纬度和经度两个图）； 2. 计算多普勒中心频率，多普勒调频率与纬度的关系图（设姿态角为0°，天线视角20°~60°，推荐35°）； 3. 按高斯投影方式，将星下点轨迹图投影到地图坐标上。(Now requires a height of 600 ~ 700KM range, return period of 30 days are arranged on a sun-synchronous orbit L-band Synthetic Aperture Radar satellites. 1 Please design the appropriate orbital parameters and simulate the corresponding orbit within the next operating cycle nadir trajectories (latitude and longitude two graphs) 2. Calculate the Doppler center frequency, Doppler frequency and the relationship between latitude Figure (set attitude angle is 0, the antenna angle of 20 to 60, recommended 35) 3 Press Gauss projection, the nadir trajectories projected onto the map coordinates.)

地球物理大地电磁测深的正演代码，包含了有限差分、有限元等(magnetotelluric 2D forward finite element program)

研究表明超高斯分布更加贴近语音信号的实际分布，然而语音信号很难用单一的概率密度 函数准确描述，针对这一情况，提出了一种用超高斯混合模型对语音信号幅度谱建模的新方法，并推导了 基于此模型的幅度谱最小均方误差估的估计式。仿真结果表明：与传统的短时谱估计算法相比，该算法不 仅能够进一步提高增强语音的信噪比，而且可以有效减小增强语音的失真度，提高增强语音的主观感知 质量。 (Recent research indicates that the speech spectral amplitude distributions could be fairly described with super-Gaussian probability density function. However, the complexity of speech signal determines that the distribution statistics ofspeech signal could not be well described by single simple function. Thus a super-Gaussian mixture model for speech spectral amplitude is proposed, and with this model, a minimum mean-square error (MMSE) estimator for speech signals spectral amplitude is derived. The simulation results show that this algorithm based on Gaussian and super-Gaussian speech model could achieve better noise suppression and lower speech distortion as compared with the conventional short-time spectral amplitude estimation algorithm. )

配套数字图像处理源代码（冈萨雷斯）的所有程序。对学数字图像处理的有很大帮助(Complete source code for digital image processing (Gonzalez) in all programs. To the learning of digital image processing helps a lot)