MIMO-channel-matlab

io重叠中的完成实例模型，典型代码，ioCallBack源码(io complete overlap in the model example of a typical code, ioCallBack source)

iir filter design low pass and high pass filters ...butterworth and chebyshev

matlabcontourlet变换结合了不可分离的方向滤波组,具备小波所不能表达的多方向特性,能有效捕获自然图像的边缘轮廓信息。本文分析了图像ontourlet系数的统计特征,并利用广义高斯函数对各子带系数层进行建模。将此模型应用于基于VisTex的自建纹理图像库,采用矩匹配估计法,提取模型参数集,运用K2L (matlab)

photogerametry project systematic errors

射频技术上的一些MATLAB实现的例题 希望对大家学习RF技术有帮助(RF)

实现matlab与usb接口进行通讯，并将数据进行显示(Achieve matlab communicate with usb interface, and data display)

Hermite插值多项式拟合Matlab程序。运用Matlab软件依据理论可画出Hermite插值图像，并求出Hermite多项式，并应用到实际问题中。(Hermite interpolation polynomial fitting Matlab program。Using Matlab software can be drawn based on the theory Hermite interpolation image, and find Hermite polynomials, and applied to practical problems.)

说明：  每个传感器具有一定的范围和精度，而且周围环境可能对它们产生干扰。即单传感器只能提供部分不精确的信息，从而不能排除对外界环境描述的歧义性。鉴于各传感器性能上的差异表现出的互补性，如果综合各个传感器的信息，就能得到比单一传感器所能提供的更准确可靠的信息。简言之，与单一传感器相比，多传感器数据融合由于信息的冗余性和互补性存在很多方面的优势。 多传感器融合(Each sensor has a certain range and accuracy, and the surrounding environment may interfere with them. That is to say, a single sensor can only provide some inaccurate information, so it can not rule out the ambiguity of the description of the external environment. In view of the complementarity of the differences in the performance of each sensor, if we synthesize the information of each sensor, we can get more accurate and reliable information than a single sensor can provide. In short, compared with a single sensor, multi-sensor data fusion has many advantages due to the redundancy and complementarity of information.)

说明：  噪声主动控制之基于随机梯度的格型滤波算法；基于随机梯度的格型滤波算法(Active noise control based on stochastic gradient lattice filter algorithm based on stochastic gradient lattice filter algorithm)

MATLAB STREL UNCTION MATLAB CODE IN IMAGE PROCESSIG