0-1matlab

butt,cheb1,cheb2,elip四种常见的IIR滤波器使用小例子(butt, cheb1, cheb2, elip four common small example of the use of IIR filters)

用matlab实现的对一阶系统实现的预测函数控制，能有效的处理小扰动，效果非常理想。(Achieved with the matlab implementation of the first-order predictive functional control system can effectively deal with small perturbations, the effect was very good.)

surf算法对导入的图像在视频里做匹配，方框标记出来, 清晰易懂(use SURF detector to match object of interest )

MATLAB7.0基础教程，其中包括很多实例，对学习此软件很有帮助(MATLAB7.0 based tutorial, including many instances, this software is very helpful to the study)

说明：  采用DCS-SOMP算法对宽频信号进行重构 L1-SVD算法对低信噪比下的信号进行重构(Compressed sensing DCS-SOMP algorithm is used to reconstruct wideband signals L1-SVD algorithm for low SNR signal reconstruction)

下拉框Combox例子的实现，里面包含insertItem和信号槽(The implementation of the Combox example，including insertItem and signal channal)

本文算法是将24 位真彩图的亮度分量分块 DCT ,然后利用DCT 量化系数的奇偶特性嵌入8 位灰度水印图,并通过PN 序列加密来保证水印的 安全性。算法中,将灰度图像转换为二进制数据 流,置乱后扩频调制,隐藏在宿主DCT 系数量化值 中,提取时不需要宿主信号,实现水印信号的盲提 取。(This algorithm is 24-bit true color pictures of the luminance component of block DCT, quantization DCT coefficients and then use the parity properties of 8-bit grayscale watermark embedding map, and through the PN sequence of encryption to ensure the security of the watermark. Algorithm, the gray image into binary data stream, scrambling after the spread spectrum modulation, hidden in the host DCT coefficient quantization values, the extraction does not require the host signal, the blind watermark extraction.)

MIMO雷达模型下一种子空间谱估计方法，采用过估计的方法，以避免信源数估计的问题，直接对数据协方差矩阵进行变换，从而构造了信号子空间投影矩阵和噪声子空间投影矩阵，不需要像经典的MUSIC一样对其进行特征分解，完全避开了在一般非理想情况下MUSIC算法必须面对的识别小特征值与大特征值的麻烦，降低了复杂度，而且该方法不受快拍数的影响，在相干源情况下也能准确的估计目标的入射角，不会出现伪峰。(A subspace based DOA (Direction-Of-Arrival) estimation method for MIMO (Multiple-Input Multiple-Output) radar is studied in this paper. By transforming the data covariance matrix, we can construct the projection matrix of signal subspace and noise subspace. The computation complexity of the algorithm is reduced as it does not need to perform eigendecomposition. By using the over estimated theory, this algorithm avoid estimating the number of signal sources and can keep a good estimate performance in the case of lower SNR (Signal-to-Noise Ratios) and multi-target. )

transformation from an arbitrary state-space representation to the modal 2 state-space representation

使用C语言写的捷联惯导解算程序，四子样旋转矢量(Using C language to write the strapdown inertial navigation program, four sample rotation vector)