matlab-codes-for-wcdma-simulink

说明：  视频监控中，基于matlab的视频跟踪源代码(Video surveillance, video tracking based on source code matlab)

多址干扰一直是造成cdma系统容量限制的重要原因，本程序主要模拟了多址干扰对每个用户的影响以及把多址干扰作为高斯白噪声看待时对用户的影响(MAI has been caused CDMA system capacity limit of the important reasons the procedures simulated the MAI for each user to the effects of MAI as a Gaussian white noise when users view the impact)

无约束优化程序解决数值优化问题。在优化算法中有重要作用。(Optimization procedures for solving numerical optimization problems. In the optimization algorithm has an important role.)

研究表明，构成K一L变换矩阵的向量也就是ToePhtz矩阵的特征向量。与此同时，离散 余弦变换矩阵逼近于ToePutz矩阵的特征向量矩阵，所以离散余弦变换矩阵与自然图像的 K一L变换矩阵十分相似。经过离散余弦变换后的变换系数块的协方差矩阵Cy非常接近对角 阵，即除了对角线元素以外，其它很多元素都近似为0，并且在左上角集中了主要能量。这 反映了自然图像大部分区域变化不大，亮度突变只占少数，即图像能量以低频成分为主的特 性。通过变换后的量化，舍弃对视觉效果影响较小的次要信息，可达到进一步的压缩效果。 虽然从去相关性能的意义上讲，DCT是一种次于K一L变换的准最佳变换，但是从算法实现的角度来看，DCT则远远优于K一L变换。首先，当图像的分块大小确定后，DCT的变换矩阵也就随之确定了，不随输入信号的统计特性变化而变化 其次，二维DCT能够分解成两次一维DCT，有利于硬件实现。 (Studies have shown that constitute a K L transformation matrix vector is ToePhtz eigenvector of the matrix. At the same time, discrete The cosine transform matrix approximation in ToePutz matrix eigenvector matrix, so the discrete cosine transform matrix and natural images Is very similar to a K L transformation matrix. After discrete cosine transform, the transform coefficient block of Cy is very close to the diagonal of covariance matrix Matrix, namely except diagonal elements, many other elements are approximate to 0, and focused the main energy in the upper left corner. this Reflects the natural images most area changed little, brightness mutations accounted for only a few, the energy is given priority to with low frequency components of image Sex. Through quantitative after transformation, abandoning smaller effect on the visual performance of secondary information, can achieve further compression effect. Although from related to the performance of the sense, DCT is a kind o)

pwm Igbt model in matlab simulink

Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value) of each column and row. Then get each row and column that has the maximum number of these black pixels. Then determine the center by simple calculation according to the image coordinate to set it correct on the image, consequently we can determine the radius of the pupil. Thus we can find the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms of circle and ellipse.

4-ary LDPC matlab code

说明：  1） 这是一个基于MATLAB的FMCW射频雷达模拟器。 2） 它产生FMCW雷达，用于近距离的手波啁啾电平信号数据。 3） 你可以尝试在这个模拟器上开发你的雷达数据处理算法。 4） 作为一个查伦奇，你能开发你的算法来检测手写方向：左或右。 5） 在matlab中运行main.m开始尝试。(1) This is a MATLAB based FMCW RF Radar Simulator. 2) It generates FMCW radar for close handwave chirp level signal data. 3) Your can try develop your radar data processing algorithm base on this simulator. 4) As a charllenge, can you develope your algorithm to detect the handwave directions: LEFT or RIGHT. 5) Run main.m in matlab to start trying out.)

这是个统计模式识别工具箱，是各种统计模式识别算法用matlab语言的实现。(The Statistical Pattern Recognition Toolbox is a collection of pattern recognition (PR) methods implemented in Matlab.)

飞思科技《Matlab7基础与提高》书籍源码，希望对大家有用(Fly think technology "Matlab7 foundation and improve" books, the useful source code)