jiandanMatlabdaima

this is the toolbox for an ECg signal

包括四个.m文件，采用16QAM调制，添加循环前缀与后缀，加窗处理，防震性能很好。(Including four. M files using 16QAM modulation, add cyclic prefix and suffix, window treatment.)

PCM编解码（Pulse-code modulation），即脉冲编码调制）(PCM codec (Pulse-code modulation), Pulse Code Modulation))

converts binary to decimal and decimal to binary

精通matlab图像处理，书籍配套源码资料(Proficient in matlab image processing, books supporting source data)

Lyapunov exponent of Lorenz equation

基于类间最大距离的阈值处理方法对一幅彩色图像进行图像分割(Between class thresholding method based on a maximum distance of a color image segmentation)

建立了基于MATLAB语言的七段译码器的仿真模型，通过了系统验证。(MATLAB language is established based on the seven-segment decoder simulation model validation by the system.)

用于稀疏分解的优化搜索算法，版权属于Patrick S. Huggins and Steven W. Zucker（Yale University）(sparse for the decomposition of optimization search algorithm, Copyright belongs to Patrick S. Huggins and Steven W. Zucker (Ya le University))

针对传统α － β 滤波算法不够有效跟踪机动目标的问题， 详细分析了其内在原因， 提出一种改进的α － β 滤波算法。该算法不需要假定目标的机动模型， 而是将目标的机动加速度作为滤波状态直接估计出来， 将估计加速度作为输入控制量引入到传统α － β 滤波器的状态估计方程中进行机动目标的跟踪。然后将它与传统α － β 滤波算法进行比较， 证明了新的算法不仅具有传统算法计算量小的优点， 而且还可以对机动目标进行实时跟踪。仿真结果表明， 新算法在综合性能上明显优于传统算法。(In view of the problem that the traditional alpha beta filtering algorithm is not effective in tracking the maneuvering target, the internal reason is analyzed in detail, and an improved alpha beta filtering algorithm is proposed. In this algorithm, the maneuvering model of the target is not assumed, but the maneuvering acceleration of the target is estimated directly as the filter state, and the estimated acceleration is introduced into the state estimation equation of the traditional alpha beta filter to track the maneuvering target in the state estimation equation of the traditional alpha beta filter. Then compared with the traditional alpha beta filtering algorithm, it is proved that the new algorithm not only has the advantages of small computation in the traditional algorithm, but also can track the maneuvering target in real time. The simulation results show that the new algorithm is superior to the traditional algorithm in terms of comprehensive performance.)