shuimohoudu

说明：  yYyong用matlab对数据的处理程序设计，极大多数的在一起。(jdfdshfsdfhsd)

MATLAB实现卷积运算。信号的相关运算。信号的加噪声，去噪声。为一个M头文件。(MATLAB realization of convolution. Signal-related operations. The signal plus noise to noise. M for a header file.)

发射角和到达角二维角度自动配对，其中主要解决一个angle函数的问题。(Emission angle and the angle of arrival automatically paired two-dimensional angle, which is mainly to solve a problem of angle function.)

matlab程序将传递函数通过Z变换使其离散化，然后再把得到的脉冲传递函数改写成差分方程。便于接下来一步的C程序编程。(matlab program will transfer function Z-transform them through discrete, then put the resulting pulse transfer function of a differential equation rewritten. Facilitate the next step of the C programming.)

说明：  ：该文首先研究了单认知用户能量检测算法的检测性能和检测灵敏度与检测时长和噪声短时间内平均功率波 动性之间的关系，得出检测性能和检测灵敏度随噪声短时间内平均功率波动性的增大而急剧下降的结论，在低信噪 比时尤为明显；针对检测性能和检测灵敏度随噪声短时间内平均功率波动性的增大而急剧下降，提出了基于多用户 协同能量检测算法。仿真表明，在低信噪比环境下，即使噪声短时间内的平均功率存在较大的波动性，只要适当地 增加协同检测的用户数，仍可获得较为准确的检测性能。(In this paper, detection performance and detection sensitivity with detection duration and noise average power fluctuation in short time is investigated firstly. Performance accuracy and detection sensitivity drop quickly with noise average power fluctuation increasing and it is worse when signal-to-noise ratio lower. Considering the characteristic, a novel new energy detection algorithm based on cooperative is presented. Simulations show that the proposed scheme improves antagonism of noise average power fluctuation in short time and gets a good detection performance as long as increasing the number of cooperative detection users.)

该程序利用多相滤波结构实现了宽带信号的信道化，相比传统信道化方法，节省了资源，提高了效率。(The program uses the polyphase filter structure to achieve a broadband signal channelization, compared to traditional methods channel, save resources and improve efficiency.)

matlab数字图像处理，关于角点特征检测的内容(matlab digital image processing, feature detection on the corner of contents)

矩阵变换器永磁同步电机矢量控制，运行性能优良(matrix converter PMSM motor vector control)

original figure of ccd camera output

一个拟合椭圆的程序，采用matlab编程，利用均值误差作为代价函数。(A fitting elliptical procedures, the use of matlab programming, using the mean error as the cost function.)