CSRec_SP

matlab fft codes by Maathworks

说明：  FFT的MATLAB ，很有学习价值，很实用(FFT in MATLAB, the value of great learning, it is useful)

人工鱼群算法供初学者下载学习，有错误的地方尽情修正(Download artificial fish school algorithm for beginners to learn, there are amendments to the wrong place enjoy)

matlab环境下ofdm在瑞利衰落信道中的仿真(matlab ofdm rayleigh)

多个布朗运动的MATLAB程序例，可以作为参考(The MATLAB program for multiple Brown movements can be used as a reference)

Original code for OFDM chain applicated to wireless standard

说明：  Rosen梯度法求解约束多维函数的极值用matlab实现(Rosen gradient method for solving constrained multi-dimensional realization of the function extreme value with matlab)

[IOVS]2011 Shadow Removal and Contrast Enhancement in OCT Images of the Human Optic Nerve Headl的实现matlab代码，医学图像增强([IOVS] 2011 Shadow Removal and Contrast Enhancement in OCT Images of the Human Optic Nerve Headl realization of matlab code medical image enhancement)

传统的宽带信号中抑制正弦干扰的方法是采用陷波器(notch filter),为此需要精确知道干扰正弦的频率.然而当干扰正弦频率是缓慢变化时,且选频率特性要求十分尖锐时,则最好采用自适应噪声抵消的方法.下图是用一个二阶FIR的LMS自适应滤波器消除正弦干扰的一个方案。该代码实现了以下功能： 1) 借助MATLAB画出了滤波器的误差性能曲面和误差性能曲面的等值曲线； 2） 给出了最陡下降法以及LMS算法的计算公式； 3） 用MATLAB产生了方差为0.05, 均值为0白噪音S(n)，并画出某次采样得到的波形； 4） 根据 2）中的公式，并利用 3）中产生的S(n)，在 1）中的误差性能曲面的等值曲线上叠加画出了采用最陡下降法以及LMS法时H(n)的在叠代过程中的轨迹曲线； 5）用MATLAB计算并画出了LMS法时误差随时间n的变化曲线（对应S(n)的某一次的一次实现）和e(n)波形； 6）在 1）中的误差性能曲面的等值曲线上，叠加画出采用LMS法得到的100次实验中的H(n)的平均值的轨迹曲线； 7）最终对结果进行了分析，具体见压缩包的word文档。 (Wideband signal in the conventional sinusoidal interference suppression method is the use notch filter (notch filter), this requires precise knowledge of the frequency of a sinusoidal interference . However, when the interference frequency sinusoidal changes slowly , and the selected frequency characteristic requirements are very sharp , then best use of adaptive noise cancellation method . following figure is a second-order FIR LMS adaptive filter to eliminate a program sinusoidal interference . The code implements the following functions:   A ) draw with MATLAB error performance of the filter surface and the surface contour error performance curve 2 ) gives the steepest descent method and the LMS algorithm formula 3 ) generated using MATLAB variance of 0.05 with a mean of 0 white noise S (n), and draw a particular sampling waveform 4 ) based on 2 ) of the formula , and use 3 ) generated in S (n), in a ) the error performance curves superimposed on the surface contour pl)

CMA WITH N EQUAL TO 8,4,20