RS223_CONV_BPSK_simulink

chebshev窗函数，包括等旁瓣级，任意主瓣宽度两个程序(chebshev window function,including side-lobe level and main-lobe width)

第04讲MATLAB语言基础-数字图像处理课件-matlab语言基础，很适合做图像如理入门使用，(Digital image processing based on matlab language courseware), such as introduction to use, very suitable for image series 1)

任务： 1） 借助MATLAB画出误差性能曲面和误差性能曲面的等值曲线（参考PPT2.1第17页的两幅图）； 2） 写出最陡下降法以及LMS算法的计算公式（取 ）； 3） 用MATLAB产生方差为0.05, 均值为0白噪音S(n)，并画出某次采样得到的波形（即产生任意一个噪声随机序列）； 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（参考PPT2.1第17页的右下图的曲线1和曲线2）。 5）用MATLAB计算并画出LMS法时 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； 注意：某一次实现的结果并不能从统计的角度反映实验的结果 的正确性，为得到具有统计特性的实验结果，可用足够多次的 实验结果的平均值作为实验的结果。用MATLAB计算并画出 采用LMS法时，J(n)的100次实验结果的平均值随时间n的变 化曲线（即 生成随机噪声信号并计算结果，重复执行100次， 求平均结果）。 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； (Task: 1 ) Draw with MATLAB error performance surface and surface contour error performance curve ( refer PPT2.1 two chart on page 17 ) 2 ) Write the steepest descent method and the LMS algorithm formula ( take ) 3 ) Using MATLAB to generate variance of 0.05 with a mean of 0 white noise S (n), and draw a particular sampling waveform ( ie, any noise generated random sequence ) 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 plot using the steepest descent method and the LMS method when H (n) the iterative process in the trajectory curve ( refer PPT2.1 page 17 bottom right of the curves 1 and 2 ) . 5 ) using MATLAB LMS method is used calculate and draw the curve with time n (corresponding to S (n) of a first implementation of a ) and e (n) waveform Note : in a first implementation of the results are not reflected from a statistical point of view of accuracy of the experimental results ,)

说明：  Path Planning for Coalmine Rescue Robot based on Hybrid Adaptive Artificial Fish Swarm Algorithm

机械臂正运动学，工作空间,包括5个文件，kongjian.m为运行文件，R_x.m为绕x轴转动变换矩阵，T_m.m为平移变换矩阵(Forward kinematics workspace)

对振动信号进行时域分析，得到模态参数的方法。(The vibration signal in time domain analysis, modal parameters.)

Orthogonal Frequency Division Multiplexing(OFDM) signal simulation(Orthogonal Frequency Division Multiplex ing (OFDM) signal simulation)

K-MEANS 算法matlab版本 注释详尽(K-MEANS algorithm matlab detailed release notes)

分析了灰度图像的脂质体，并产生不同的大小和形状参数。(This function analyses grayscale .tif images of liposomes (or any round shaped particles). This function applies to the image: 1. Histogram Equalization. 2. Low Pass Filter (variable size, default size 12). 3. Illumination Equalization (default size 120). 4. Thresholding (user input). 5. Removing Edge Particles (user input). 6. Removing Edge Particles (by size, user input). 7. High Pass Filter (default size 3). 8. Size Analysis. Default: Orientation , MinorAxisLength , MajorAxisLength , Centroid , Area . 9. Final artifact removal (user input). The output is a .txt file with a table containing all the parameters. An example is provided with the code. )

field ii windows下软件开发包，超声仿真成像(field ii Software Development Kit)