clear-sceern

说明：  mimo信道及建模仿真，有matlab源码(mimo channel and modeling and simulation, source code with matlab)

能将日常生活中拍照不小心带来的红眼DAI而给图片造成不美的麻烦给消除掉了。(Photos in daily life can be careless red-eye DAI brought to the picture caused by the United States trouble eliminated . )

说明：  matlab实现霍夫曼编码，计算编码效率并分析结果(matlab huffman code)

较详细介绍了MATLAB的在数学中的各种应用，欢迎下载交流。(MatlAB)

一个研究声多普勒计程仪很好的工具箱，不过我没有用过。(a study Acoustic Doppler- NG good toolbox, but I never used.)

This getting started exercise will guide you through the step-by-step process of transforming a MATLAB floating-point model into a hardware module that can be implemented in silicon (FPGA or ASIC). The design is a general purpose FIR filter taken from the AccelDSP Examples directory.(This exercise will guide y ou through the step-by-step process of transfo rming a MATLAB floating-point model into a hard ware module that can be implemented in silicon ( FPGA or ASIC). The design is a general purpose FI R filter taken from the AccelDSP Examples direc tory.)

多目标优化————工程项目的多目标资源成本工期优化(Multi-objective optimization---- multi-objective of the project resource cost and time optimization)

一种具有提示功能的文本框，可以根据实际使用进行重新，具有很好的参考价值(A text box with prompts that can be re-based on actual use, a good reference value)

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 ,)

matlab-rtw实验例程matlab-rtw实验例程matlab-rtw实验例程(matlab real time)