MATLAB 三轴加速度信号处理

说明：  8. 单径瑞利信道中的四发四收V-BLAST： (1) 请设计一种具体的导引辅助的信道估计方法，用Simulink进行仿真，测量16QAM调制时的误码率性能。画出比特信噪比与信道估计均方误差的关系曲线，画出比特信噪比与误码率的关系曲线。 (4 Explain the working principle of convolutional encoding and decoding. Please use the Simulink simulation convolutional coding and Viterbi decoding method used to decode, in which the encoding, decoding all 8 single-path Rayleigh channel of the four rounds of four closed V-BLAST: (1) Please design a specific The guide-assisted channel estimation method, using Simulink for simulation, measurement 16QAM modulation bit error rate performance. Draw-bit signal to noise ratio and channel estimation mean square error curve, draw-bit signal to noise ratio and bit error rate curve.)

主要是用于产生ofdm当中有关信道的相关内容(OFDM is mainly used to produce them on the channel content)

说明：  简单的 关于图像的二值化 锐化 滤波 基本能实现 算出不变矩！！！！！关于图像检索(Simple binary on the image sharpening filter can basically figure out the same moment to achieve! ! ! ! ! About Image Retrieval)

MATLAB教程(图形图像处理及MATLAB实现)-清华大学出版社(MATLAB Tutorial (graphics, image processing and MATLAB realization)- Tsinghua University Press)

编写的灰关联算法 MATLAB实现简单代码(The preparation of the gray relational algorithm simple MATLAB code)

用乘同余法产生随机数 ,产生的(0-1)均匀分布的随机序列 白噪声产生程序,用乘同余法产生(Produced by the same method with more than random number generated (0-1) uniformly distributed random sequence white noise generation process, with the method generated by congruence)

Transform two case , the one case 1 is Fourier the 8X8 size and then use the mask to clear the high fitter . the second case 2 is cosine the 8X8 size and then use the mask to clear the high fitter .

说明：  用0tsu方法和梯度算法分别对图像进行边缘提取(Use 0tsu method and gradient algorithm to extract the edge of the image respectively)

利用神经网络BP算法训练下列神经网络模型。 1. y = cosx 2. y = |sinx| 3. 4. (Neural network BP algorithm training following neural network model. 1. Y = cosx 2. Y = | sinx | 3. 4. )

该算法一种结合改进的基于独立分量分析（ICA）提取算法和基于多层感知器和单向二叉决策树的多类支持向量机分类方法。(The algorithm is a combination of improved based on independent component analysis (ICA) algorithm and multi-class support vector machine classification method based on binary decision tree of the multilayer perceptron and unidirectional.)