Mapping-General-Elastic-Coefficient

一本关于matlab信号处理很好的教程，书中涵盖了信号处理所能用的所有程序(A good tutorial on matlab signal processing, the book covers all the signal processing program that can be used)

Inverse mathematical pendulum

mimo-ofdm的信道估计，能够仿真通顺(Channel estimation for a MIMO-OFDM system)

采用算术编码、汉明编码和QASK调制方法 采用Huffman编码、卷积译码和QFSK调制方法(Using arithmetic coding, Hamming coding and modulation method used QASK Huffman coding, convolution decoding and modulation method QFSK)

LZ复杂度反映的是一个时间序列中，模式数量序列长度增加的速率。为了在计算机上对连续信号的复杂度进行计算，需要先将连续信号离散化，通过预处理后的心音信号符合这个要求。实现心音信号的分离(LZ complexity reflects a time series model number sequence length to increase the rate. For a continuous signal on the computer, the complexity of the calculation, you need to first discretize the continuous signal by pretreatment of the heart sound signals meet this requirement. To achieve the separation of heart sound signals)

偏振图像目标识别算法，根据四个方向的偏振信息，识别目标，内含偏振图片(Polarization image target recognition algorithm, according to the four directions of polarization information, identify targets, containing polarizing picture)

说明：  首先，建立两个模拟信号的数学模型 有用信号 干扰信号。两个信号的中心频率、信号带宽等参数由学生自己选定，要求两个信号的频谱不重叠 分别画出三个模拟信号的时域波形和频谱图；然后，根据x_a (t)的中心频率和带宽，按照奈奎斯特采样定理选择采样频率fs，分别对信号s_a1 (t)、s_a2 (t)、x_a (t)进行时域采样，得到离散信号s_1 (n)、s_2 (n)、x(n)。利用FFT算法分析离散信号的频谱，分别画出三个离散信号的时域波形和频谱图； 接着，设计数字滤波器H(z)，要求该滤波器对干扰信号s_2 (n)的衰减大于40dB。提出滤波器的设计指标，并设计滤波器，给出滤波器的设计结果，绘制滤波器的幅频特性和相频特性曲线，验证滤波器的设计结果是否达到设计指标要求；此外，选择实现数字滤波器H(z)的结构，画出滤波器结构信号流图；然后，将合成信号x(n)输入数字滤波器H(z)，按照所选择的滤波器结构，设计计算机程序计算滤波器的输出响应y(n)，画出y(n)的时域波形和频谱图；(the synthetic signal x (n) is input into the digital filter H (z). According to the selected filter structure, a computer program is designed to calculate the output response y (n) of the filter, and the time-domain waveform and spectrum diagram of Y (n) are drawn)

image file will rotate and give you translational matrix

Simple two path Rayleigh fading channel

用Matlab对随机语音信号进行处理，编制基于GUI格式的随机信号处理工程(Using Matlab to random voice signal processing system based on GUI format, the random signal processing engineering )