Mid

把整个频率范围中的某段重点频区局部放大，获得比整个频率范围高的频率分辨率，从而观察频谱中的细微部分(The entire frequency range of the frequency of certain key areas enlarged to obtain the entire frequency range than the high frequency resolution, and thus observe the subtle part of the spectrum)

matlab lecture note 3. by KAIST

利用风洞试验中采集到的风压时程数据来计算平均风速剖面(Using the wind pressure time history data collected from the wind tunnel test, the mean wind velocity profile is calculated)

定向能武器相关的文章 学习新的军事技术的好文章 了解知识(directed-energy weapons-related articles to learn new military technology in good understanding of knowledge)

We address the problem of blind carrier frequency-offset (CFO) estimation in quadrature amplitude modulation, phase-shift keying, and pulse amplitude modulation communications systems.We study the performance of a standard CFO estimate, which consists of first raising the received signal to the Mth power, where M is an integer depending on the type and size of the symbol constellation, and then applying the nonlinear least squares (NLLS) estimation approach. At low signal-to noise ratio (SNR), the NLLS method fails to provide an accurate CFO estimate because of the presence of outliers. In this letter, we derive an approximate closed-form expression for the outlier probability. This enables us to predict the mean-square error (MSE) on CFO estimation for all SNR values. For a given SNR, the new results also give insight into the minimum number of samples required in the CFO estimation procedure, in order to ensure that the MSE on estimation is not significantly affected by the outliers.

多分类支持向量机实现方法的分析比较：一对一、一对多和DAG的对比，比较专业，(more SVM method of comparison : one-to-one, one-to-many and DAG contrast, more professional-huh)

Matlab code to perform MIMO ZF, MMSE, VBLAST and ML Decoding

通过matlab的simulink进行模糊PID控制，里面包括了3个模型，分别是bjjtKT模型， JbTreZD 模型和模糊控制核心算法模型，每个模型的fuzzy控制模块都是通用的，可以移植到其他环境。? (Fuzzy PID control through matlab s simulink, which includes three models, each model isbjjtKT , JbTreZD core model and fuzzy control algorithm model, fuzzy control module for each model is generic and can be ported to other environments. )

用镜像矩阵求出矩阵的QR分解（正交三角分解），并求解线性方程组，该方法不必选主元，但其计算过程非常稳定。也可用于求矩阵的广义逆和求解线性最小二乘问题。子过程QRDCMP用镜像矩阵求m*n矩阵A的QR分解，A=Q^TR,其中Q是m*m正交矩阵，R为m*n上三角矩阵；子过程QRBKSB用矩阵的QR分解求解线性方程组Ax=b，其中A为n阶非奇异方阵。(Matrix obtained with the mirror matrix QR decomposition (orthogonal triangular decomposition), and solving linear equations, the method does not have to choose the main element, but its calculation process is very stable. Can also be used to find the generalized inverse matrix and solving linear least squares problems. Sub-process of the mirror matrix QRDCMP m* n matrix A QR decomposition, A = Q ^ TR, wherein Q is a m* m orthogonal matrix, R is m* n upper triangular matrix subprocess QRBKSB a QR decomposition to solve the matrix linear equations Ax = b, where A is non-singular square matrix of order n.)

Numerical Methods in Engineering with Matlab by Jaan Kiusalaas