OFDM_with_LDPC

天文导航方向，导航信号转化为星历表信息Matlab程序。(The direction of celestial navigation, navigation signal into Matlab ephemeris information procedures.)

本程序用matlab编写，采用MAPSO来求解IEEE标准40节点电力负荷分配问题(The program written using matlab MAPSO to solve the 40-node IEEE standard power load distribution)

ESPRIT是“Estimating signal parameters viarotational invariance techniques”的缩写，含义是“借助旋转不变技术估计信号参数”，它是由Roy[221等人于1986年提出的另一种基于子空间的DOA估计方法。 应用领域 　　侧向定位 信号处理 思想 　　ESPRIT的思想在于，将传感器阵列分解为两个完全相同的子阵列，两个子阵中每两个相对应的阵元具有相同的平移，即要求阵列具有平移不变性，每两个位移相同的阵元匹配成对。所幸的是实际中许多阵列满足这个条件，比如等距直线阵。(ESPRIT is "Estimating signal parameters viarotational invariance techniques" acronym, meaning "With ESPRIT estimation of signal parameters", it is by Roy [221, who in 1986 proposed DOA estimation method based on subspace another. Applications Lateral positioning signal processing Thinking ESPRIT thinking that the sensor array is divided into two identical sub-arrays, each of the two sub-arrays of two corresponding array element has the same translation, which requires an array with translation invariance, the displacement of each of the two identical arrays yuan matching pairs. Fortunately, many of the actual array satisfy this condition, such as equidistant linear array.)

Bayesian Model Selection

提供了蓝牙纠错编码的matlab仿真程序(Bluetooth error correction coding provides a matlab simulation program)

采用功率谱方式并用AR线性滤波方法生成脉动风速时程数据，能用于结构风载荷的计算。(Using power spectrum and AR linear filtering method to generate fluctuating wind speed time series data, can be used in structure wind load calculation.)

有信道编码，调制，信道估计等，包括最小二乘法、SVM、神经网络、1_k近邻法,通过matlab代码。( Channel coding, modulation, channel estimation, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, By matlab code.)

M-file for analog communication Single side band...

《matlab应用大全》赵海滨编著，清华大学出版社，主讲数组与矩阵分析(The application of matlab Zhao Haibin compiled, tsinghua university press, speaker array and matrix analysis)

本程序适用于论文metasample-based sparse representation for tumor classification(this code suite for paper metasample-based sparse representation for tumor classification)