gpclass

something about physics

this code is used to solve nonlinear equations using Newton, Bisection, secant methods.

MATLAB学习实例，通过实例详细讲解如何使用MATLAB语言进行编程(Study examples of MATLAB through examples to explain in detail how to use the MATLAB programming language)

基于当前统计模型的目标跟踪算法，就用卡尔曼滤波器，目标跟踪和数据整合类的同志可下(Based on current statistical model of the target tracking algorithm using Kalman filter, target tracking and data integration can be under the category of Comrade)

ordeig.m——主程序，调用后两者，计算特征值，按顺序排列，使虚部递减 pois.m ——对于平面Poiseuille流通过切比雪夫你拟谱法离散化生成O-S矩阵 Dmat.m ——求解切比雪夫微分矩阵 (ordeig.m main program, after calling two, computing eigenvalues ​ ​ in sequence, so that the imaginary part of diminishing pois.m- for plane Poiseuille flow through Chebyshev spectral method you intend to generate discrete OS matrix Dmat.m- Solving Chebyshev differentiation matrix)

基于伪随机序列的DS-CDMA系统性能分析(Basic framework-based communication system, DS-CDMA system performance analysis...)

针对非圆信号DOA估计问题,提出了一种基于实值特征值分解 (Eigenvalue decomposition,EVD)的求根MUSIC算法.首先利用非圆信号为实值信号的特点,将阵列上的接收数据及其共轭用欧拉公式转换为实值正弦与 余弦数据,然后将正弦与余弦数据进行串联,从而扩展了数据维数.由于采用实值矩阵的EVD,因此在EVD阶段的运算量简化为复值EVD的1/4.根据 EVD后获得的信号与噪声子空间的特点,对噪声子空间和导向矩阵进行重构以便于可以使用求根MUSIC算法获取对DOA的估计.仿真实验验证了本文算法的 有效性(For the estimation of noncircular signals of DOA, proposes a decomposition value based on real valued features (Eigenvalue decomposition, EVD) the root MUSIC algorithm. Firstly, characteristics of non circular signals for real valued signals, the array data and its conjugate with the Euler formula into real value of sine and cosine and sine and cosine data. The data series, thus expanding the dimension of the data. Because of the use of real valued matrix computation in EVD, so the EVD stage was simplified as a complex valued EVD 1/4. according to the characteristics of signal and noise subspace is obtained after EVD, the noise subspace and orientation matrix reconstruction in order to facilitate the use of DOA can obtain the estimated root MUSIC the algorithm. The simulation results verify the effectiveness of the proposed algorithm)

MIMO——OFDM系统仿真，信道模型建立，信道容量计算，误比特率计算算法，信道自适应选择算法等，还有(MIMO- OFDM system simulation, channel modeling, channel capacity calculation, bit error rate calculation algorithm, adaptive channel selection algorithm, as well as)

说明：  属于一群算法，用于通用性解决最短路径问题，方便快捷。(Belongs to a group of algorithms for solving shortest path problem versatility, convenience)

计算AR模型的参数，包括滤波、去趋势化、AIC判断阶数、计算AR模型系数。(Calculation AR model parameters, including filtering, detrended, AIC judgment order to calculate the AR model coefficients.)