资源列表
Threeways_noise_removingof-svd
- 基于奇异值分解的一维噪声处理，分别用了三种阈值做了对比，希望对您有所帮助！-Based on singular value decomposition of the one-dimensional noise process, three thresholds were used to do a comparison, I hope for your help!
wavelet_FISTA
- Guide to the MATLAB code for wavelet-based deblurring with FISTA
epoxilaminate4N
- 复合材料的优化,内容里边有很好的描述以及很多的计算实例,适合进阶学习-Objective of this Matlab s program was researched optimization analysis of laminated composite plates for determined the ultimate strength and stress effects of plate s under the regular and uniform out-loads. There
leijiaFFTjiancegailv
- 基于FFT的非相关累加捕获伪码，并计算各个信噪比下的检测概率。-FFT-based non-related pseudo-code cumulative capture and calculate the probability of detection under various signal to noise ratio.
FEM
- 用matlab求解有限元计算，对使用有限元方法计算的内部过程有更深的了解-Using matlab to solve finite element, finite element method for the use of a deeper understanding of internal process
em-algorithm-for-gmm
- 基于高斯混合模型(GMM)的em算法，给出了其matlab实现-em algorithm for GMM
HeatTransport
- 数值方法计算传热问题实例 边长为200×200mm的二维矩形材料内的稳态温度分布。上侧和左侧维持恒壁温；下侧为绝热；右侧为对流换热条件。具体参数为： 材料的导热系数=20w/m• k； 上侧温度t1=100℃ 右侧流体温度tf=20℃ 表面传热系数 h分别为1w/m2• k和100 w/m2• k 左侧温度t2=20℃ 下侧绝热-Numerical method to calculate the heat transfer problem
MCPFSK--simulation
- 用Matlab软件实现CPFSK信号在AWGN环境下的性能仿真-CPFSK signals using Matlab software performance in the AWGN environment simulation,
exact_alm_rpca
- 增广拉格朗日乘子法，用于解决有损低质矩阵的恢复-The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices
respm
- 采用线性加速度法求地震波的反应谱，可同时求加速度、速度、位移反应谱以及放大系数-Method for the linear acceleration response spectrum of seismic waves, which can find the acceleration, velocity and displacement response spectra and amplification factor
linedr
- 采用集中质量法求解水平成层场地的地震响应，其中包含newmark求解动力方程-Quality level of a centralized method for solving the seismic response of layered space, solving the dynamic equation which contains newmark
Abnormal-height-fitting
- 对含有粗差的高程异常值进行丹麦法抗差估计 并绘制结果图-Containing gross errors of the Danish Act height anomaly values and plot the results of robust estimation map