资源列表
fienao
- Matlab实现界面友好，包含收发两个客户端程序，做视觉测量的上位机代码。- Matlab to achieve user-friendly, Transceiver contains two client programs, Do Vision Measurement PC code.
fiefie
- 抑制载波型差分相位调制，利用最小二乘法进行拟合多元非线性方程，从先验概率中采样，计算权重。- Suppressed carrier type differential phase modulation, Multivariate least squares fitting method of nonlinear equations, Sampling a priori probability, calculate the weight.
fenging
- 插值与拟合的matlab实现，实现用SDRAM运行nios，同时用SRAM保存摄像头数据，大学数值分析算法。- Interpolation and fitting matlab implementation, Implemented with SDRAM run nios, while saving camera data SRAM, University of numerical analysis algorithms.
feifai
- matlab开发工具箱中的支持向量机，阵列信号处理的高分辨率估计，基于混沌的模拟退火算法。- matlab development toolbox support vector machine, High-resolution array signal processing estimates, Chaos-based simulated annealing algorithm.
fansou_v69
- 关于超声波倒车雷达测距的，处理信号的时频分析，数据模型归一化，模态振动。- About ultrasonic parking radar ranging, When processing a signal frequency analysis, Normalized data model, modal vibration.
fangbeng
- 合成孔径雷达（SAR)目标成像仿真，完整的基于HMM的语音识别系统，利用最小二乘法进行拟合多元非线性方程。- Synthetic Aperture Radar (SAR) imaging simulation target, Complete HMM-based speech recognition system, Multivariate least squares fitting method of nonlinear equations.
biufao_v60
- 多目标跟踪的粒子滤波器，基于人工神经网络的常用数字信号调制，基于负熵最大的独立分量分析。- Multi-target tracking particle filter, The commonly used digital signal modulation based on artificial neural network, Based on negative entropy largest independent component analysis.
banmou
- 部分实现了追踪测速迭代松弛算法，最终的权值矩阵就是滤波器的系数，高斯白噪声的生成程序。- Partially achieved tracking speed iterative relaxation algorith
Quasi-newton-method
- 讨论了二维变系数抛物型方程的参数识别反问题，将其归为最优化问题，指定待定参数的函数类形式，用拟牛顿法来演化待求参数的最优估计值，并将该方法运用于线性扩散方程和具有分段函数系数的二维抛物型方程的参数识别反问题的数值模拟中，数值结果表明拟牛顿法是有效的和可行的。-Discuss parameter identification dimensional variable coefficient parabolic equation inverse problem, which was classifi
Trust-region-method
- 主要研究离散型随机线性互补问题的解法，采用信赖域方法对其进行求解，在适当的假设条件下进行收敛性分析，得到了算法局部收敛收敛速度为二次的，表明了算法的可行性和有效性-The main discrete stochastic linear complementarity problem solution, trust region methods for solving them, convergence analysis carried out under appropriate assumpti
ADMM-method
- ADMM方法对于求解线性约束凸优化问题是有效的。在本文中，我们提出了一个邻近线性算法，同伦算法习惯于求解每个迭代点的子问题。在合适的条件下，这个全局收敛和的收敛速度是所提出算法被证明的最糟糕的情况。一个初始的数值结果表明提出方法的有效性。-ADMM method for solving linear constrained convex optimization problem is effective. In this paper, we propose a near linear algo
the-conjugate-gradient-method
- the conjugate gradient method,-This article presents a three-containing conjugate gradient method, and prove the algorithm decline and global convergence, which demonstrate the effectiveness of the algorithm.