sparse_uca_root_music

CDMA技术培训资料，希望对学习CDMA的同学有帮助！(CDMA technical training material)

随机过程中的possion算法在matlab中的实现例程(random process of possion algorithm in Matlab routines to the realization)

说明：  最速下降法是迭代法的一种,可以用于求解最小二乘问题(线性和非线性都可以)。在求解机器学习算法的模型参数，即无约束优化问题时，梯度下降（Gradient Descent）是最常采用的方法之一，另一种常用的方法是最小二乘法。在求解损失函数的最小值时，可以通过梯度下降法来一步步的迭代求解，得到最小化的损失函数和模型参数值。反过来，如果我们需要求解损失函数的最大值，这时就需要用梯度上升法来迭代了。在机器学习中，基于基本的梯度下降法发展了两种梯度下降方法，分别为随机梯度下降法和批量梯度下降法。(The steepest descent method is a kind of iterative method, which can be used to solve the least squares problem (both linear and nonlinear). In solving the model parameters of machine learning algorithm, that is, unconstrained optimization, gradient descent is one of the most commonly used methods, and the other is the least square method. When solving the minimum value of loss function, the gradient descent method can be used step by step to get the minimum value of loss function and model parameters. Conversely, if we need to solve the maximum value of the loss function, then we need to use the gradient rise method to iterate. In machine learning, two kinds of ladders are developed based on the basic gradient descent method)

介绍DACE--A MATLAB Kriging Toolbox V2[1].0工具箱使用的好文档(introduction of DACE--A MATLAB Kriging Toolbox V2[1].0)

chebyshev 2值量化辛辛苦苦的编程 奉献给大家 ，愿大家在混沌序列上共同提高(chebyshev 2 value quantization laboriously programming dedicated to you, everyone is willing to jointly improve the chaotic sequence)

matlab code for construction on polynomials dor tensor determination

实现典型相关分析，计算加权加速度,基于chebyshev的水声信号分析，用于建立主成分分析模型，线性调频脉冲压缩的Matlab程序,相控阵天线的方向图（切比雪夫加权），鲁棒性好，性能优越。 ( Achieve canonical correlation analysis, Weighted acceleration, Based chebyshev underwater acoustic signal analysis, Principal component analysis model for establishing, LFM pulse compression of the Matlab program, Phased array antenna pattern (Chebyshev weights), Robustness, superior performance. )

注意：刚上传的不完整，以这个为准 （在DS-spread spectrum系统中,噪声为加性高斯白噪声,传统单用户检测,线性解相关多用户检测和最小均方误差多用户检测的性能比较）(In DS-spread spectrum system, the noise is additive white Gaussian noise, the traditional single-user detection, the linear decorrelating multiuser detection and MMSE Multiuser Detection Performance Comparison)

无线WIFI 2.4GHz天线制作资料，DIY资料(WIFI 2.4GHz wireless data antenna production, DIY information)

非线性动力学中lyapunov、duffing等方程的求解，详细Matlab程序(Nonlinear Dynamics lyapunov, duffing equations and other details Matlab procedures)