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BCS
- 压缩传感是一个从2006年左右开始兴起的研究领域，它关注于如何采样信号，也就是信号的采样方式或者压缩方式。通过设计一种特殊的采样方案，可以使得采样频率降低为信号的“信息率”，而不是传统的奈奎斯特采样率，于是，实际的采样率可以大大低于奈奎斯特频率，却只损失很少的信息量，依然保持了充足的信息量足以恢复出采样前的原始信号。这个研究思想挑战了奈奎斯特频率的理论极限，会对整个信号处理领域产生极其深远的影响，同时，信号处理的许多应用领域也会随之发生根本性的发展和变化。 -Compressive sens
wave
- 将有限单元半解析法用于求解三维填充式波形空间结构。构造了结构受弯窄条的反力矩 阵。根据有限单元半解析法将位移场表示成两个方向位移的组合：一个方向以函数形式给定位移 形状；另一方向为求解有限单元法的代数方程组。最后通过算例验证表明：有限单元半解析法对于 求解空间填充式结构非线性问题具有精度高，收敛快，易于计算机编程的优点。 关键词：有限单元半解析法；三维填充式波形结构；薄壁空间体系；几何非线性-The finite element semi-analytical method fo
Kalman
- The Extended kalman filter (EKF) has been found wide application in the sensorless control of induction motor (IM) because of its good steady and dynamic behaviour,disturbance resistance, and fast convergence. This paper presents a novel speed sensor
ijacspv24n6
- This contribution considers semi-blind adaptive equalization for communication systems that employ high-throughput quadrature amplitude modulation signalling. A minimum number of training symbols, approximately equal to the dimension of the equal
automatic-gain-control-scheme
- 这篇文章提出了一个快速的增益控制计划，基于LTE系统。通过仿真表明这个计划有很好的收敛性，并且适合稳定性操作。-In this paper, we propose a fast automatic gain control (AGC) scheme for initial cell search in long term evolution (LTE) time division duplex (TDD) system.we show that the proposed method can
Array-beamforming-optimization
- 本文给出了一种利用幅相加权对阵列天线进行全局优化的方法。为了使天线的辐射波束形成给定的 方向图，采用联合应用DFP和BFGS公式的变度量算法对阵列天线各单元的馈电幅度和相位分布进行优化， 通过C++语言编程计算实现，从而使得优化后的阵列天线主波束形状能够与预给波束形状相吻合，达到设计 要求。全局优化是本文的特色，它弥补了局部优化结果的精确度依赖于初始值的缺点，因而得以保证通过优 化得到的天线主波束与给定波束的主瓣相吻合，副瓣也得到有效控制。该方法具有快速收敛，计算量小等优 点
Mean-Shift-Segmentation-Method
- Mean Shift算法的基本原理，着重研究了Mean Shift的迭代过程和收敛性以及特征空间的结构。通过Mean Shift结构分析，本章提出了一种快速区域合并算法并将其应用于改进的Mean Shift图像分割算法。-The basic principle of the Mean Shift algorithm, focusing on the Mean Shift iteration process and convergence and the structure of the feat
adaptive-rms
- 有源自适应噪声的最常用算法之一，该算法是另一个基于最小二乘准则的精确方法，它具有快速收敛和稳定的滤波器特性。-Active adaptive noise, one of the most commonly used algorithm, the algorithm is another accurate method of least squares criterion, it has fast convergence and stability of the filter characteri
A-hybrid
- 针对传统的ＢＰ或ＧＡ对模糊神经网络的识别应用存在收敛容易陷入局部极小 识别率低下等问题 提出一 种基于ＢＦＧＳ的混合遗传算法 其基本思想为 首先构造一种前馈型模糊神经网络结构 然后用遗传算法进化若干代 后 当目标函数的梯度或者范数小于预先设定值 则改用ＢＦＧＳ算法进行优化识别 仿真实验表明 对比ＧＡ该算法 收敛速度较快 识别精度提高了约７％ 能够较好地应用于一类模糊神经网络的识别-In traditional BP or GA to identify the application
A-nonparametric-variable-step-size-NLMS-algorithm
- A nonparametric adaptive filtering approach is proposed in this paper. The algorithm is obtained by exploiting a time-varying step size in the traditional NLMS weight update equation. The step size is adjusted according to the square of a time-av
7-Power-Amplifier-Adaptive-Linearization-Using-Pr
- Quadrature ampliltude modulation has high spectral efficiency but is highly sensitive to power amplifier nonlinearities. It is shown that an adaptive predistorter usig polynomial amplitude and phase predistortion functions can be used to lineariz
PSO-matlab
- 粒子群算法源程序，是近年来发展起来的一种新的进化算法。有实现容易、精度高、收敛快等优点。是一种并行算法。-Particle swarm algorithm source code, is a new evolutionary algorithm developed in recent years. There are easy to implement, high precision, fast convergence and so on. Is a kind of parallel algor
36063823afsa2
- 摘 要:在分析人工鱼群算法存在不足的基础上,对人工鱼群算法加以改进,提出了一种改进型人工鱼群算 法。该算法提高了全局搜索能力和收敛速度,并用于求解具有变量边界约束的非线性复杂函数最优化问题。 仿真结果表明,改进后的人工鱼群算法具有精度高、搜索速度快等特点,是一种求解复杂函数全局最优化的智 能算法-Combinatorial optimization problems through the application of artificial fish-swarm algorithm to imi
dergipark.ulakbim.gov
- Differential Evolution (DE) algorithm is a new heuristic approach mainly having three advantages finding the true global minimum regardless of the initial parameter values, fast convergence, and using few control parameters
Low-Complexity-
- 本文提出了一种低复杂度的变遗忘因子机制用于递归最小二乘恒模约束算法中来抑制干扰。改进的方法通过恒模代价函数的时间平均来调节遗忘因子，从而更快地跟踪干扰并抑制，该文章计算量低，收敛速度快。-This paper presents a low complexity variable forgetting factor recursive mechanism for lscm constraint method to suppress interference. Improved methods be
A-fast-recursive-total-least-squares-algorithm-fo
- An Improved Gain Vector to Enhance Convergence Characteristics of Recursive Least Squares Algorithm
Colony-algorithm--gai
- 改进后的蜂群算法用于损伤识别，收敛速度快，识别精度高-The improved colony algorithm is used for damage detection, fast convergence rate, high recognition accuracy
A-Fast-Convergence-Multiuser-Detection-Scheme-for
- good paper about sparse code multiple access (SCMA)
07227112
- Thanks to the small wavelength at millimeter wave (mmWave) frequency, it is promising to combine massive multiple-input and multiple-output (MIMO) with mmWave. MmWave massive MIMO will differ the conventional massive MIMO, due to the differen
Design-of-a-fast-convergent-backpropagation
- The main contribution of this paper is using optimal control theory for improving the convergence rate of backpropagation algorithm. In the proposed approach, the learning algorithm of backpropagation is modeled as a minimum time control prob