搜索资源列表
Poisson_CG
- CG法解Poisson方程，通过迭代输出结果并画图，结果包含迭代步数以及无穷范数-Solution of Poisson equation by CG method, iterative output results and drawing, the result contains iteration step number and infinite norm
Poisson_SOR
- SOR法解Poisson方程，通过迭代输出结果并画图，结果包含迭代步数以及无穷范数-Solution of Poisson equation by SOR method, iterative output results and drawing, the result contains iteration step number and infinite norm
fuzzy
- Fuzzy c-means clustering (FCM) with spatial constraints (FCM_S) is an effective algorithm suitable for image segmentation. Its effectiveness contributes not only to introduction of fuzziness for belongingness of each pixel but also to exploitat
Illustration_Norms
- or a thorough descr iption of the norms, see the Chapter 4 of Robust and Optimal Control, Zhou, Glover, Doyle 1996. Here the point is to give some lines of code illustrating what are the H2 and Hinf norms of LTI systems. In that sense, it i
CORDIC_Norm
- 用CORDIC算法计算两点距离相当于matlab里的norm函数。经过验证，精度不错-Calculate distance between two points is equivalent to the norm in matlab function with CORDIC algorithm. After verification, the accuracy of a good
L1OMPsnr
- 基于压缩感知的DOA估计，比较了OMP与L1范数的性能-DOA estimation based on compressed sensing, compare the performance of OMP and L1 norm
predict-and-match-interal-multiple
- 地震信号处理，虚同相轴方法预测层间多次波，将数据分成上下两部分，利用相关和褶积的原理预测出层间多次波。预测信号和原始信号在相位和振幅上存在差异，用L1范数匹配法进行匹配，其中，提供了两种方法解病态方程，分别为高斯-赛德尔方法和正则化方法。-Seismic signal processing, predicte internal multiples by construct virtual events .The data is divided into two parts, using the
denoising
- The BEADS toolbox jointly addresses the problem of simulateous baseline correction and noise reduction, for positive and sparse signals arising in analytical chemistry (Raman, infrared, XRD, etc.), here applied to gas chromatography signals. The base
prewwit
- The Prewitt operator is used in image processing, particularly within edge detection algorithms. Technically, it is a discrete differentiation operator, computing an approximation of the gradient of the image intensity function. At each point in the
iirlpnormdemo
- 基于matlab的IIR滤波器优化设计算法，可生成代码-Least Pth-Norm Optimal IIR Filter Design
firlpnormdemo
- 基于matlab的fir滤波器的优化设计算法-Least Pth-Norm Optimal IIR Filter Design
IADM_NNLS_v0
- IADM_NNLS:不精确的交替方向方法核标准正则化最小二乘问题，可以解决正则项是核范数的公式，例如低秩表示算法-IADM_NNLS: inexact alternating direction method nuclear standard regularized least squares problem, can solve the formula of regularization is nuclear norm, such as low rank said algorithm
CMA
- 盲均衡中的常模算法用于抽样判决后的多径效应均衡，显著降低误码率-Multipath equalization Blind equalization algorithm norm for post-judgment sampling, significantly reduce the error rate
sLORETA
- sLORETA source code is an algorithm used to solve EEG/MEG inverse problem with zero localization error, by standardized the minimum norm solution.-sLORETA source code is an algorithm used to solve EEG/MEG inverse problem with zero localization error,
spgl1-1.9
- SPGL1，matlab toolbox 用于求解大尺度的L1范数的优化问题：BPDN，BP，LASSO。目前，这个是最新版本1.9.-SPGL1 is a Matlab solver for large-scale one-norm regularized least squares. It is designed to solve any of the following three problems:BPDN，BP，LASSO.SPGL1 relies only on matrix-vec
H
- H无穷控制，使得控制状态对干扰的2范数比最优,应用于非线性控制，还有绘图程序-H infinity control, so that the control state 2 norm than optimal nonlinear control applied to the disturbance, and drawing program
L1Solvers
- 文章《Fast l-1 Minimization Algorithms: Homotopy and Augmented Lagrangian Method Implementation Fixed-Point MPUs to Many-Core CPUs/GPUs》提供的benchmark，解决一些L1范数优化问题。-Article " Fast l-1 Minimization Algorithms: Homotopy and Augmented Lagrangian Metho
double-uncertainty-set-constraints
- 针对传统不确定集约束稳健波束形成算法的性能依赖于模约束参数的问题， 提出了双不确定集约束的稳健宽带波束形成算法该算法将期望信号导向矢量约束于两个不同参数的球形不确定集中，解决模约束参数选择不当引起性能下降的问题.-The traditional uncertainty set constraint robust beamforming algorithm performance depends on the norm constraint parameter, the dual uncertai
gampmatlab
- 最新的压缩感知算法：Generalized Approximate Message Passing及其衍生算法，性能逼近l1范数凸优化方法的阈值迭代算法。压缩包中包含了诸多例程。-The latest compressed sensing algorithm: Generalized Approximate Message Passing its derivative algorithms, performance approaching l1 norm convex optimization
DNCV_CR_BF
- 对于声矢量圆阵，比较双重范数约束法和自适应抵消稳健波束形成法得到的波束图。-For acoustic vector circular array, dual comparator norm constraint offset robust and adaptive beamforming method by beam pattern.