8816325UnitCommitment

Given a time series, the algorithm will test its non-linearity calculating the lyapunov exponent by Jacobi method

A function that calculates radial distance between two given vectors

说明：  现代数字信号处理一些计算机作业和matlab程序(Digital signal processing computer operations and procedures)

Exports figures nicely to a number of vector & bitmap formats.(Matlab codes Exports figures nicely to a number of vector & bitmap formats.)

二次规划的matlab程序，非常实用，注释很详细，希望对大家有帮助！(Quadratic programming matlab program, very practical, very detailed comments, we want to help!)

出一种实现不同维间估计结果自动配对的二维频率估计算法。首先把二维频率估计问题转化成两个矩阵束的特征值问题。根据矩阵束的特征求出两个矩阵束的公共特征向量，并以此为基础同时求出两个矩阵束的特征值。算法估计误差与现有算法相近，但解决了现有算法普遍存在的配对难题。 (Matrix pencils play an important role in numerical linear algebra. The problem of finding the eigenvalues of a pencil is called the generalized eigenvalue problem. The most popular algorithm for this task is the QZ algorithm, which is an implicit version of the QR algorithm to solve the associated eigenvalue problem B − 1Ax = λx without forming explicitly the matrix B − 1A (which could be impossible or ill-conditioned if B is singular or near-singular) )

SVD-TLS算法进行参数估计，本文用SVD-TLS算法估计观测信号的功率谱，步骤如下： （1） 计算样本相关函数矩阵R的SVD，并存储奇异值和矩阵V （2） 确定R的有效秩，本文使用的是归一化奇异值法来求有效秩 （3） 用总体最小二乘法估计参数 (SVD-TLS algorithm for parameter estimation, this paper observed SVD-TLS algorithm estimates the signal power spectrum, the following steps: (1) Calculate the sample correlation function matrix R, SVD, and store singular values and matrix V (2) to determine R, effective rank, this is normalized using the singular value method to be effective rank (3) The total least squares method to estimate the parameters)

这是一个matlab工具箱，里面有五个常用的工具箱，为我们matlab编程提供了更加快速和准确的方便。希望大家能喜欢。(This is a matlab toolbox, there are five common toolbox, matlab programming for us to provide the more rapid and accurate and convenient. Hope you can like. )

Multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) is very sensitive to the carrier frequency offset (CFO), which not only affects the channel estimation but also the selection of a minimum error probability based precoder for peak-to-average power ratio (PAPR) reduction such that the system performance will degrade. This paper presents the joint scheme of CFO) and channel estimation in the MIMO-OFDM systems with the minimum error probability based precoder for reducing PAPR. We provide the solution to eliminate the effects of ICI due to CFO mismatch for OFDM with space frequency block codes and spatial multiplexing, drive a generalized linear model and propose a non-iterative reduced complexity model.

Matlab教程第7章，编程与数据分析、整理(Matlab Guide Chapter 7, programming and data analysis, sorting)