ofdm_pro

跳时超宽带信号的产生,有关跳频信号的超宽带信号产生(UWB signal generation, the frequency-hopping ultra-wideband signal generation signal)

独立成份分析（ＩＣＡ）以及ｗｉｎｎｅｒ滤波 Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S + N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...( Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S+ N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...)

CSTR产生数据的程序。由于CSTR具有广泛的应用性，故特地利用伪随机序列激发CSTR系统，产生数据。(CSTR generate data procedures. As CSTR with extensive application, it specifically using pseudo-random sequence inspired CSTR systems to generate data.)

After identifying the best MNT− 1 nodes with the simplified branch metric and the accumulated branch metric at stage NT − 1, we then calculate the LLR of each coded bit utilizing the standard squared Euclidian distance metric. The log-likelihood ratio (LLR) of a posteriori probability (APP) of each coded bit conditioned on the received signal y is normally calculated using the max-log approximation.

了解隐马尔科夫模型HMM的概念、组成和需要解决的问题；掌握三个基本算法：forward算法、Viterbi算法和Baum-Welch算法，并利用matlab进行实验分析一道具体问题(Understand the concept of Hidden Markov Model HMM, composition and problems to be solved mastered three basic algorithms: forward algorithm, Viterbi algorithm and Baum-Welch algorithm and experimental analysis using matlab specific problems together)

利用张量cp分解修复数据，对数据进行插补或预测(Use tensor cp decomposition to repair data, interpolate or predict data)

a function to find auto correlation

Code C and program to simulate services prestations.

Matlab For Engineers And Scientists (Third Edition, 2008) this ebook is really good for all students who use Matlab

对陀螺仪导航进行卡尔曼滤波的计算与仿真，效果很好。(For gyro navigation kalman filtering calculation and simulation, the effect is very good)