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Maximum likelihood estimation of GARCH
- Maximum likelihood estimation of GARCH
ML.rar
- 该算法是经典的信噪比估计算法——最大似然估计算法，利用接收信道的先验概率密度函数，ML法能够很好的估计信号的信噪比,The algorithm is a classic signal to noise ratio estimation algorithm- maximum likelihood estimation algorithm, using the a priori receiver channel probability density function, ML method can
qmle
- 最大似然译码的程序，用MATLAB编写的，很实用的例子-Maximum likelihood decoding process, using MATLAB written a very practical example of
matlab-mle
- 主要是介绍极大似然估计并用matlab实现极大似然估计-Is to introduce the maximum likelihood estimation and use matlab to achieve maximum likelihood estimation
EM
- EM算法Matlab实现。最大期望（EM）算法是在概率（probabilistic）模型中寻找参数最大似然估计或者最大后验估计的算法，其中概率模型依赖于无法观测的隐藏变量（Latent Variable）-EM algorithm by Matlab. Maximum expected (EM) algorithm is probabilistic (probabilistic) model to find maximum likelihood parameter estimation or m
homework_1_1
- 最大似然估计法的matlab实现，及Crammer-lor下界的确定-Maximum likelihood estimation of the matlab implementation, and Crammer-lor to determine the lower bound
zishiyingjunheng
- This demo shows the BER performance of linear, decision feedback (DFE), and maximum likelihood sequence estimation (MLSE) equalizers when operating in a static channel with a deep null. The MLSE equalizer is invoked first with perfect channel knowled
ML_cp
- 值得深刻阅读的基于CP的OFDM同步程序 这是一个非常好的用于OFDM的基于CP的 最大似然符号定时同步和载波同步的MATLAB仿真程序，经本人深入阅读吸收经典文献，反复编程调试而提炼而成，代码精炼有序，绝对没有错误，由此程序仿真得到的同步曲线与经典文献完全一致。同仁们阅读此程序一定受益匪浅！ 这里不吝成果，特上载与诸位网友共享。也欢迎同仁们提供更多的优秀程序。 由于文献要求采用N＝1024个子载波的OFDM，运行此程序需2分钟－3分钟的时间。 -Worthy of profound r
cats_v3.1.2.tar
- 最大似然估计算法，应用于多参数模型，例如gps领域-Maximum likelihood estimation algorithm applied to multi-parameter model, for example, the field gps
MIMOwithMLequalization
- 2X2 MIMO系统使用ML（最大似然）接受。（验证可用）-2X2 MIMO system using the ML (maximum likelihood) to accept. (Verification can be used)
mlem
- 关于最大似然重建方法的实现，可用于tomography reconstruction-This is the code for maximum likelihood expectation maximum reconstruction method which is frequently applied in tomography reconstruction, such as CT and PET
MLandcpp
- ML的方法在ofdm中的应用，是最大似然在ofdm中的仿真-ML method ofdm application is the maximum likelihood in the simulation ofdm
ModelIdentification
- 关于模型辨识的MATLAB仿真源码。有使用最小二乘的建模，有极大似然估计建模的方法。每个重点例句都有详细的解释。-On the MATLAB simulation model of source identification. Modeling the use of least squares, and maximum likelihood estimation method of modeling. Each key has a detailed explanation of examples
image_type_convert
- Detect the type and convert the image to one out of four types: BW, LABELED, CONTOUR,LIKELIHOOD. This program can be used as a part of automatic image recognition tool.
ARMAKalman
- Several functions for evaluating the exact negative log-likelihood of ARMA models in O(n) time using the Kalman Filter
ASA
- 自动谱分析：可用于丢失/采样/子束光谱分析；矢量自动迭代，可用于建模，故障诊断；-The applications of this additional toolbox are: - Automatic spectral analysis for Irregular sampling/Missing data, analysis of spectral subbands, - Vector Autoregressive modeling and Detection [uses ARMA
mle
- maximum likelihood estimation
MLEqforSTBCMIMO
- Maximum Likelihood equalization for STBC-MIMO systems
Tutorial-on-maximum
- Tutorial on maximum likelihood estimation
Maximum-likelihood-parameter-estimation
- this code is or estimation Maximum likelihood parameter