搜索资源列表
a_envelope
- Create a channel object that describes the channel that you want to use. A channel object is a type of MATLAB variable that contains information about the channel, such as the maximum Doppler shift.
HMM
- ：为了使应力变异在顽健语音识别系统中能够达到较好的识别效果，研究了基于隐马 尔可夫模型(HMM)的自适应技术，提出了将最大后验概率(MAP)和最大似然回归方法(MLLR)用 于应力变异语音的自适应中。实验结果表明，与基本系统相比，两种方法均有效地提高系统识别 率。以SD为初始模型的最大后验概率方法在150个训练样本时识别效果最好，可以达到90．4％ 。-: In order to stress variation in the robustness of speech recogni
NonnegJune2009
- 当前论文主要考虑的是非信号依赖的高斯噪声下的图像恢复，本程序实现了泊松噪声下的图像恢复，泊松噪声为信号依赖噪声，能够更加有效逼近实际成像系统噪声。- This is the code that was used in the papers "A Nonnnegatively Constrained Convex Programming Method for Image Reconstruction", "Total Variation-Penalized Poisson Likelihood E
E4
- MATLAB Toolbox for econometric modeling of time series. E4 makes up for the lack of PC software for estimating econometric models by exact maximum likelihood.
taiyangzidonggengzongxitongsheji
- 可以对太阳能发电系统的设计方面进行研究，对光伏电池板最大功率点的自动跟踪有借鉴作用。-Solar power generation system can design a study of solar photovoltaic maximum power point of reference for the role of automatic tracking.
MaximumAPosteriori
- 在统计学中，最大后验（英文为Maximum a posteriori，缩写为MAP）估计方法根据经验数据获得对难以观察的量的点估计。它与最大似然估计中的 Fisher 方法有密切关系，但是它使用了一个增大的优化目标，这种方法将被估计量的先验分布融合到其中。所以最大后验估计可以看作是规则化（regularization）的最大似然估计。 -In statistics, the maximum a posteriori (English as a Maximum a posteriori, ab
sync-4-ofdm
- Joint maximum likelihood (ML)symbol-time and carrier-frequency offset estimator in orthogonal frequency-division multiplexing(OFDM) systems.-Joint maximum likelihood (ML)symbol-time and carrier-frequency offset estimator in orthogonal frequency-divi
01576960Beaulieu
- 通过MATLAB软件；通过仿真得出性能曲线；从而比较bpsk的性能-The bit-error rate (BER) of binary phase-shift keying in Rayleigh fading, using the Alamouti transmission scheme and receiver selection diversity in the presence of channel-estimation error, is studied. Closed-
NonLinearDetectionMulti-userOFDMMC-CDMA
- echniques for multi-user detection in OFDM / MC-CDMA can be classified as linear or non-linear techniques. A number of these techniques have evolved from previous research for CDMA–based systems. The overlaying of OFDM with CDMA permits grouping of t
ber_2x2mimo_ML
- The results for 2×2 MIMO with Maximum Likelihood (ML) equalization helped us to achieve a performance closely matching the 1 transmit 2 receive antenna Maximal Ratio Combining (MRC) case.
SVD
- 常规DOA谱估计music算法在多径环境下失效，SVD算法利用最大特征值对应的特征矢量重新构造奇异值矩阵，可以成功估计相干信号。-Conventional music spectrum estimation algorithm for DOA in multipath environment, failure, SVD algorithm using the maximum eigenvalue of the feature vector corresponding to re-construc
BayesianMAP
- Bayesian based Maximum A Posterior . It is used for Image Restoration
random_signal
- 1）最大似然方法联合实现符号定时同步和载波同步仿真 2）泊松分布 3）贝叶斯估计 4）RANSAC方法-1) The maximum likelihood method of the joint realization of Symbol Timing and Carrier Synchronization in simulation 2) Poisson distribution 3) Bayesian estimation 4) RANSAC method
hipr
- 使用push-relabel方法求解最大流问题，是国外的一个研究机构编写的，速度很快。-This is an efficient implementation of the push-relabel method. See Goldberg and Tarjan, "A New Approach to the Maximum Flow Problem," J. ACM Vol. 35, 921--940, 1988 and Cherkassky and Gol
thresh_md
- 该函数实现了用最大方差法来计算出分割阈值-To achieve maximum variance method to calculate the threshold segmentation
mle
- maximum likelihood estimation
da1
- HELP: coherent_ML_receiver function [separated_data]=coherent_ML_receiver(received_signal,H,code_name,rate,num_code,modulator) Perform Maximum Likelihood Space Time Decoding. The function can be computionnaly expensive if the modulation
MIMO_detection
- 多天线系统的各种信号检测算法包括迫零，最小均方误差，最大似然，改进的最大似然等-A variety of multi-antenna systems signal detection algorithm, including zero-forcing, minimum mean square error, maximum likelihood, the improved maximum likelihood, etc.
bipartite_graph_maximum_matching
- 三种二项图最大匹配算法.包括使用广度优先搜索以及深度优先搜索的匈牙利算法，以及Hopcroft-Karp算法。-Three of bipartite graph maximum matching algorithms. Including 1.Hungarian with DFS 2.Hungarian with BFS 3.Hopcroft-Karp algorithm
OUProcess
- This program calibrates the Ornstein–Uhlenbeck process, a mean reverting AR(1) stochastic process. The parameters are estimated using (1)Least Squares fitting and (2)Maximum Likelihood estimation.-This program calibrates the Ornstein–Uhlenbeck proces