-
-
predicSrc.rar
... perceptrons. It allows to define an input signal on which prediction will be performed. The user can choose the number of ... delay between the input series and the predicted output series. Then it is possible to observe interesting prediction properties.
-
h264_interpred.rar
This document is part of H.264 standard and introduces the prediction of Inter Marcoblocks in P-slices.
-
dts_pss_crf.rar
用于蛋白质数据生成分类数据的转换。做PSS（Protein Secondary Structure prediction)的可以参考一下。
-
ChaosToolbox1p0_trial.zip
混沌时间序列分析与预测工具箱 Version1.0
(Chaotic Time Series Analysis and Prediction Matlab Toolbox - version 1.0)
-
rtrytvbi.rar
iLBC 产生背景
在VoIP的应用中，大部分厂商采用CELP (Code Excited Linear Prediction) 算法的低速率语音编解码，如ITU G.729和G.723.1等。而VoIP应用主要在包交换的IP网络上进行传输，无法避免IP网络的丢包、延时、抖动等实时传输问题，而传统的这几个CELP算法对高丢包的处理不是很好，因而很大程度上会影响语音通话效果。
-
EnergyNormalizationCepSpec.rar
...
References:
[1] L. Rabiner and B.H. Juang,Fundamentals of Speech Recognition, Prentice-Hall, 1993.
％ [2] P.E. Papamichalis, Practical Approaches to Speech Coding, Prentice-Hall, 1987.
％ [3] J.D. Markel and A.H. Gray,Linear Prediction of Speech
-
ModelbasedPredictiveControl.zip
... three MIMO predictive control algorithms.
These files are intended as a support to this book to enable students to investigate predictive control algorithms from the formulation of the
prediction equations right through to the closed-loop simulation.
-
disk.zip
The Disk sample is used with Classpnp.sys as disk driver. The sample supports Plug and Play, Power Management, WMI, and failure prediction (S.M.A.R.T.), and it is 64-bit compliant.
-
g729_audio_encode.rar
... of commendation G.729 with ANNEX B Coding of Speech at 8 kbit/s using Conjugate-Structure Algebraic-Code-Excited Linear-Prediction (CS-ACELP) with Voice Activity Decision(VAD), Discontinuous Transmission(DTX), and Comfort Noise Generation(CNG).
-
OnsequentialMonteCarlosamplingmethodsforBayesianfi
... Rao-Blackwellisation in order to take advantage of
the analytic structure present in some important classes of state-space models. In a final section we
develop algorithms for prediction, smoothing and evaluation of the likelihood in dynamic models.
-
Go To English Version 超过100万源码资源，1000万源码文件免费下载
