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Description: Ext JS发布正式版的3.0. ，RC结束
在经历数次RC版之后，extjs.com终于发布3。0的正式版了。总体而言，较2.0改进不大，依然还是那套组件模型，但具体的变化就按照website的标题介绍如下：
* 提供了参照DWR后与后台的通讯包Direct，支持具有明显的REST风格的CRUD服务
* 一系列的新的组件和例子，包括有图表（Charting， By YUI Flash）
* 功能增强和Bug修正，大约有1k多个吧~IE6下面的内存管理亦有所改善了
* 文档有新内容了，CSS业已重构
* 巩固向后的兼容性，升级没有1。x-〉2。x那时的痛苦。-Ext JS officially released version 3.0., RC end after going through several RC version, extjs.com finally released 3.0 version of the official. Overall, little improvement over 2.0, the set of component model is still, but the specific changes in the title in accordance with the website as follows:* to provide the DWR with the background light of the communication package Direct, support for REST-style visible CRUD services* A range of new components and examples, including a chart (Charting, By YUI Flash)* Enhanced and Bug amendment, about 1k more than you ~ IE6 the following memory management also has improved the document* new content, CSS has been remodeling* consolidate backward compatibility, the upgrade is not 1. x-> 2. x then the pain.
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Size: 1142784 |
Author: yuchao |
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Description: 该代码给出了在有记忆情况下，基于多项式的功率放大器预失真算法仿真。-The code presents the simulation results about memory power amplifier pre-distortion algorithms based on polynomials.
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Size: 1024 |
Author: 李想 |
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Description: 在实时平台上,高斯混合模型(GMM)具有计算有效性和易于实现的优点。最大似然规则中,模型参数不
断更新,但由于爬山特征,任意的原始模型参数估计通常将导致局部最优 遗传算法(GA)适于求解复杂组合优化问
题及非线性函数优化。提出了基于说话人识别的可以解决GMM局部最优问题的GMM/GA新算法,实验结果表明,
提出的GMM/GA新算法比纯粹的GMM算法能获得更优的效果。
- In real-time platform, the Gaussian mixture model (GMM) with the calculation of the effectiveness and easy to realize benefits. Maximum likelihood rule, the model parameters are not
Broken updates, but due to climbing features, any of the original model parameter estimation will usually result in local optimum genetic algorithm (GA) is suitable for solving complex combinatorial optimization question
Title and non-linear function optimization. Proposed speaker recognition based on GMM can solve the problem of local optimal GMM/GA new algorithm, experimental results show that the
Proposed GMM/GA new algorithm than purely GMM algorithm can get better results.
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Size: 4448256 |
Author: 于高 |
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Description: A firmware driver for CC1100 based SubGHz RF modem. Target used is a PIC16F877A series. The code is written and tested for a RF modem by Summitek model ST-TR1100+PA. SPI is implemented in the software itself and can be driven in burst mode also. -A firmware driver for CC1100 based SubGHz RF modem. Target used is a PIC16F877A series. The code is written and tested for a RF modem by Summitek model ST-TR1100+PA. SPI is implemented in the software itself and can be driven in burst mode also.
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Size: 5120 |
Author: Joe |
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Description: Mitsubishi PA-10 VRML Model
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Size: 428032 |
Author: polevault |
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Description: 在多径分量数确定的前提下,MIMO-OFDM系统采用传统的基于导频辅助和盲信道估计算法能获得较好性能。实际无线环境中,多径分量数目与幅度都是时变的,则传统信道估计方法不再适用。该文采用随机集理论建模MIMO-OFDM系统信道多径分量数的变化和MIMO信道。基于此模型提出了集中粒子空间重采样方法(CRS),在保留大概率粒子抽样样本的同时主动抛弃小概率抽样样本,以获得更为准确的真实样本逼近。并提出了基于集中重采样Rao-Blackwellised粒子滤波的信道估计方法(RBPFC)。仿真结果表明:所提出的RBPFC方法信道估计性能最好,基本Rao-Blackwellised粒子滤波方法次之但优于基本粒子滤波算法,卡尔曼滤波的信道估计方法性能最差。-The typical pilot-aided and blind estimation method for MIMO-OFDM channel can achieve good performance when the number of multi-path components is constant.However,in the practical wireless environment,the number of channel taps and amplitude are all unknown and time-varying in whole process,thus typical estimation methods are not suitable.In this paper,the channel-taps varying condition and a new channel model are established by using RST theory.Based on this model,the re-sample method by Concentrating pa...
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Size: 610304 |
Author: 王睿 |
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Description: 基于射频功放的WienerSaleh记忆模型-no description
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Size: 415744 |
Author: xin_canwei |
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Description: 应用Wiener和Elman模型分析射频功放的记忆效应-no description
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Size: 507904 |
Author: xin_canwei |
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Description: c#.net进销存系统。功能描述
系统功能模块,系统管理 ,部门管理 ,用户管理 ,角色管理 ,菜单管理 ,参数设置 ,商品管理 ,类型管理 ,品牌管理 ,名称管理 ,型号管理 ,仓库管理 ,商家管理 ,单位管理 ,销售明细 ,库存管理 ,采购入库 ,商品转库 ,库存信息 ,商品出库 ,送货信息 ,销售明细 ,价格管理 ,退货作废 ,财务管理 ,采购统计 ,销售统计 ,利润分析 ,财务流水帐 ,工资查询 ,销售管理 ,零售开票 ,销售查询 ,价格查询 ,批发管理 ,批发开票 ,批发查询 ,价格查询 ,工程销售 ,销售开票 ,销售查询 ,价格查询 ,售后管理 ,客户报修 ,维修处理 ,维修查询 ,备件管理 ,备件仓库 ,备件分类 ,备件目录 ,备件入库 ,备件出库 ,员工管理 ,员工设置 ,职务管理 ,客户管理 ,客户信息 ,个人设置-c#. net Invoicing System. Functional description of system function modules, system management, departmental management, user management, role management, menu management, parameter setting, commodity management, type management, brand management, name management, model management, warehouse management, business management, unit management, sales details procurement, inventory management, warehousing, goods transfer library, inventory information, goods out of the library, shipping information, sales details, price management, returns void, financial management, procurement statistics, sales statistics, profit analysis, financial running account, the wage query spare parts, sales management, retail billing, sales inquiries, price queries, wholesale management, wholesale billing, wholesale inquiries, price queries, engineering sales, sales invoicing, sales inquiries, price queries, after-sales management, customer repair, maintenance processing, maintenance queries, management, spare pa
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Size: 9019392 |
Author: 孙程海 |
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Description: Saleh model for use in memoryless nonlinear power amplifier (PA) behavioural modelling
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Size: 1024 |
Author: Jerry |
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Description: 功率放大器非线性模型的建立，并得出失真曲线，使用的是saleh多项式-Amplifier nonlinear model, and come to the distortion curve
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Size: 1024 |
Author: fan |
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Description: 射频发射链路功放预失真模型，功放模型采用wiener模型-DPD wiener PA behavior model
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Size: 2048 |
Author: 李厚儒 |
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Description: This paper presents a comparative study on the
suitability of using Hammerstein or Wiener models to
identify the power amplifier (PA) nonlinear behavior
considering memory effects. This comparative takes into
account the operational complexity regarding the
identification process as well as their accuracy to follow the
PA behavior. Both identified PA models will be used to
estimate a Hammerstein based predistorter in order to see
which model combination provides better linearization
results. In addition, two adaptive algorithms for
predistorting both PA models are compared in terms of
accuracy and converge speed.
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Size: 276480 |
Author: sali |
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Description: The digital baseband predistorter is an effective technique to compensate for the nonlinearity of
power amplifiers (PAs) with memory effects. However, most available adaptive predistorters based on direct
learning architectures suffer from slow convergence speeds. In this paper, the recursive prediction error
method is used to construct an adaptive Hammerstein predistorter based on the direct learning architecture,
which is used to linearize the Wiener PA model. The effectiveness of the scheme is demonstrated on a digital
video broadcasting-terrestrial system. Simulation results show that the predistorter outperforms previous
predistorters based on direct learning architectures in terms of convergence speed and linearization. A similar
algorithm can be applied to estimate the Wiener PA model, which will achieve high model accuracy.
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Size: 238592 |
Author: sali |
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Description: Defining ETL Worfklows using BPMN and BPEL
Decisional systems are crucial for enterprise improvement.
They allow the consolidation of heterogeneous data from
distributed enterprise data stores into strategic indicators.
An essential component of this data consolidation is the Ex-
tract, Transform, and Load (ETL) process. In the research
literature there has been very few work defining conceptual
models for ETL processes. At the same time, there are cur-
rently many tools that manage such processes. However,
each tool uses its own model, which is not necessarily able
to communicate with the models of other tools. In this pa-
per, we propose a platform-independent conceptual model of
ETL processes based on the Business Process Model Nota-
tion (BPMN) standard. We also show how such a conceptual
model can be implemented using Business Process Execu-
tion Language (BPEL), a standard executable language for
specifying interactions with web services.
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Size: 399360 |
Author: Jake |
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Description: 通信NMSE,功放模型得到的数值计算结果业界一般采用归一化均方误差（Normalized
Mean Square Error, NMSE）来表征计算精度-Communication signals NMSE, pa model to get the results of numerical calculation of the industry generally adopts the Normalized mean square error (Normalized
Characterized by the Mean Square Error, the NMSE) calculation accuracy
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Size: 2286592 |
Author: 王路 |
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Description: 预失真模型程序，预失真器首先由自适应学习
器确定，自适应学习器再使用放大器的输出作为它的输入，以此来预测 PA 的输入-Predistortion model application, studied by adaptive predistortion device first
Sure, adaptive learning and then use the output of the amplifier as its input, in order to predict the PA input
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Size: 2286592 |
Author: 王路 |
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Description: 无记忆功放模型的建立,建立的功放模型得到的数值计算结果业界一般采用归一化均方误差（Normalized Mean Square Error, NMSE）-Power amplifier without memory model, the numerical calculation results of the mathematical models of power amplifier in the industry generally adopts the Normalized Mean Square Error (Normalized Mean Square Error, the NMSE)
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Size: 29696 |
Author: 王路 |
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Description: 1] Lamberts RJ, Thijs RD, Laffan A, Langan Y, Sander JW. Sudden unexpected death in
epilepsy: people with nocturnal seizures may be at highest risk. Epilepsia 2012
53(2):253–7.
[2] Zijlmans M, Flanagan D, Gotman J. Heart rate changes and ECG abnormalities during
epileptic seizures: pr ence and definition of an objective clinical sign. Epilepsia
2002 43(8):847–54.
[3] van Elmpt WJ, Nijsen TM, Griep PA, Arends JB. A model of heart rate changes to
detect seizures in severe epilepsy. Seizure 2006 15(6):366–75.
[4] Allen J. Photoplethysmography and its application in clinical physiological measurement.
Physiol Meas 2007 28(3):R1-39.
[5] Afonso V, Tompkins W, Nguyen T, Luo S. ECG beat detection
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Size: 152576 |
Author: senthil |
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Description: 自适应与估计算法Start by opening and running the model, pa_measure.slx. This model excites and takes measurements on the power amplifier (PA). The PA input and output are logged to the MATLAB-The DPD.zip file contains the following files
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Size: 3072 |
Author: 杨艳 |
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