kalman filtre

RoundDisk幸运大转盘 旋转，精选ios编程学习源码，很好的参考资料。(RoundDisk lucky big turntable rotation, selection of learning IOS programming source code, a good reference.)

这是个人写的W5500参考程序，希望有用

刚才传的所有程序试验处理的图像(passed the test procedures to deal with all the images)

说明：  C# modbus上位机通讯示例(四驱飞机控制系统)(C # MODBUS upper computer communication example (4WD aircraft control system))

互联网著名国产软件小沁语音信使源代码。使用TAPI接口及语音Modem，实现语音电话自动拨打，语音录制及播放，广泛适用于企事业广告营销。(The use of TAPI interface and voice Modem, realize voice telephone automatic dial, voice recording and playback, widely applicable to the business of advertising and marketing. )

针对TMS320DSP5000的AD采样程序(AD sampling procedures for TMS320DSP5000)

说明：  卡尔曼滤波的DSP实现，使用C语言编写，用在DSP中(Kalman Filtering DSP Implementation)

说明：  ACE自适配通信环境（ADAPTIVE Communication Environment）是可以自由使用、开放源码的面向对象（OO）框架（Framework），在其中实现了许多用于并发通信软件的核心模式。ACE提供了一组丰富的可复用C++ Wrapper Facade（包装外观）和框架组件，可跨越多种平台完成通用的通信软件任务，其中包括：事件多路分离和事件处理器分派、信号处理、服务初始化、进程间通信、共享内存管理、消息路由、分布式服务动态（重）配置、并发执行和同步，等等。(Ace adaptive communication environment is a free-to-use, open-source object-oriented (OO) framework, in which many core patterns for concurrent communication software are implemented. Ace provides a rich set of reusable C + + wrappers Facade and framework components can complete common communication software tasks across multiple platforms, including event multiplexing and event processor dispatch, signal processing, service initialization, inter process communication, shared memory management, message routing, dynamic (RE) configuration of distributed services, concurrent execution and synchronization, etc.)

Turn on bluetooth in v210/ce6.0 (to use btcli)

tf–idf, short for term frequency–inverse document frequency, is a numerical statistic that is intended to reflect how important a word is to a document in a collection or corpus.[1]:8 It is often used as a weighting factor in information retrieval and text mining. The tf-idf value increases proportionally to the number of times a word appears in the document, but is offset by the frequency of the word in the corpus, which helps to control for the fact that some words are generally more common than others. Variations of the tf–idf weighting scheme are often used by search engines as a central tool in scoring and ranking a document s relevance given a user query. tf–idf can be successfully used for stop-words filtering in various subject fields including text summarization and classification. One of the simplest ranking functions is computed by summing the tf–idf for each query term many more sophisticated ranking functions are variants of this simple model.