sonic frequency

sonic frequency的基本解释

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可听声频率, 声频

与sonic frequency相关的网络例句 [注：此内容来源于网络，仅供参考]

It comprises: CN pages call and the page message carries the sonic service information, as the sonic service of CS region; UE responds page, and sends the sonic service information to RNC in the initial access request message; RNC receives request and makes sure it is sonic service of CS region, to decide one sonic speed parameter Rm, and based on the resource demand, to build one wireless chain and ground load between Iub interface signal and service, and the signal and service load of wireless interface; UE and CN processes QoS consultation, and CN sends the consulted Qos parameter to RNC, which comprises a sonic speed parameter Ra of this service; RNC compares parameter Ra and Rm, if Ra is higher then Rm, builds the ground load of Iu interface and sends distribution answer message to CN to continuously page answer process.

一种WCDMA系统被叫侧语音呼叫的快速建立方法，包括步骤：CN寻呼被叫，寻呼消息中携带语音业务信息，指明是CS域的语音业务；UE响应寻呼，在初始接入请求消息中将所述语音业务信息传递到RNC；RNC收到请求并获知是CS域的语音业务后，决策出一个语音速率参数Rm并基于其对资源的要求，建立Iub接口信令和业务的无线链路及地面承载，以及无线接口的信令和业务承载；UE和CN进行QoS协商，CN将协商得到的Qos参数指派给RNC，其中包括本次业务的语音速率参数Ra；RNC比较参数Ra和Rm，如果Ra≥Rm，则建立Iu接口的地面承载，向CN发送指派应答消息，继续呼叫应答过程。

The issues of present seismic wavelet frequency caused by different concepts, such as apparent frequency, dominant frequency, peak frequency and centroid frequency, etc., which are defined by different methods, and understanding deviation, definition of seismic wavelet frequency for time and frequency domain are concluded and summarized. On this basis, three kinds of seismic wavelets in common use such as Ricker and Zinc wavelets as well as sine wavelet with exponential attenuation characteristics are analyzed and a conclude is achieved that apparent frequency and dominant frequency are consistent in essence, but peak frequency and centroid frequency as well as apparent frequency or dominant frequency are not completely consistent with different seismic wavelets. For actual seismic data, peak frequency can approximately be used as dominant frequency, but it is not suitable when seismic wavelet is known for it can give out any wrong knowledge and results.

针对目前地震子波频率由于定义方式出现的各种概念（视频率、主频、峰值频率、中心频率等）以及理解上出现的偏差等问题，首先从时间域定义和频率域定义2个方面进行了归纳和总结，并在此基础上对3种常用地震子波（Ricker子波，Zinc子波，正弦指数衰减子波）进行了分析和研究，得出视频率与主频概念一致，但不同地震子波的峰值频率、中心频率和视频率之间并不完全一致的结论；而对于实际地震资料，将峰值频率近似看作地震子波的主频是可以的，但在地震子波已知的情形下这样做是不恰当的，甚至可能会得出错误的结论和认识。

In view of these shortcomings, this frequency meter has made the radical innovation in the design, its merit is: Uses the core component is the advanced monolithic special-purpose frequency measurement component -- monolithic frequency meter, the integration rate is high, the volume is small, consumes the electricity province, function, has realized the frequency meter high integration and the microminiaturization; So long as the monolithic frequency meter adds on the crystal oscillator, the measuring range choice, the frequency demonstrated and so on the very few components then constitute DC to the 10MHz miniature basic frequency measurement electric circuit; But the biggest merit was this frequency meter has realized monolithic frequency meter, frequency sampling electric circuit and the monolithic microcomputer three between hardware and the software connection completely, caused the frequency measurement measuring range the choice, the frequency data survey, the sampling as well as the code frontier transformation and the data dump possible monolithic microcomputer software programming automatically to carry on, thus has realized the frequency measurement and the sampling work intellectualizes completely, causes this system already to be possible to constitute a miniature intelligence to measure rate the instrument core electric circuit independently, also might take in the large-scale automatic control or a test system intelligent subsystem.

针对这些缺点，本频率计在设计上作了根本的革新，其优点是：所用核心器件是先进的单片专用测频器件——单片频率计，集成度高，体积小，耗电省，功能强，实现了频率计的高度集成化和微型化；单片频率计只要加上晶振、量程选择、频率显示等很少量的器件即可构成一个DC至10MHz的微型基本测频电路；而最大的优点则是本频率计完全实现了单片频率计、频率采样与单片微机三者之间的硬件与软件接口，使得测频量程的选择、频率数据的测量、采样以及编码的边境转换和数据的转储均可能过单片微机的软件编程自动进行，从而实现了测频与采样工作的完全智能化，使得本系统既可独立构成一个微型智能测率仪器的核心电路，也可作为大型自动控制或测试系统中的一个智能子系统。

与sonic frequency相关的网络解释 [注：此内容来源于网络，仅供参考]

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