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RST Decoder

RST Decoder

koji kamogawa

Education免费v3.3.0
App Store
评分

5.0

6 条评分

星级

★★★★★

最近更新

2026年1月23日

发布日期

2020年6月21日

更新内容

v3.3.0

You can call a decoder that implements the new algorithm.

应用信息

开发者
koji kamogawa
分类
Education
价格
免费
版本
3.3.0
App ID
1519587362

简介

This is an App that decodes Morse code input from the microphone. It is a Morse practice App that you can use to check if you are keying the correct code. Signals with good S/N can be decoded correctly, but signals with bad S/N cannot be decoded correctly. Also, the performance will be degraded for extremely slow or fast signals. Usually about 5 to 10 characters are required for speed synchronization of Morse Code. Adjust the input signal so that the peak value changes from level 6 to level 7. Make fine adjustments to each parameter according to the reception status. [Additional Functions] -In addition to the decoder using BPF, a new decoder using FFT has been added so that it can be switched according to the usage. -AFD (Auto Frequency Detector) function has been added to the decoder using BPF, and BPF can be set automatically by pressing the AFD button. -The decoder using FFT automatically follows the strongest signal in the band by AFD (Auto Frequency Detector) and AGC (Auto Gain Control). You can also hold the AFD / AGC parameters by pressing the Lock button. * There will be a time lag of about 1 to 2 seconds for AFD tracking. [Control parameters] 1. Audio Input Level 2.BPF ON/OFF 3.BPF of Center Frequency 4.BPF of Band Width 5.CW Speed Control ON/OFF 6.CW Speed Control Low, Mid1, Mid2 or High 7.Delete All Decoded Text 8.Realtime CW Signal Display 9.Input signal recording / playback function *Japanese/KANA text is not supported. [Note] Since the signal after BPF is output to the audio output, it can also be used as an AF-CW filter. [URL of this App working example video] https://youtu.be/Pwp7W4m-m34

下载量预测

专业 · 预览

预估总下载量

444300857
保守估计乐观估计

4

低 / 月

6

预估 / 月

12

高 / 月

基于6 条评分
假设评分率1.4%
应用年龄72 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。