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发表于 2010-4-22 09:20 | 显示全部楼层
20# 夜机

查厂家的datasheet,LT1028A,在 Vs=+/-15v,Ta=25°C,

Vout:MIN=+/-11.0v,TYP=+/-12v。

我做的仿真,LT1028A,Vs=+/-18v,Vout=+/-15V是符合厂家的datasheet的。

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发表于 2010-4-22 09:31 | 显示全部楼层
查alldatasheet资料,
NE5532,
Vopp, RL>=600R,Vcc+/-=+/-15V,MIN=24v,TYP=26v,      Vcc+/-=+/-18v, MIN=30v,TYP=32v

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发表于 2010-4-22 09:35 | 显示全部楼层
7# soundgood


运放输出,在音响中的应用,很少输出这么大的,比较理想的情况是输出电源的10分之1,例如 +-18V供电,输出+-2V以下,比较好,这样的效果比较好。


阁下毫无根据想当然的说法还自以为很懂FFT的原理,滑稽。

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发表于 2010-4-23 10:59 | 显示全部楼层
7# soundgood



按照阁下这说法,我的CD的输出运放在正负15V供电就输出正负1.5v或以下较好了吗?
还有,运放扩流的耳放,在正负18v供电,也就输出在正负2.0v以下较好了吗?
我的多媒体音箱惠威M2000的低音炮 ...
ch639827608 发表于 2010-4-22 09:03


懂得中文语法中什么叫“比较好”?什么叫“很少”吗?

请搞清楚以下概念:

厂家标称值
极限应用值
实际测量值
安全应用值
经验值
。。。。。。。

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发表于 2010-4-23 11:05 | 显示全部楼层
10# soundgood

FFT是傅立叶变换,原理就是傅立叶变换。怎么误导人?
我倒要听听阁下关于FFT的解释。


.FOUR -- Compute a Fourier Component after a .TRAN Analysis


Syntax: .four  [Nharmonics] [ ...
ch639827608 发表于 2010-4-21 20:39


哈哈哈哈,你贴一堆英文,你自己看懂了吗?

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发表于 2010-4-23 11:17 | 显示全部楼层
ch639827608 我知道你的英语很好,很喜欢贴英文贴,所以呢就不用贴中文贴了,直接贴英文的【Fourier transform】的解释好了,你前贴的解释很别扭。

Fourier transform

In mathematics, the Fourier transform (often abbreviated FT) is an operation that transforms one complex-valued function of a real variable into another. In such applications as signal processing, the domain of the original function is typically time and is accordingly called the time domain. That of the new function is frequency, and so the Fourier transform is often called the frequency domain representation of the original function. It describes which frequencies are present in the original function. This is analogous to describing a chord of music in terms of the notes being played. In effect, the Fourier transform decomposes a function into oscillatory functions. The term Fourier transform refers both to the frequency domain representation of a function, and to the process or formula that "transforms" one function into the other.

The Fourier transform and its generalizations are the subject of Fourier analysis. In this specific case, both the time and frequency domains are unbounded linear continua. It is possible to define the Fourier transform of a function of several variables, which is important for instance in the physical study of wave motion and optics. It is also possible to generalize the Fourier transform on discrete structures such as finite groups, efficient computation of which through a fast Fourier transform is essential for high-speed computing.

当然咯,你现在用的FFT,其实叫做【Fast Fourier transform】,但是原理是一样的。

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发表于 2010-4-23 13:43 | 显示全部楼层
到底误导人在哪里?

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发表于 2010-4-23 14:58 | 显示全部楼层
26# soundgood


你现在说说,我那傅立叶分析(FFT,快速傅立叶变换)怎么误导人?
我懂不懂英文不必得到阁下的认可,阁下的认可对于我懂不懂英文是毫无意义的。
现在是你该解释我做的FFT图怎么误导人的时候了。

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发表于 2010-4-23 15:07 | 显示全部楼层
26# soundgood


ch639827608 我知道你的英语很好,很喜欢贴英文贴,所以呢就不用贴中文贴了,直接贴英文的【Fourier transform】的解释好了,你前贴的解释很别扭。

Fourier transform

In mathematics, the Fourier transform (often abbreviated FT) is an operation that transforms one complex-valued function of a real variable into another. In such applications as signal processing, the domain of the original function is typically time and is accordingly called the time domain. That of the new function is frequency, and so the Fourier transform is often called the frequency domain representation of the original function. It describes which frequencies are present in the original function. This is analogous to describing a chord of music in terms of the notes being played. In effect, the Fourier transform decomposes a function into oscillatory functions. The term Fourier transform refers both to the frequency domain representation of a function, and to the process or formula that "transforms" one function into the other.

The Fourier transform and its generalizations are the subject of Fourier analysis. In this specific case, both the time and frequency domains are unbounded linear continua. It is possible to define the Fourier transform of a function of several variables, which is important for instance in the physical study of wave motion and optics. It is also possible to generalize the Fourier transform on discrete structures such as finite groups, efficient computation of which through a fast Fourier transform is essential for high-speed computing.

当然咯,你现在用的FFT,其实叫做【Fast Fourier transform】,但是原理是一样的。


叫快速傅立叶变换也可以,
叫傅立叶分析也可以:The Fourier analysis is performed over the period from the final time, Tend, to one period before Tend unless an integer Nperiods is given after Nharmonics. If Nperiods is given as -1, the Fourier analysis is performed over the entire simulation data range.(摘自LT Spice帮助话题),

这些叫法都不用纠缠,阁下需要解释的是我做的FFT图怎么误导人?你不要顾左右而言他。

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发表于 2010-4-23 15:13 | 显示全部楼层
25# soundgood


哈哈哈哈,你贴一堆英文,你自己看懂了吗?


哈哈哈哈!
我帖一大堆来自于LT Spice里面的说明,阁下要是真看懂了,就知道,在LT Spice里做FFT叫快速傅立叶变换或叫傅立叶分析都一样的意思的,纠缠都是毫无意义的。

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发表于 2010-4-23 15:36 | 显示全部楼层
26# soundgood


ch639827608 我知道你的英语很好,很喜欢贴英文贴,所以呢就不用贴中文贴了,直接贴英文的【Fourier transform】的解释好了,你前贴的解释很别扭。

Fourier transform

In mathematics, the Fourier transform (often abbreviated FT) is an operation that transforms one complex-valued function of a real variable into another. In such applications as signal processing, the domain of the original function is typically time and is accordingly called the time domain. That of the new function is frequency, and so the Fourier transform is often called the frequency domain representation of the original function. It describes which frequencies are present in the original function. This is analogous to describing a chord of music in terms of the notes being played. In effect, the Fourier transform decomposes a function into oscillatory functions. The term Fourier transform refers both to the frequency domain representation of a function, and to the process or formula that "transforms" one function into the other.

The Fourier transform and its generalizations are the subject of Fourier analysis. In this specific case, both the time and frequency domains are unbounded linear continua. It is possible to define the Fourier transform of a function of several variables, which is important for instance in the physical study of wave motion and optics. It is also possible to generalize the Fourier transform on discrete structures such as finite groups, efficient computation of which through a fast Fourier transform is essential for high-speed computing.

当然咯,你现在用的FFT,其实叫做【Fast Fourier transform】,但是原理是一样的。


前帖要告诉阁下的就是:在LT Spice里做FFT,叫傅立叶分析或快速傅立叶变换都一样的意思,什么别扭不别扭?
阁下说FFT误导人就不但别扭,而且是真正的想误导人!

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发表于 2010-4-23 19:38 | 显示全部楼层
24# soundgood


懂得中文语法中什么叫“比较好”?什么叫“很少”吗?

请搞清楚以下概念:

厂家标称值
极限应用值
实际测量值
安全应用值
经验值
。。。。。。。


1 ,你懂的LZ问什么吗?
2,很多运放扩流的放大器都不是只输出电源电压的1/10的.
3,所有声卡的线路输出运放输出都会超过电源电压1/10.

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发表于 2010-4-23 19:59 | 显示全部楼层
26# soundgood

ch639827608 我知道你的英语很好,很喜欢贴英文贴,所以呢就不用贴中文贴了,直接贴英文的【Fourier transform】的解释好了,你前贴的解释很别扭。

Fourier transform

In mathematics, the Fourier transform (often abbreviated FT) is an operation that transforms one complex-valued function of a real variable into another. In such applications as signal processing, the domain of the original function is typically time and is accordingly called the time domain. That of the new function is frequency, and so the Fourier transform is often called the frequency domain representation of the original function. It describes which frequencies are present in the original function. This is analogous to describing a chord of music in terms of the notes being played. In effect, the Fourier transform decomposes a function into oscillatory functions. The term Fourier transform refers both to the frequency domain representation of a function, and to the process or formula that "transforms" one function into the other.

The Fourier transform and its generalizations are the subject of Fourier analysis. In this specific case, both the time and frequency domains are unbounded linear continua. It is possible to define the Fourier transform of a function of several variables, which is important for instance in the physical study of wave motion and optics. It is also possible to generalize the Fourier transform on discrete structures such as finite groups, efficient computation of which through a fast Fourier transform is essential for high-speed computing.

当然咯,你现在用的FFT,其实叫做【Fast Fourier transform】,但是原理是一样的。


我前贴的解释很别扭?!

要你这样解释才"好"?

我告诉你,我引的所有说明

在LT Spice 帮助话题中,在"搜索"的对话框打入FFT搜索就会出现的,看来阁下比LT公司还要"高明"?

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发表于 2010-4-23 23:58 | 显示全部楼层
你告诉我,你自己贴的一堆LT Spice help中的英文是什么意思嘛!我看不懂,哈哈哈哈哈

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发表于 2010-4-24 09:51 | 显示全部楼层
34# soundgood


你告诉我,你自己贴的一堆LT Spice help中的英文是什么意思嘛!我看不懂,哈哈哈哈哈


你不是很懂得FFT的吗?那些英文全都是LT Spice help 中与FFT有关系的.

你现在该说明FFT怎么样误导人,如果你无法说明,就等于是承认你自己在发出误导人的错误信息,不过纵使你没公开承认,明眼人一看也知道你是发出误导人的信号或者是......。

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社区贡献 论坛版主

发表于 2010-4-24 09:57 | 显示全部楼层
看不懂 一场高手的较量

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发表于 2010-4-24 10:22 | 显示全部楼层
10# soundgood


ch639827608 ,你这个快速傅里叶分析是误导人,请你先搞清楚FFT是什么原理吧。


这快速傅立叶变换怎么样误导人?请说明!

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发表于 2010-4-25 01:17 | 显示全部楼层
最后回你的贴!

我知道你拿FFT当频谱响应来用,所以说你误导人,好了吧!

拜托,不懂英文就不要拿那些英文来唬人,那些不过是LT Spice 用来说明LT Spice 如何计算FFT,而不是FFT的原理说明,可以说,任何不懂LT Spice 的人,都不懂得你那些英文是什么意思,我贴的那些英文才是FFT的说明!

不想跟你吵了,爱干啥干啥好了!

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发表于 2010-4-25 08:26 | 显示全部楼层
38# soundgood


最后回你的贴!

我知道你拿FFT当频谱响应来用,所以说你误导人,好了吧!

拜托,不懂英文就不要拿那些英文来唬人,那些不过是LT Spice 用来说明LT Spice 如何计算FFT,而不是FFT的原理说明,可以说,任何不懂LT Spice 的人,都不懂得你那些英文是什么意思,我贴的那些英文才是FFT的说明!

不想跟你吵了,爱干啥干啥好了!


请问这里我在哪一楼把FFT当频响来用?我任何时候也没说过FFT等于我们习惯上说的频响。这你就胡说八道了!
谁不知道,傅立叶变换是把时域变换为频域来分析谐波。


Fast Fourier transform(快速傅立叶变换) ,简称FFT,
Fourier transform(傅立叶变换),简称FT。


在8楼和9楼我有说过FFT是频响吗?

在8楼和9楼的FFT图说明,纵使输出达到+/-15v其谐波情况和+/-2v时未见明显差别,这说明你说的运放输出为电源电压的1/10较理想是没什么根据的。

任何懂LT Spice的人都是从不会到会的,在学的过程中都要看那说明的。

这才是频响

这才是频响

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发表于 2010-4-25 10:43 | 显示全部楼层
......the FFT of a discrete set points in frequency domain response.......〔这一句话摘自LT Spice help 关于脉冲波形的快速傅立叶变换说明〕
中译文:......频域响应的不连续的点的集合的FFT......


frequency domain response(频率领域的响应),
可见,FFT也是属于频率响应的范围,当然主要是关于谐波的响应。


以下两图是同一款前级的FFT和线性仿真图,图形的整体走向趋势很相似。

JFET SRPP 的正弦波和FFT仿真

JFET SRPP 的正弦波和FFT仿真

JFET SRPP 的线性仿真

JFET SRPP 的线性仿真
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