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Our technology is becoming more and more developed, and a series of electronic products have been developed. But no matter how good the electronic products are, there will still be a series of problems if they are used for a long time. When this phenomenon exists, we need a multi-functional electronic measuring instrument.
What we are preparing for you today is a multi-functional electronic measuring instrument - spectrum analyzer and its principle and function.
First, let's understand what a spectrum analyzer is.
A spectrum analyzer is a machine used to study the spectral structure of electrical signals. It is an indispensable equipment for the measurement of radio signals in our modern era, and it is also indispensable for the development and production of electronic products. Therefore, it is also called "the RF multimeter of engineers", which is a high evaluation of its wide range of use.
After we have a brief understanding of the basics of spectrum analyzers, let's go on a journey of the principles of spectrum analyzer nuclei.
The spectrum analyzer has a number of function control buttons on the work panel, which are used to adjust and control the system functions. The principle of the spectrum analyzer is that it responds differently to different frequency signals (mainly reflected in its filters and detectors), and then transmits the scanned signal to our CRT screen through the multi-task scanner to facilitate the recording of its data by our staff.
The above is the working principle of the spectrum analyzer, so what are its functions and advantages and disadvantages?
In fact, the function of the spectrum analyzer has been mentioned above, it is mainly for the research and development, production and inspection of electronic products, and then in detail is to measure the distortion, modulation and purity of the received signal.
The advantages of spectrum analyzer are: the practical performance of the product is very high, the application range is very wide, and it has brought a lot of convenience to our work;
The disadvantages of the spectrum analyzer are: the noise emitted by the spectrum analyzer when it is working is a bit loud, and it is also relatively expensive and the calculation time is more than 200ms, so there will be certain problems in our observation.
The above is an introduction to the principle and function of the spectrum analyzer brought to you today. According to the collected data, the general market price of the spectrum analyzer is between 4000-8000 yuan, and some of them are more than 10,000 yuan, and a few are very expensive. Therefore, the advice is that everyone should consider their own needs when choosing to buy, and do not be deceived and spend unjustly money.
You can get it for free
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There is a basis behind the parameter setting of the spectrum analyzer, and if you want to learn how to use the spectrum analyzer, you have to understand the construction principle of the spectrum analyzer. A brief introduction to the geophone selection summarized by our technical team:
Sets the detection method for the current measurement and applies the detection method to the current trace. Selectable geophone types include: Positive Peak, Negative Peak, Standard, Sampling, RMS Average, or Voltage Average.
1.Positive peak.
For each point on the trace, the positive peak detection shows the maximum value in the sampled data for the corresponding time interval.
2.Negative peaks.
For each point on the trace, the negative peak detection shows the minimum value in the sampled data for the corresponding time interval.
3.Standard Detection.
Standard detection (also known as normal detection or rosenfell detection) selects the maximum and minimum values in the sampled data segment in turn, that is, for each odd number point on the trace, the minimum value of the sampled data is displayed, and for each even number point on the trace, the maximum value of the sampled data is displayed. The amplitude variation range of the signal can be visually observed using standard detection.
4.Sampling detection.
For each point on the trace, the sampling detection shows the transient level corresponding to the time point at the center of the corresponding time interval. Sampling detection is suitable for noise or noise-like signals.
5.RMS averaged.
For each data point, the geophone performs a root mean square calculation on the sampled data in the corresponding time interval (see Equation (2-8)) to display the calculation result. The RMS average detection suppresses noise and observes weak signals.
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In a nutshell:
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