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introducing the basic elements of the frequency domain, we can look at a rectangular wave, another pattern in the frequency domain: What kind of strange thing is this? This is the appearance of the rectangular wave in the frequency domain, is not completely recognized? Textbooks are usually given here and then left to the reader endless reverie, and endless spit groove, in fact, as long as the textbook to fill a picture is enough: frequency domain image, known as the

phases. In the first example, we can understand that you can combine any piece of music by tapping different keys at different times. One of the methods that run through the time domain and frequency domain is the Fourier analysis in the text of the biography. Fourier analysis can be divided into Fourier series (Fourier Serie) and Fourier Transformation (Fourier transformation). Let's start with a simple introduction.2. Spectrum of Fourier Series Let

domain and frequency domain is the Fourier analysis in the text of the biography. Fourier analysis can be divided into Fourier series (Fourier Serie) and Fourier Transformation (Fourier transformation). Let's start with a simple introduction. 2. Spectrum of Fourier Series Let's just give a chestnut and understand it with a picture of the truth. If I say that I can use the sine wave mentioned above to create a rectangular wave with a 90 degree angle,

Who is the first killer of wireless networks? The answer is, of course, "wireless jamming." So when you face the ubiquitous annoying killer, can you handle it calmly? Do you have the right approach? In the face of the internet circulated about the "killer" all kinds of rumors, what is true, which is false? This article will be with you to find out about the wireless interference of the five wrong statements. Error statement one: Deploying high-density wireless access points can over

completely recognized? Textbooks are usually given here and then left to the reader endless reverie, and endless spit groove, in fact, as long as the textbook to fill a picture is enough: frequency domain image, known as the spectrum, is-- A little clearer: It can be found that in the spectrum, the amplitude of even-numbered items is 0, which corresponds to the color line in the graph. Sine wav

spit groove, in fact, as long as the textbook to fill a picture is enough: frequency domain image, known as the spectrum, is--A little clearer:It can be found that in the spectrum, the amplitude of even-numbered items is 0, which corresponds to the color line in the graph. Sine wave with an amplitude of 0.Moving diagram please poke:File:fourier Series and Transform.gifTo be honest, when I was studying the

rotatedAnd here:Point out of the friends do not be turned off the wiki, Wiki wrote where the article is not moral integrity this is not.After introducing the basic elements of the frequency domain, we can look at a rectangular wave, another pattern in the frequency domain:What kind of strange thing is this?This is the appearance of the rectangular wave in the frequency domain, is not completely recognized? Textbooks are usually given here and then left to the reader endless reverie, and endless

[Portal] [Automatic Speech Recognition Course] Lesson 1 Statistical Speech Recognition Address: http://blog.csdn.net/joey_su/article/details/36414877 Please indicate the source for reprinting. Please contact us. Overview ASR Speech Signal Analysis Features Spectrum Analysis Cepstrum Analysis Standard features: MFCC and PLP Analysis Dynamic Features At the end of the first lesson, we mentioned the block diagram of speech recognition, which sh

rectangular wave in the frequency domain, is not completely recognized? Textbooks are usually given here and then left to the reader endless reverie, and endless spit groove, in fact, as long as the textbook to fill a picture is enough: frequency domain image, known as the spectrum, is--A little clearer:It can be found that in the spectrum, the amplitude of even-numbered items is 0, which corresponds to th

wave in the frequency domain, is not completely recognized? Textbooks are usually given here and then left to the reader endless reverie, and endless spit groove, in fact, as long as the textbook to fill a picture is enough: frequency domain image, known as the spectrum, is--A little clearer:It can be found that in the spectrum, the amplitude of even-numbered items is 0, which corresponds to the color line

integrity this is not.After introducing the basic elements of the frequency domain, we can look at a rectangular wave, another pattern in the frequency domain:What kind of strange thing is this?This is the appearance of the rectangular wave in the frequency domain, is not completely recognized? Textbooks are usually given here and then left to the reader endless reverie, and endless spit groove, in fact, as long as the textbook to fill a picture is enough: frequency domain image, known as the

With the development of the communication network towards broadband and mobile, the optical fiber wireless communication system (ROF) integrates Optical Fiber Communication and wireless communication, giving full play to the advantages of broadband and anti-interference of optical fiber lines, at the same time, it makes full use of the convenient and flexible wireless communication to meet people's needs for broadband. Early ROF technology was designed to provide high-frequency wireless transmis

With the rapid development of wireless communication technology, spectrum resources, especially those under 3 GHz, become increasingly tense. Due to the emergence of Wireless LAN technology and wireless network technology, more and more people are using these technologies to connect to the Internet and telecommunication networks wirelessly. Most of these technologies use non-authorized frequency bands to make these frequencies saturated. However, some

Summary Starting from the analysis of GSM spectrum efficiency, this paper analyzes the loss of spectrum efficiency of voice service after the GSM network is upgraded to GPRS, and the new data service access ability, and finally takes into account the maximum access ability of the integrated service under GSM current spectrum from the mutual substitution between

During the course of study, this parameter is often used. Later I worked mainly on audio/speech codec, but the concept of cepstrum was rarely used. I saw these words when I read a paper today, I think it is very practical. Let's review this signal feature. Time-cepstrum analysis is very effective when extracting the signal characteristics transmitted by the carrier. Cepstrum is widely used in the extraction of Speech Recognition feature parameters. This is because the essence of speech is the

to implement spectrum analysis or other work on the computer. The computer's requirement for signals is that both the time domain and frequency domain must be discrete and must be finite. While Fourier transform (FT) can only process continuous signals, DFT is born in response to such a need. It is the representation of Fourier transformation in discrete fields. However, in general, the calculation of DFT is very large. Before the first high-speed Fo

, signal processing, and other fields. We hope to implement spectrum analysis or other work on the computer. The computer's requirement for signals is that both the time domain and frequency domain must be discrete and must be finite. While Fourier transform (FT) can only process continuous signals, DFT is born in response to such a need. It is the representation of Fourier transformation in discrete fields. However, in general, the calculation of DFT

to implement spectrum analysis or other work on the computer. The computer's requirement for signals is that both the time domain and frequency domain must be discrete and must be finite. While Fourier transform (FT) can only process continuous signals, DFT is born in response to such a need. It is the representation of Fourier transformation in discrete fields. However, in general, the calculation of DFT is very large. Before the first high-speed Fo

FFT (Fast Fourier transformation) is a classic algorithm used for digital signal processing. Many people who have studied DSP or chip design know this algorithm. However, have you ever wondered why there are so many FFT operations in digital signal processing? Some may say that in order to analyze the signal spectrum. The problem below is to analyze the daily needs of the spectrum, such as mobile phone call