{"id":1070,"date":"2020-04-05T20:34:46","date_gmt":"2020-04-05T20:34:46","guid":{"rendered":"http:\/\/mp4gain.com\/mp4gain\/?p=1070"},"modified":"2020-04-05T20:34:46","modified_gmt":"2020-04-05T20:34:46","slug":"mp3-audio-compression","status":"publish","type":"post","link":"https:\/\/mp4gain.com\/mp4gain\/mp3-audio-compression\/","title":{"rendered":"Mp3: Audio Compression."},"content":{"rendered":"

Audio Digitization.<\/p>\n

Sound is a continuous wave that propagates through air or other media, formed by
\npressure differences, so that it can be detected by measuring the pressure level in a
\npoint. Sound waves have the proper and measurable characteristics of waves in general,
\nsuch as reflection, refraction and diffraction. As it is a continuous wave, a
\ndigitization process to represent it as a series of numbers. Currently, most of
\nthe operations carried out on sound signals are digital, since both storage and
\nprocessing and transmission of the signal in digital form offers very significant advantages over
\nanalog methods. Digital technology is more advanced and offers greater possibilities, less
\nsensitivity to transmission noise and ability to include error protection codes,
\nas well as encryption. With the appropriate decoding mechanisms, moreover, they can be treated
\nsimultaneously signals of different types transmitted on the same channel. The disadvantage
\nmain aspect of the digital signal is that it requires a much greater bandwidth than that of the signal
\nanalog, hence an exhaustive study is carried out regarding data compression,
\nsome of whose techniques will be the center of our study.
\nThe digitization process consists of two phases: sampling and quantization. In the sampling,
\nDivide the time axis into discrete segments: the sampling frequency will be the inverse of time
\nthat mediates between one measurement and the next. At this time the quantization is performed, which, in its
\nIn the simplest way, it is simply to measure the signal value in amplitude and save it.<\/p>\n

\"\"<\/a><\/p>\n

Nyquist’s theorem guarantees that the frequency necessary to sample a signal that has its
\nHigher components at a given frequency f is at least 2f. Therefore, the range being
\nhigher than human hearing around 20 Khz., the frequency that guarantees a sampling
\nsuitable for any audible sound will be about 40 Khz. Specifically, to get sound
\nHigh-quality frequencies of 44.1 Khz are used, in the case of CD, for example, and up to 48 Khz.
\nin the case of the DAT. Other typical values \u200b\u200bare submultiples of the first, 22 and 11 Khz. According to
\nnature of the application of course the appropriate frequencies can be much lower
\nsuch that the voice process is usually carried out at a frequency of between 6 and 20 Khz. or
\neven less. Regarding quantization, it is evident that the more bits used for the
\naxis division of amplitude, the “finer” the partition will be and therefore the less error in attributing
\na concrete amplitude to the sound at every moment. For example, 8 bits offer 256 levels of
\nquantization and 16, 65536. The dynamic range of human hearing is about 100 dB. The
\naxis division can be performed at equal intervals or according to a certain density function,
\nlooking for more resolution in certain sections if the signal in question has more components in a certain
\nintensity zone, as we will see in the coding techniques.
\nThe complete process is usually called PCM (Pulse Code Modulation) and so we
\nWe will refer to it hereinafter. It has been described in a very simplistic way, mainly
\nbecause it is widely discussed and is well known, being the field of study of
\nthis work. However, we will go into detail at any time that is necessary for the
\ndevelopment of the exhibition.
\n1.2 Coding and Compression.
\nBefore describing compression and encoding systems, we must pause briefly.
\nanalysis of human auditory perception, to understand why a quantity
\nSignificant information that the PCM provides can be discarded. The heart of the matter,
\nas far as we are concerned, it is based on a phenomenon known as masking.
\nThe human ear perceives a frequency range between 20 Hz. And 20 Khz. First of all, the
\nsensitivity is higher in the area around 2-4 Khz., so that the sound is more
\nhardly audible the closer to the ends of the scale. Second is the
\nmasking, whose properties exhaustively use the most interesting algorithms:
\nwhen the component at a certain frequency of a signal has high energy, the ear cannot
\nperceive lower energy components at close frequencies, both lower and higher. TO
\na certain distance from the masking frequency, the effect is reduced so much that
\nnegligible; the range of frequencies in which the phenomenon occurs is called the critical band
\n(critical band). Components belonging to the same critical band influence each other and
\nthey do not affect nor are affected by those that appear outside it<\/p>\n","protected":false},"excerpt":{"rendered":"

Audio Digitization. Sound is a continuous wave that propagates through air or other media, formed by pressure differences, so that it can be detected by measuring the pressure level in a point. Sound waves have the proper and measurable characteristics of waves in general, such as reflection, refraction and diffraction. As it is a continuous … Continue reading “Mp3: Audio Compression.”<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[257],"tags":[24682,24686,24687,27963,20954,24679,20948,20949,20942,20945,20943,27918,20944,27919,20955,24525,27920,24524,20960,20958,20957,20962,20970,20967,20964,27872,24527,24522,20968,27921,25115,20966,27957,27922,20937,27923,20972,20974,24529,20975,20973,20984,20981,27925,20983,27924,20985,20980,20941,20994,20993,20992,27908,20989,20990,27899,20938,24532,24537,27926,24541,20999,24535,20998,24536,24539,24546,24547,24549,24545,24548,24672,24550,24560,24556,24558,24555,27937,24554,27905,27929,24561,24562,24565,24573,24572,24567,27933,24571,24568,24566,24570,27934,24579,24582,24581,27962,24576,24578,24577,24580,24586,24585,27936,27935,24584,27939,24593,24595,24594,24591,24592,27938,27912,24608,24601,27940,24602,24600,27932,27941,24605,24603,24615,24616,24617,24623,20936,28063,27943,24625,24636,24633,28065,24634,20939,24635,20940,24631,6634,27942,27946,24640,24639,24648,24647,24649,24551,27930,24646,27952,24645,27951,27953,24654,24663,24664,24666,24665,24588,24661,24662,27955,27906,24674,27927,27928,27949,27950,27947,27948,24587,24628,24627,24655,24656,24658,27954,24660,20969,24622,28064,28066,24544,24543,24564,24563,24680,24684,27961,27958,27959,24619,24613,24610,24611,24612,24614,24575,24621,20950,24685,20952,20953,24669,24673,24671,27960,24676,24675,27956,24678],"class_list":["post-1070","post","type-post","status-publish","format-standard","hentry","category-audio-normalizer","tag-24-bit-audio-compression","tag-5-1-audio-compression","tag-7z-audio-compression","tag-7zip-audio-compression","tag-a-tutorial-on-mpeg-audio-compression","tag-audio-compression-101","tag-audio-compression-adobe-audition","tag-audio-compression-adobe-premiere","tag-audio-compression-algorithms","tag-audio-compression-and-decompression","tag-audio-compression-app","tag-audio-compression-artifacts","tag-audio-compression-attack-and-release","tag-audio-compression-audacity","tag-audio-compression-basics","tag-audio-compression-benchmarks","tag-audio-compression-best-video","tag-audio-compression-bitrate","tag-audio-compression-bits","tag-audio-compression-bluetooth","tag-audio-compression-book","tag-audio-compression-box","tag-audio-compression-c-code","tag-audio-compression-calculator","tag-audio-compression-camtasia","tag-audio-compression-can-be-used-for","tag-audio-compression-chart","tag-audio-compression-cheat-sheet","tag-audio-compression-cheat-sheet-pdf","tag-audio-compression-circuit","tag-audio-compression-codec-windows-7","tag-audio-compression-codecs","tag-audio-compression-codecs-windows-10","tag-audio-compression-deep-learning","tag-audio-compression-definition","tag-audio-compression-device","tag-audio-compression-diagram","tag-audio-compression-digital","tag-audio-compression-drivers","tag-audio-compression-drums","tag-audio-compression-dsp","tag-audio-compression-echo","tag-audio-compression-effect","tag-audio-compression-equation","tag-audio-compression-error","tag-audio-compression-examples","tag-audio-compression-exe","tag-audio-compression-exercises","tag-audio-compression-explained","tag-audio-compression-file-types","tag-audio-compression-final-cut-pro-x","tag-audio-compression-for-dummies","tag-audio-compression-for-live-streaming","tag-audio-compression-for-streaming","tag-audio-compression-for-tv","tag-audio-compression-format","tag-audio-compression-formats","tag-audio-compression-free","tag-audio-compression-g-711","tag-audio-compression-g-711u","tag-audio-compression-game","tag-audio-compression-github","tag-audio-compression-graph","tag-audio-compression-guide","tag-audio-compression-guide-pdf","tag-audio-compression-guidelines","tag-audio-compression-hardware","tag-audio-compression-headphones","tag-audio-compression-hearing","tag-audio-compression-history","tag-audio-compression-hitfilm","tag-audio-compression-in-final-cut-x","tag-audio-compression-in-hindi","tag-audio-compression-in-imovie","tag-audio-compression-in-internet","tag-audio-compression-in-matlab","tag-audio-compression-in-multimedia","tag-audio-compression-in-networking","tag-audio-compression-in-premiere-pro","tag-audio-compression-in-python","tag-audio-compression-is-usually","tag-audio-compression-java","tag-audio-compression-journal","tag-audio-compression-knee","tag-audio-compression-lesson","tag-audio-compression-level","tag-audio-compression-library-android","tag-audio-compression-light-or-heavy","tag-audio-compression-linux","tag-audio-compression-listening-tests","tag-audio-compression-lossless","tag-audio-compression-lossy-and-lossless","tag-audio-compression-machine-learning","tag-audio-compression-manager","tag-audio-compression-manager-c","tag-audio-compression-manager-download","tag-audio-compression-manager-windows-7","tag-audio-compression-matlab","tag-audio-compression-meaning","tag-audio-compression-meth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Audio Compression. - mp4gain.com<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/mp4gain.com\/mp4gain\/mp3-audio-compression\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Mp3: Audio Compression. - mp4gain.com\" \/>\n<meta property=\"og:description\" content=\"Audio Digitization. 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