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Understanding Audio data, Fourier Transform, FFT and ...

    https://towardsdatascience.com/understanding-audio-data-fourier-transform-fft-spectrogram-and-speech-recognition-a4072d228520#:~:text=DFT%20converts%20a%20sequence%20%28discrete%20signal%29%20into%20its,convert%20this%20time-domain%20discrete%20signal%20into%20a%20frequency-domain.
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Digital Audio 101 | TV Tech

    https://www.tvtechnology.com/opinions/digital-audio-101
    In the frequency domain when the wideband signal is sampled below the Nyquist rate, the signal is aliased in the neighborhood of frequency fs/2, where the components overlap, and cannot be fully recovered in any subsequent processing.

7.3.4 Filtering in the Time and Frequency Domains ...

    http://digitalsoundandmusic.com/7-3-4-filtering-in-the-time-and-frequency-domains/
    7.3.4 Filtering in the Time and Frequency Domains. In Chapter 2, we showed how the Fourier transform can be applied to transform audio data from the time to the frequency domain. The Fourier transform is a function that maps from real numbers (audio samples in the time domain) to complex numbers (frequencies, which have magnitude and phase). We ...

Understanding Audio data, Fourier Transform, FFT and ...

    https://towardsdatascience.com/understanding-audio-data-fourier-transform-fft-spectrogram-and-speech-recognition-a4072d228520
    To better understand the audio signal, it is necessary to transform it into the frequency-domain. The frequency-domain representation of a signal tells us what different frequencies are present in the signal. Fourier Transform is a mathematical concept that can convert a continuous signal from time-domain to frequency-domain. Let’s learn more about Fourier Transform.

Digital Audio Filter

    http://cv.cs.nthu.edu.tw/upload/courses/14/uploads/CS3570_Chapter5_part2.pdf
    Digital Audio Compression •Time-Based Compression Methods •No need to transform the data into frequency domain. •A-law encoding, μ-law encoding(Ch4) …etc. •These methods are often considered conversion techniques rather than compression methods. •The most effective audio compression methods require some information about the frequency

DIGITAL AUDIO EFFECTS - Stanford University

    https://ccrma.stanford.edu/~orchi/Documents/DAFx.pdf
    • EXPLANATION: In the code, the center frequency (or resonant frequency) is varied as a triangle wave with values between 500Hz to 3000Hz with a step size of 2000/fs (sampling frequency is 44100Hz for all audio applications). % must be recalculated each time Fc changes

MQA Time-domain Accuracy & Digital Audio Quality

    https://www.soundonsound.com/techniques/mqa-time-domain-accuracy-digital-audio-quality
    Historically, our analysis and assessment of audio equipment has been based primarily on its frequency-domain performance. That emphasis has influenced the ubiquitous use of linear-phase ‘brick-wall’ filters in digital equipment, since they offer a convenient way of achieving a near-perfect frequency-domain characteristic (with negligible ...

Digital audio - Wikipedia

    https://en.wikipedia.org/wiki/Digital_audio
    Digital audio is a representation of sound recorded in, or converted into, digital form. In digital audio, the sound wave of the audio signal is typically encoded as numerical samples in a continuous sequence. For example, in CD audio, samples are taken 44,100 times per second, each with 16-bit sample depth. Digital audio is also the name for the entire technology of sound …

Audio and Digital Signal Processing(DSP) in Python

    https://new.pythonforengineers.com/blog/audio-and-digital-signal-processingdsp-in-python/
    Let’s start with the code. # frequency is the number of times a wave repeats a second frequency = 1000 noisy_freq = 50 num_samples = 48000 # The sampling rate of the analog to digital convert sampling_rate = 48000.0. Copy. The main frequency is a 1000Hz, and we will add a noise of 50Hz to it.

Digital Audio Broadcasting

    http://www.ee.ic.ac.uk/hp/staff/dmb/courses/dab/dab_1.pdf
    • Centre frequency, f 0 ≈220 MHz (Band III) – Wavelength > 1 m ⇒diffraction around objects – Lower frequencies are full up • Total bandwidth = 1.537 MHz – Needs to be > 1.5 MHz for fading to be frequency selective – < 1.6 MHz to fit four into a …

Lecture 9 Analog and Digital I/Q Modulation

    https://web.mit.edu/6.02/www/f2006/handouts/Lec9.pdf
    • Frequency Domain View Digital I/Q Modulation • Phase Shift Keying • Constellations Lecture 9 Analog and Digital I/Q Modulation. 11/4/2006 L Lecture 9 Fall 2006 2 Coherent Detection • Requires receiver local oscillator to be accurately aligned in phase and frequency to carrier sine wave 2cos(2πf ot) y(t) 2cos(2πf ot)

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