High Resolution Digital Audio

Slides:



Advertisements
Similar presentations
Analog Representations of Sound Magnified phonograph grooves, viewed from above: When viewed from the side, channel 1 goes up and down, and channel 2 goes.
Advertisements

Digital Signal Processing
Dale & Lewis Chapter 3 Data Representation Analog and digital information The real world is continuous and finite, data on computers are finite  need.
Chapter 4: Representation of data in computer systems: Sound OCR Computing for GCSE © Hodder Education 2011.
Analogue to Digital Conversion (PCM and DM)
Speech Compression. Introduction Use of multimedia in personal computers Requirement of more disk space Also telephone system requires compression Topics.
Analog-to-Digital Conversion
4-Integrating Peripherals in Embedded Systems (cont.)
From the air to the iPod. Minute disturbances in the air, caused by a vibrating object Air molecules bunch together, then spread out Changes in density.
The Design of a Delta Sigma Modulator Presented by: Sameh Assem Ibrahim 24-July-2003.
Sampling and quantization Seminary 2. Problem 2.1 Typical errors in reconstruction: Leaking and aliasing We have a transmission system with f s =8 kHz.
Multimedia communications EG-371Dr Matt Roach Multimedia Communications EG 371 and EG 348 Dr Matthew Roach Lecture 2 Digital.
1 Audio Compression Techniques MUMT 611, January 2005 Assignment 2 Paul Kolesnik.
Digital Audio Basics “Any signal can be completely reconstructed from samples.” - Harry Nyquist.
Why prefer CMOS over CCD? CMOS detector is radiation resistant Fast switching cycle Low power dissipation Light weight with high device density Issues:
Digital Voice Communication Link EE 413 – TEAM 2 April 21 st, 2005.
Chapter 2 Fundamentals of Data and Signals
1 Chapter 2 Fundamentals of Data and Signals Data Communications and Computer Networks: A Business User’s Approach.
Analog and Digital Transmission Interfaces and Multiplexing (Physical Layer) Lita Lidyawati 2012.
Data Acquisition. Data Acquisition System Analog Signal Signal Conditioner ADC Digital Processing Communication.
Fundamentals of Digital Audio. The Central Problem n Waves in nature, including sound waves, are continuous: Between any two points on the curve, no matter.
 Principles of Digital Audio. Analog Audio  3 Characteristics of analog audio signals: 1. Continuous signal – single repetitive waveform 2. Infinite.
Digital Communication Techniques
Time Code and Word Clock
Department of Electrical & Computer Engineering 1 ES585a - Computer Based Power System Protection Course by Dr.T.S.Sidhu - Fall 2005 Class discussion presentation.
Fundamentals of...Fundamentals of... Fundamentals of Digital Audio.
EE 445S Real-Time Digital Signal Processing Lab Spring 2014 Lecture 11 Data Conversion Slides by Prof. Brian L. Evans, Dept. of ECE, UT Austin, and Dr.
Digital to Analogue Conversion Natural signals tend to be analogue Need to convert to digital.
 Continuous sequence of vibrations of air  (Why no sound in space? Contrary to Star Wars etc.)  Abstraction of an audio wave:  Ear translates vibrations.
Formatting and Baseband Modulation
Digital audio. In digital audio, the purpose of binary numbers is to express the values of samples that represent analog sound. (contrasted to MIDI binary.
Digital Audio What do we mean by “digital”? How do we produce, process, and playback? Why is physics important? What are the limitations and possibilities?
DIGITAL VOICE NETWORKS ECE 421E Tuesday, October 02, 2012.
Fundamentals Rawesak Tanawongsuwan
1 4-Integrating Peripherals in Embedded Systems (cont.)
CMPT 365 Multimedia Systems
Filters and Delta Sigma Converters
Digital Recording Theory Using Peak. Listening James Tenney, Collage #1 (“Blue Suede”),  Available in Bracken Library, on James Tenney Selected.
10/6/2015 3:12 AM1 Data Encoding ─ Analog Data, Digital Signals (5.3) CSE 3213 Fall 2011.
Signal Digitization Analog vs Digital Signals An Analog Signal A Digital Signal What type of signal do we encounter in nature?
Images, Sound, and Multimedia. No Surprises Images, Sound, Music, and Movies – It’s all numbers – Binary Numbers Today we’ll discuss how multimedia is.
1 Audio Compression. 2 Digital Audio  Human auditory system is much more sensitive to quality degradation then is the human visual system  redundancy.
FE8113 ”High Speed Data Converters”. Course outline Focus on ADCs. Three main topics:  1: Architectures ”CMOS Integrated Analog-to-Digital and Digital-to-
CS Spring 2009 CS 414 – Multimedia Systems Design Lecture 3 – Digital Audio Representation Klara Nahrstedt Spring 2009.
Digital Audio System PCM streams have two basic properties that determine their fidelity to the original analog signal: the sampling rate, which is the.
Chapter 12 The Principles of Computer Music Contents Digital Audio Processing Noise Reduction Audio Compression Digital Rights Management (DRM)
1 Manipulating Audio. 2 Why Digital Audio  Analogue electronics are always prone to noise time amplitude.
4.2 Digital Transmission Pulse Modulation Pulse Code Modulation
Chapter 2 Fundamentals of Data and Signals
Basics of Digital Audio Module (revised)
Fundamentals of Multimedia Chapter 6 Basics of Digital Audio Ze-Nian Li and Mark S. Drew 건국대학교 인터넷미디어공학부 임 창 훈.
Pulse Code Modulation (PCM) Analog voice data must be translated into a series of binary digits before they can be transmitted. With Pulse Code Modulation.
Digital Audio Hygiene Alistair Hirst OMNI Audio Theory and Practice.
Lifecycle from Sound to Digital to Sound. Characteristics of Sound Amplitude Wavelength (w) Frequency ( ) Timbre Hearing: [20Hz – 20KHz] Speech: [200Hz.
Analog to digital conversion
Multimedia: Digitised Sound Data
DATA COMMUNICATION Lecture-16.
PCM (Pulse Code Modulation)
UNIT II.
Chapter 3 Sampling.
Digital Audio Processing
Chapter 2 Signal Sampling and Quantization
Data Conversion Slides by Prof. Brian L. Evans, Dept. of ECE, UT Austin, and Dr. Thomas D. Kite, Audio Precision, Beaverton, OR
Digital Control Systems Waseem Gulsher
COMS 161 Introduction to Computing
Assist. Lecturer Safeen H. Rasool Collage of SCIENCE IT Dept.
Analog to Digital Encoding
Govt. Polytechnic Dhangar(Fatehabad)
ELEN E4810: Digital Signal Processing Topic 11: Continuous Signals
Presentation transcript:

High Resolution Digital Audio

Review of vocabulary Prefixes: k = 1,000 Bit = 1 binary digit M = 1,000,000 G = 1,000,000,000 Bit = 1 binary digit Byte = 8 bits Bandwidth = size of a pipe through which data can flow; measured in bps (bits per second)

Sampling Rate An analog signal is “sampled” - i.e. snapshot measurements of its level at given moments in time Nyquist: you must sample at 2x the highest frequency present in the signal Nyquist limit = highest frequency you can reproduce without aliasing; equal to ½ the sample rate; You must have an antialiasing filter to attenuate frequencies above your Nyquist limit The higher your sampling rate, the higher your Nyquist limit

Bit Depth Every sample is encoded into a number Your computer uses binary numbers; Each number must be a certain number of bits long In a 16 bit system, even zero must be a 16 digit number = 0000 0000 0000 0000 Any value between bits must be quantized More bits = less error; less error = less noise Defines signal to noise & dynamic range 6 dB per bit

Sigma Delta DSD – Direct Stream Digital Different from PCM – Pulse Density Modulation Hard to work with in post – Sonoma System 1-bit converter with extremely high sample rate (2.8MHz) Low bit, high-sample rate converters are the norm Sometimes 4-bit or 8-bit “Oversampling” converter design very common Starts with high SR low bit-depth Decimated & converted to PCM 64 times 44.1 kHz (DSD64)

DXD PCM with Ultra-high sampling rates Merging Technologies Pyramix 352.8 kHz / 24-bit Merging Technologies Pyramix

Can we hear the difference? In PCM, do higher sampling rates matter? We can't “hear” above 20 kHz...

Aliasing When a frequency exceeds the Nyquist limit, it is folded back into the audible spectrum 30 kHz becomes 10 kHz If higher frequencies are not adequately attenuated, this could cause distortion or noise in the signal Anti-aliasing filters can cause artifacts of their own Higher sampling rates push Nyquist limit higher Good anti-aliasing filters make a difference

Dither Random noise applied to a signal Usually represents LSB There are many kinds of dither Can be “Noise Shaped” Suppresses correlated noise Increases dynamic range Should be applied anytime there is a conversion from higher bit depth to lower Should be the very last thing applied to your mix

Data Compression Lossy algorithms Lossless algorithms Mp3; DTS; Dolby AC-3 Perceptual coding Lossless algorithms Meridian Lossless Packing FLAC

Delivery Formats DVD-Audio: PCM Capable of 2-ch 96 kHz/24-bit Or PCM 5.1 surround sound at 44.1 kHz SACD Super Audio CD – DSD Blu-Ray 2 ch: 192 kHz/ 24-bit 5.1 surround: 96 kHz / 24-bit Also 7.1 and 9.1 Downloads No more need for a delivery format