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White Papers

White Papers

How Digital Signal Processing Can Enhance the Utility and Performance of Microphones

Published on: 03/10/2016
Smartphones and the Internet of Things have made microphones much more vital in today’s technology. In this paper, the author describes a technology for digital processing of microphone signals that requires no coding skills or DSP expertise.


How a graphical audio development tool can simplify embedded audio product creation

Published on: 01/27/2016
Audio products are becoming more complex, as are consumers’ expectations of them. Creating these products—from concept to R&D and tuning—can be difficult and time-consuming. In this paper, we will discuss the challenges in the product creation phases and explain how the combination of a graphical audio development tool with a low-power image processing DSP can transform what has long been an inefficient process


How to shorten and simplify your embedded development cycle - Part 2

Published on: 01/12/2016
With the right process and tool, it is possible to cut audio DSP software development process by 90% of the time. In this paper, you will see how that can be done.


How to shorten and simplify your embedded development cycle

Published on: 12/16/2015
Learn how traditional ways of developing embedded audio projects is no longer suitable in a fast moving world with ever shortening product cycles and customers that demand higher quality innovations.


Audio Weaver Testimonial from Sennheiser

Published on: 09/28/2015
Here is an interview conducted with Dan Harris, Chief Technology Officer with Sennheiser. Sennheiser has adopted Audio Weaver as a platform across all their product divisions.


Automotive Audio using the Atmel SAMV7

Published on: 05/05/2015
This presentation was given at the Embedded World Conference in Nuremberg in 2015. We present an 8 channel automotive audio system based on the Atmel SAMV7 processor. The SAMV7 is an ARM Cortex-M7 processor running at 300 MHz and is sufficient for most low- to mid-level automotive audio systems.


Choosing the best processor for your audio product

Published on: 10/27/2014
This is the presentation made at the AES 2014 Conference at the product developer's track. This paper contains benchmarking information for the different processors. There is some surprising results with the new ARM Cortex-M4 and M7 microcontrollers as well as how much can be achieved on the Cortex-A processors. This will help you choose the best processor when developing your audio product.


Developing High-Quality Audio for Consumer Electronics Applications using a single MCU – STM32

Published on: 06/19/2012
Presents the Audio Weaver reference design based on the STM32 Cortex-M4 processor. Suitable for multimedia speakers, headphones, and docking stations.


Real-time Audio Processing Capabilities of Microcontrollers, Applications Processor, and DSPs.

Published on: 10/21/2011
Slides presented at the Audio Engineering Society Conference in October 2011.


Hardware Accelerators Boost the Performance of Next-Generation SHARC Processors (in German)

Published on: 02/01/2009


Real Time Embedded Audio Signal Processing

Published on: 10/05/2008
Short Course presented at the ALMA International Conference in 2008.


Hardware Accelerators Boost the Performance of Next-Generation SHARC Processors.

Published on: 01/01/2008
The recently announced Analog Devices SHARC® ADSP-2146x processor incorporates hardware accelerators for implementing three widely used signal processing operations: FIR (finite impulse response), IIR (infinite impulse response), and FFT (fast fourier transform). The accelerators offload the core processor and have the potential to more than double the computational throughput of the processor. This paper introduces the accelerators using their application in next-generation audio systems as an example.


DSP Development Environment for Audio Systems (in German)

Published on: 09/19/2006
Discusses the VisualAudio development environment by Analog Devices


An Efficient Asynchronous Sampling-Rate Conversion Algorithm for Multi-Channel Audio Applications.

Published on: 10/07/2005
We describe an asynchronous sampling-rate conversion (SRC) algorithm that is specifically tailored to multichannel audio applications. The algorithm is capable of converting between arbitrary asynchronous sampling-rates around a fixed operating point, and is designed to operate in multi-threaded systems. The algorithm uses a set of fractional delay filters together with cubic interpolation to achieve accurate and efficient sampling-rate conversion.


Efficient Arbitrary Sampling Rate Conversion With Recursive Calculation of Coefficients.

Published on: 04/02/2002
In this paper, we present a novel algorithm for sampling rate conversion by an arbitrary factor. Theoretically, sampling rate conversion of a discrete-time (DT) sequence can be performed by converting the sequence to a series of continuous-time (CT) impulses. This series of impulses is filtered with a CT lowpass filter, and the output is then sampled at the desired rate. If the CT filter is chosen to have a rational transfer function, then this system can be simulated using a DT algorithm for which both computation and memory requirements are low. The DT implementation is comprised of a parallel structure, where each branch consists of a time-varying filter with one or two taps, followed by a fixed recursive filter operating at the output sampling rate. The coefficients of the time-varying filters are calculated recursively. This eliminates the need to store a large table of coefficients, as is commonly done.


Frequency Warping in the Design and Implementation of Fixed-Point Audio Equalizers

Published on: 03/26/1999
This paper discusses frequency warping, a technique for designing and implementing discrete-time filters using allpass filters. This technique is particularly useful for audio filters because specifications are often given on a logarithmic frequency scale. It is shown that frequency warping allows a class of recursive filters to be designed using standard FIR techniques, and naturally leads to a structure for implementing the filters. The fixed-point behavior of this filter structure is analyzed and is shown to be relatively insensitive to coefficient quantization and round-off noise.