Configurable Co-Processor for MDCT Audio Compression

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Solution Overview

Problem

Conventional audio compression systems face inefficiencies in performing repetitive tasks such as MDCT and inverse MDCT operations, particularly in terms of power consumption and computational efficiency, as they rely on hardware and software loops that are not optimized for low power and high efficiency.

Innovation Solution

A configurable co-processor system that performs MDCT or inverse MDCT operations by pre-modulating data, performing an intermediate transform, and post-modulating the data, with configuration bits determining the signs and magnitudes of matrix coefficients and addressing modes to optimize matrix multiplication and data access, thereby reducing power consumption and processing cycles.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Use of energy by moving object

If conventional hardware and software loops are used to perform MDCT and inverse MDCT operations, then the system can perform the required audio compression and decompression functions, but power consumption increases and computational efficiency decreases

Engineering Contradiction:
Improvepower consumptionVSAvoidcomputational efficiency
Core Design Contradiction:
Use of energy by moving objectVSProductivity

Solution Approach 1:

The patent replaces conventional software-based loop structures with dedicated hardware circuitry specifically designed to perform MDCT and inverse MDCT operations. This hardware implementation includes specialized functional units for pre-modulation, intermediate transform, and post-modulation that operate in parallel rather than sequentially, thereby reducing power consumption while significantly improving computational efficiency for audio compression and decompression tasks

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent divides the MDCT and inverse MDCT operations into distinct modular functional units: pre-modulation units, intermediate transform units, and post-modulation units. Each unit is independently implemented in hardware and can operate concurrently, eliminating the sequential overhead of software loops and improving both power efficiency and computational throughput

Inventive Principle:
Principle #1Segmentation

2Speed

If conventional software loops are used for repetitive tasks, then the system maintains flexibility in handling different operations, but processing speed decreases and power consumption increases

Engineering Contradiction:
Improveprocessing speedVSAvoidpower consumption
Core Design Contradiction:
SpeedVSUse of energy by moving object

Solution Approach 1:

The patent substitutes software loop execution with dedicated hardware circuits that perform repetitive MDCT and inverse MDCT operations. The hardware functional units are designed to execute pre-modulation, intermediate transform, and post-modulation operations in parallel, achieving higher processing speeds while consuming less power compared to sequential software processing

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent implements pipelined hardware architecture where pre-modulation, intermediate transform, and post-modulation units operate continuously and concurrently. Data flows through the pipeline without interruption, eliminating the start-stop nature of software loops and maintaining continuous useful action that improves processing speed while reducing power consumption through efficient resource utilization

Inventive Principle:
Principle #20Continuity of useful action

Data Source

PatentUS8990280B2Configurable system for performing repetitive actions
Publication Date: 2015.03.24 NVIDIA CORP
  • US8990280B2 patent drawing
  • US8990280B2 patent drawing
  • US8990280B2 patent drawing

AI summary

In some embodiments, a data processing system including an operation unit including circuitry configurable to perform any selected one of a number of operations on data (e.g., audio data) and a configuration unit configured to assert configuration information to configure the operation unit to perform the selected operation. When the operation includes matrix multiplication of a data vector and a matrix whose coefficients exhibit symmetry, the configuration information preferably includes bits that determine signs of all but magnitudes of only a subset of the coefficients. When the operation includes successive addition and subtraction operations on operand pairs, the configuration information preferably includes bits that configure the operation unit to operate in an alternating addition/subtraction mode to perform successive addition and subtraction operations on each pair of data values of a sequence of data value pairs.