Speech Codec Modules Optimizing Power Consumption in Mobile Devices
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Solution Overview
Problem
Mobile devices face challenges in optimizing power consumption, particularly during voice calls, which affects talk time and battery life due to increased power demands from advanced functionalities and varying usage modes.
Innovation Solution
The system includes a microphone, anti-aliasing filter, speech codec encoder and decoder modules, and a speech receiver, which reduce CPU/DSP/VLIW processor cycles by compressing and decompressing signals efficiently, thereby minimizing power consumption. The speech codec modules are configured to filter signals above the Nyquist frequency and utilize reduced processor cycles for encoding and decoding, leading to less power draw.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If advanced functional capabilities are added to mobile devices, then device functionality is improved, but power consumption increases
Solution Approach 1:
The patent segments the speech processing function into separate codec modules (encoder and decoder) that can operate independently with optimized processor cycles. This allows the main processor to remain idle or perform lower-power tasks while speech encoding/decoding is handled by dedicated modules, thus maintaining advanced functionality while reducing overall power consumption.
Solution Approach 2:
The patent changes the operational parameters of the speech codec modules by reducing the number of processor cycles required for encoding and decoding operations. This parameter optimization allows the system to maintain speech processing functionality while operating at lower power consumption levels, directly addressing the contradiction between functionality and energy use.
2Measurement precision
If processor cycles are increased for speech processing, then speech quality is improved, but power consumption increases
Solution Approach 1:
The patent applies partial action by implementing speech codec modules that perform only the essential encoding and decoding operations necessary for acceptable speech quality, rather than performing excessive processing that would improve quality marginally but consume significantly more power. The modules are optimized to execute a sufficient subset of processing tasks that maintains usability while minimizing energy expenditure.
3Duration of action of moving object
If battery capacity is increased, then talk time is improved, but device weight and size increase
Solution Approach 1:
The patent extracts the speech processing functionality into separate codec modules that operate with reduced processor cycle requirements. This extraction allows the system to achieve extended talk time through efficient power management rather than increasing battery capacity, thereby avoiding the weight penalty associated with larger batteries while still improving duration of action.
4Use of energy by moving object
If speech codec modules are implemented, then power consumption is reduced, but device complexity increases
Solution Approach 1:
The patent merges the speech encoding and decoding functions into integrated codec modules that share common resources and processing pathways. This merging approach reduces overall system complexity compared to having completely separate encoding and decoding subsystems, while still achieving the power consumption benefits of dedicated speech processing modules.
Data Source
AI summary
The present invention provides a system and method for optimizing power consumption in mobile devices. The system comprises a speech codec encoder module and a speech codec decoder module. The number of CPU/DSP/VLIW processor cycles taken to encode and decode the speech signals are significantly reduced to draw lower current by the mobile device. The significant reduction of processor cycles in the speech codec modules enables reduction of power consumption in the talk time. Thus, the invention provides a simple method of optimizing power consumption by reducing number of processor cycles to compress/decompress speech signal of the speech codec modules in mobile devices.