

Adaptive Digital has two classes of noise reduction algorithms . They are distinguished by a number of characteristics.
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Adaptive Digital has two classes of noise reduction algorithms. They are distinguished by a number of characteristics:
CPU Utilization
Memory Utilization
Algorithmic Delay
Ability to cancel noise in the presence of signal. (SNR Improvement). If the algorithm does not cancel noise in the presence of signal, it only reduces noise when desired signal (speech) is not present as is the case between speech bursts.
Frequency Domain Based vs. Time Domain Based
We refer to the two classes of noise reduction algorithms as the standard version and the low complexity version. The table below compares the characteristics of the two versions.
Algorithm Version |
CPU Utilization |
Memory |
Delay |
SNR Improvement |
Frequency / Time Based |
Standard |
High |
High |
Moderate |
Yes |
Frequency |
Low Complexity |
Low |
Low |
None |
No |
Time |
The user can configure either version’s noise cancellation to be more or less aggressive. Less aggressive settings reduce noise by a moderate amount while more aggressive settings reduce noise by a greater degree.
One might wonder why a system would be configured with a less aggressive setting. There are a few reasons. One reason is that a very aggressive setting can result in loss of desired signal. Another reason is that, in the case of the low complexity version, an aggressive setting will cause an accentuated difference between the noise level during speech and the noise level when speech is not present. The transitions between speech and no speech may become more objectionable with the more aggressive setting.
Standard noise reduction is an excellent choice for applications with high background noise environments such as mobile phones, speakerphones, hands-free phones, and defense communication systems. It is also useful when used in conjunction with voice recognition to increase accuracy.
Low Complexity noise reduction is an excellent choice for wireline telephony and conferencing.
User configurable
Enhances Voice Quality (improves Mean Opinion Score)
Functions are C-callable
Designed for multiple channel operation
ADT Noise Reduction is available on the TMS320™ DSP Family
C54x™DSP, C55x™DSP, & C64x™DSP Generations
Variant |
MIPS (Peak) |
Program Memory |
Data Memory |
Per Channel Data Memory |
Standard |
7.5 |
2272 |
155 |
750 |
Low Complexity |
0.3 |
400 |
42 |
12 |
Last update: 05/01/2004
All Memory usage is given in units of byte.
Variant |
MIPS (Peak) |
Program Memory |
Data Memory |
Per Channel Data Memory |
Standard |
7.5 |
4500 |
310 |
1500 |
Low Complexity |
0.3 |
800 |
84 |
24 |
Last update: 05/01/2004
All Memory usage is given in units of byte.
Variant |
MIPS (Peak) |
Program Memory |
Data Memory |
Per Channel Data Memory |
Standard |
7.4 |
10400 |
1384 |
1500 |
Low Complexity |
0.2 |
2400 |
84 |
24 |
Last update: 05/01/2004
NCAN_ADT_config( . . .) Configures Noise Canceller
NCAN_ADT_init( . . .) Initiates a channel of Noise Cancellation
NCAN_ADT_cancel( . . . ) Executes Noise Cancellation
Standard noise reduction is an excellent choice for applications with high background noise environments such as mobile phones, speakerphones, hands-free phones, and defense communication systems. It is also useful when used in conjunction with voice recognition to increase accuracy.
Low Complexity noise reduction is an excellent choice for wireline telephony and conferencing.
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