Is there any way to remove uncorrelated noise from the signal?
I want to know how to remove the noise from the audio signal using adaptive noise cancellation without knowing its noise characteristics.
I use LabVIEW adaptive filter tool kit to remove noise from noisy signal but i use some portion of noise from the signal as a noise reference that portion is clean(remove noise from this portion) and the remaining portion is unchanged(noisy).
Right, adaptive filters like LMS learns from data.
First, make sure why you have to use adaptive algorithms. When an algorithm is adaptive, the algorithm always needs some a prior information.
If you don't have a prior information but some spectral characteristics of noise, try various frequency filters.
If you just know that the noise is independent to the signal, try various blind source separation techniques such as independent component analysis (ICA).
Have you considered using machine learning?
What you could try is to use an unsupervised clustering algorithm with two classes, one for noise and the other for your desired signal. If the desired signal is significantly more than the noise then you can consider performing anomaly detection but you will need training data.
The features you will need to extract will depend on what type of audio you are dealing with. If you are working with speech, then MFCCs might be a good place to start.
Domain knowledge will play a big role in solving your problem so, telling us the type of audio signal you are dealing with could help narrow down the problem.
Dear Ahtisham Arshad you may Adjust Matlab code about audio signal denoising to your application: https://www.mathworks.com/help/simulink/ug/tutorial-integrating-matlab-code-with-a-simulink-model-for-filtering-an-audio-signal.html