Real-time Audio Processing via Segmented Wavelet Transform
نویسندگان
چکیده
In audio applications it is often necessary to process the signal in “real time”. The method of segmented wavelet transform (SegWT) makes it possible to compute the discrete-time wavelet transform of a signal segment-by-segment, not using the classical “windowing”. This means that the method could be utilized for wavelettype processing of an audio signal in real time, or alternatively in case we just need to process a long signal, but there is insufficient computational memory capacity for it (e.g. in the DSPs). In the paper, the principle of the segmented forward wavelet transform is explained and the algorithm is described in detail.
منابع مشابه
Adaptive Segmentation with Optimal Window Length Scheme using Fractal Dimension and Wavelet Transform
In many signal processing applications, such as EEG analysis, the non-stationary signal is often required to be segmented into small epochs. This is accomplished by drawing the boundaries of signal at time instances where its statistical characteristics, such as amplitude and/or frequency, change. In the proposed method, the original signal is initially decomposed into signals with different fr...
متن کاملOptimized discrete wavelet transform to real-time digital signal processing
In this paper, we propose optimized method of discrete wavelet transform. There is many use of wavelet transform in digital signal processing (compression, wireless sensor networks, etc.). In those fields, it is necessary to have digital signal processing as fast as it possible. The new segmented discrete wavelet transform (SegWT) has been developed to process in real-time. It is possible to pr...
متن کامل1 Real - Time DSP - Based License Plate Character Segmentation Algorithm using 2 D Haar Wavelet Transform
The potential applications of Wavelet Transform (WT) are limitless including image processing, audio compression and communication systems. In image processing, WT is used in applications such as image compression, denoising, speckle removal, feature analysis, edge detection and object detection. The use of WT algorithms in image processing for real-time custom applications may require dedicate...
متن کاملAn Adaptive Segmentation Method Using Fractal Dimension and Wavelet Transform
In analyzing a signal, especially a non-stationary signal, it is often necessary the desired signal to be segmented into small epochs. Segmentation can be performed by splitting the signal at time instances where signal amplitude or frequency change. In this paper, the signal is initially decomposed into signals with different frequency bands using wavelet transform. Then, fractal dimension of ...
متن کاملReal-Time DSP-Based License Plate Character Segmentation Algorithm Using 2D Haar Wavelet Transform
The potential applications of Wavelet Transform (WT) are limitless including image processing, audio compression and communication systems. In image processing, WT is used in applications such as image compression, denoising, speckle removal, feature analysis, edge detection and object detection. The use of WT algorithms in image processing for real-time custom applications may require dedicate...
متن کامل