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Mohammed Javed Absar

Researcher at STMicroelectronics

Publications -  9
Citations -  86

Mohammed Javed Absar is an academic researcher from STMicroelectronics. The author has contributed to research in topics: Encoder & Audio signal. The author has an hindex of 5, co-authored 9 publications receiving 86 citations.

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Patent

Fast frame optimization in an audio encoder

TL;DR: In this paper, the space required by the various data types depends on certain encoding parameters, which are calculated for a particular frame before data is encoded, thus ensuring that the encoded data will fit into the frame before the computationally expensive encoding process is carried out.
Patent

A fast frequency transformation techique for transform audio coders

TL;DR: In this article, a method for coding digital audio data in which coded Fast Modified Discrete Cosine Transform (FMDCT) coefficients are computed utilising a Fast Fourier Transform (FFT) method is described.
Patent

Method and system for parametric characterization of transient audio signals

TL;DR: In this article, a method of parametrically encoding a transient audio signal, including the steps of determining a set V of the N largest frequency components of the signal, where V is a predetermined number, is presented.
PatentDOI

Multi-precision technique for digital audio encoder

TL;DR: In this paper, a multi-precision technique for each processing block is presented whereby the quality of the encoder on a 16-bit processor matches the single precision 24-bit implementation very closely without excessive additional computational complexity.
Patent

A neural network based method for exponent coding in a transform coder for high quality audio

TL;DR: In this paper, different coding strategies having different differential coding limits are assigned to different set of transform exponents according to the frequency domain characteristics of the audio signal, and a neural network processing system is utilized to perform an efficient mapping of each exponent set to an appropriate coding strategy.