Skip to main content

and
  1. No Access

    Article

    Empirical mode decomposition based statistical features for discrimination of speech and low frequency music signal

    This work aims to investigate the significance of different Empirical Mode Decomposition (EMD) based statistical features for discrimination of speech and low frequency music signal (guitar signals) which most...

    Arvind Kumar, Mahesh Chandra in Multimedia Tools and Applications (2023)

  2. No Access

    Article

    A Novel Method for CNN Training Using Existing Color Datasets for Classifying Hand Postures in Bayer Images

    Deep learning has revolutionized the computer vision by achieving human level performance on classification and detection of the objects in the images. These algorithms are often trained using supervised learn...

    Mahesh Chandra, Brejesh Lall in SN Computer Science (2021)

  3. No Access

    Article

    Performance evaluation of psycho-acoustically motivated front-end compensator for TIMIT phone recognition

    Wavelet-based front-end processing technique has gained popularity for its noise removing capability. In this paper, a robust automatic speech recognition system is proposed by utilizing the advantages of psyc...

    Anirban Bhowmick, Astik Biswas, Mahesh Chandra in Pattern Analysis and Applications (2020)

  4. No Access

    Chapter and Conference Paper

    An Improved Method for Contrast Enhancement of Real World Hyperspectral Images

    This paper proposed an improved method for contrast enhancement of real world hyperspectral images. The proposed method consists of two stages: In first stage the poor quality of image is processed by adaptive hi...

    Shyam Lal, Rahul Kumar, Mahesh Chandra in Quality, Reliability, Security and Robustn… (2013)

  5. No Access

    Chapter and Conference Paper

    Reduced Complexity Pseudo-fractional Adaptive Algorithm with Variable Tap-Length Selection

    The structural complexity and overall performance of the adaptive filter depend on its structure. The number of taps is one of the most important structural parameters of the liner adaptive filter. In practice...

    Asutosh Kar, Mahesh Chandra in Quality, Reliability, Security and Robustn… (2013)