Structural subband decomposition: a new concept in digital signal processing

نویسنده

  • Sanjit K. Mitra
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A New Algorithm for Voice Activity Detection Based on Wavelet Packets (RESEARCH NOTE)

Speech constitutes much of the communicated information; most other perceived audio signals do not carry nearly as much information. Indeed, much of the non-speech signals maybe classified as ‘noise’ in human communication. The process of separating conversational speech and noise is termed voice activity detection (VAD). This paper describes a new approach to VAD which is based on the Wavelet ...

متن کامل

The Fast DCT and IDCT Algorithm by Subband Decomposition of Signal

Abstract DCT (Discrete Cosine Transforms) and IDCT (Inverse Discrete Cosine Transforms) are widely used for digital signal and image processing. Computational efficiency of DCT and IDCT dominate the performance of processing. How to improve computational efficiency is still an interesting topic for many researchers. In this study, the multiple-level resolution DCT in which the subband decomposi...

متن کامل

Analysis of Image Denoising using Wavelet Coefficient and Adaptive Subband Thresholding Technique

Image denoising is a common procedure in digital image processing aiming at the removal of noise which may corrupt an image during its acquisition or transmission while sustaining its quality. A statistical model is proposed depending on the magnitude of wavelet coefficients and noise variance for each coefficient is estimated based on the subband it belongs to using Maximum Likelihood (ML) est...

متن کامل

A robust blind image watermarking based on Double Haar Wavelet Transform (DHWT)

This study proposes a blind watermarking algorithm based on Double Haar Wavelet Transform (DHWT) for copyright protection of digital images. Watermark embedding is performed in wavelet transform domain. DHWT is applied to the original cover image and binary watermark. Singular value decomposition (SVD) is applied on selected subband of cover image and binary watermark. Eigen values of selected ...

متن کامل

Second-order statistics based blind source separation using a bank of subband filters

This paper presents a novel approach to blind source separation of narrowband signals in additive either white (i.e., time-uncorrelated) noise or colored (i.e., time-correlated) noise of which the frequencies of its spectral peaks are either known or can be estimated. The main idea behind this approach is that a signal vector can be decomposed into a set of subband signal vectors in order to se...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1997