Wavelet transform, due to its time frequency characteristics, has been a popular multiresolution analysis tool. Its discrete version, i.e. DWT has been widely used in various applications till date. The hugely applied version of DWT is convolution based. But for hardware implementation this convolution based system has had problems with floating point numbers. Thus the lifting based DWT method,...

Images with high resolution give better results for image processing applications. Image resolution enhancement is the process of manipulating an image so that resultant image is more suitable for specific application such as medical, agricultural, satellite image processing. This paper is based on image resolution enhancement by combination of SWT & DWT .In DWT main loss is on high frequency c...

Non-stationary signal processing applications use standard non-redundant DWT (Discrete Wavelet Transform) which is very powerful tool. But it suffers from shift sensitivity, absence of phase information, and poor directionality. To remove out these limitations, many researchers developed extensions to the standard DWT such as WP (Wavelet Packet Transform), and SWT (Stationary Wavelet Transform)...

Abstract Improving the performance of machine learning (ML) algorithms is essential for accurately estimating water quality parameters (WQPs). For first time, a novel hybrid framework, namely adaptive neural fuzzy inference system–discrete wavelet transform–gradient-based optimization (ANFIS–DWT–GBO), estimation electrical conductivity (EC) and total dissolved solids (TDS), used. Before WQPs, A...

This paper describes an efficient implementation for a multi-level convolution based 1-D DWT hardware architecture for use in FPGAs. The proposed architecture combines some hardware optimization techniques to develop a novel DWT architecture that has high performance and is suitable for portable and high speed devices. The first step towards the hardware implementation of the DWT algorithm was ...

OBJECTIVES The aim of this prospective study was to compare the diagnostic accuracy of detrusor wall thickness (DWT), free uroflowmetry, postvoid residual urine, and prostate volume (index tests) with pressure-flow studies (reference standard) to detect bladder outlet obstruction (BOO) in men. METHODS During a 2-yr period, men older than 40 yr with lower urinary tract symptoms and/or prostati...

Ultra low power signal processing is an essential part of all sensor nodes, and particularly so in emerging wearable sensors for biomedical applications. Analog signal processing has an important role in these low power, low voltage, low frequency applications, and there is a key drive to decrease the power consumption of existing analog domain signal processing and to map more signal processin...

This paper outlines a package synchronization scheme for blind speech watermarking in the discrete wavelet transform (DWT) domain. Following two-level DWT decomposition, watermark bits and synchronization codes are embedded within selected frames in the second-level approximation and detail subbands, respectively. The embedded synchronization code is used for frame alignment and as a location i...

Image compression is very important for efficient transmission and storage of images .Images contain large amounts of information that requires much storage space, large transmission bandwidths and long transmission times. Therefore it is advantageous to compress the image by storing only the essential information needed to reconstruct the image. Image compression is a widely addressed research...

Speaker segmentation is the task of finding speaker turns in an audio stream. We propose a metric-based algorithm based on Discrete Wavelet Transform (DWT) features. Principal component analysis (PCA) or linear discriminant analysis (LDA) [1] are further used to reduce the dimensionality of the feature space and remove redundant information. In the experiments our methods referred to as DWT-PCA...