Many current progressive wavelet-based image coders attempt to achieve the greatest reduction in mean squared error (MSE) with each bit sent. In so doing, they tend to send information on the lowest-frequency wavelet coefficients first. At very low bit rates, images compressed by these coders are therefore dominated by low frequency information and blotchy artifacts. These effects combine to ha...

This paper presents a novel method for the low bit-rate compression of a feature vector stream with particular application to distributed speech recognition. The scheme operates by grouping feature vectors into non-overlapping blocks and applying a transformation to give a more compact matrix representation. Both Karhunen-Loeve and discrete cosine transforms are considered. Following transforma...

Variables in programs are usually confined to a fixed number of bits and results that require more bits are truncated. Due to the use of 32-bit and 64-bit variables, inadvertent overflows are rare. However, a sound static analysis must reason about overflowing calculations and conversions between unsigned and signed integers; the latter remaining a common source of subtle programming errors. Ra...

The paper proposes an algorithm to calculate the switching angles using harmonic elimination PWM (HEPWM) scheme for voltage source inverter. The algorithm is based on curve fittings of a certain polynomials functions. The resulting equations require only the addition and multiplication processes; therefore, it can be implemented efficiently on a microprocessor. An extensive angle error analysis...

This paper presents warped discrete cosine transform (WDCT)-based low bit-rate block coding using image downsampling.While WDCT aims to improve the performance of conventional DCT by frequency warping, the WDCT has only been applicable to high bit-rate coding applications because of the overhead required to define the parameters of the warping filter. Recently, low bit-rate block coding based o...

In this correspondence a novel adaptive VQ based subband coding scheme for very low bit rate coding of video sequences is presented. Overlapped block motion estimation/compensation is employed to exploit interframe redundancy. A 2D wavelet transform (WT) is applied to the resulting displaced frame diierence (DFD) signal. The WT coeecients are encoded using an adaptive subband vector quantizatio...

Although deep learning models are highly effective for various tasks, such as detection and classification, the high computational cost prohibits the deployment in scenarios where either memory or computational resources are limited. In this paper, we focus on model compression and acceleration of deep models. We model a low bit quantized neural network as a constrained optimization problem. Th...