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A unified design framework for Vector Rotational CORDIC Family based on Angle Quantization process

A unified design framework for Vector Rotational CORDIC Fami...

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IEEE International conference on Acoustics, Speech, and signal processing

作者： Wu, AY Wu, CS Natl Taiwan Univ Dept Elect Engn Taipei 106 Taiwan

ISBN: (纸本)0780370414

Vector rotation is the key operation employed extensively in many digital signal processing applications. In this paper, we introduce a new design concept called Angle Quantization (AQ). It can be used as a design index for vector rotational operation, where the rotational angle is known in advance. Based on the AQ process, we establish a unified design framework for cost-effective low-latency rotational algorithms and architectures. Several existing works, such as conventional CORDIC, AR-CORDIC, MVR-CORDIC, and EEAS-based CORDIC, can be fitted into the design framework, forming a Vector Rotational CORDIC Family. Based on the new design framework, we can realize high-speed / low-complexity rotational VLSI circuits, whereas without degrading the precision performance in fixed-point implementations.

关键词： Digital signal processing

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Proceedings of the 35th Asilomar conference on signals, Systems & Computers

Proceedings of the 35th Asilomar Conference on Signals, Syst...

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35th Asilomar conference on signals, Systems and Computers

This Volume 2 of 2 of the conference proceedings contains 160 papers. Topics discussed include wireless communication and signal processing, algorithms for MIMO links, modulation and detection techniques, signal detection and classification, adaptive communications and arrays, image segmentation and frequency domain processing, multiple user/multiple access techniques, digital signal processing architectures, hyperspectral processing and multisignals or data fusion, computer arithmetic implementations and FPGA designs, radar and sonar processing, equalization and synchronization techniques, higher order statistical signal processing for communications, adaptive signal processing in communication, speech coding and processing, wireless systems, special arithmetic techniques, biomedical imaging and advanced modulation and channel estimation.

关键词： signal processing

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Adaptive array beamforming with fixed-point arithmetic matrix inversion using Givens rotations

Adaptive array beamforming with fixed-point arithmetic matri...

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conference on advanced signal processing algorithms, architectures, and implementations XI

作者： Rabinkin, DV Song, W Vai, MM Nguyen, H MIT Lincoln Lab Lexington MA 02420 USA

ISBN: (纸本)0819441880

Adaptive array systems require the periodic solution of the well-known w = (R) over tilde (-1)v equation in order to compute optimum adaptive array weights. The covariance matrix (R) over tilde is estimated by forming a product of noise sample matrices X : (R) over tilde = (XX)-X-H. The operations-count cost of performing the required matrix inversion in real time can be prohibitively high for a high bandwidth system with a large number of sensors. Specialized hardware may be required to execute the requisite computations in real time. The choice of algorithm to perform these computations must be considered in conjunction with the hardware technology used to implement the computation engine. A systolic architecture implementation of the Givens rotation method for matrix inversion was selected to perform adaptive weight computation. The bit-level systolic approach enables a simple ASIC design and a very low power implementation. The bit-level systolic architecture must be implemented with fixed-point arithmetic to simplify the propagation of data through the computation cells. The Givens rotation approach has a highly parallel implementation and is ideally suited for a systolic implementation. Additionally, the adaptive weights are computed directly from the sample matrix X in the voltage domain, thus reducing the required dynamic range needed in carrying out the computations. An analysis was performed to determine the required fixed-point precision needed to compute the weights for an adaptive array system operating in the presence of interference. Based on the analysis results. it was determined that the precision of a floating-point computation can be well approximated with a 13-bit to 19-bit word length fixed point computation for typical system jammer-to-noise levels. This property has produced an order-of-magnitude reduction in required hardware complexity. A synthesis-based ASIC design process was used to generate preliminary layouts. These layouts were used t

关键词： Very large scale integration Chemical elements Computing systems Sensors Statistical analysis Computer architecture Matrices Radar Electroluminescence signal processing

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Low power implementation of a turbo-decoder on programmable architectures

Low power implementation of a turbo-decoder on programmable ...

引用

Asia and South Pacific Design Automation conference

作者： F. Gilbert A. Worm N. Wehn Institute of Microelectronic Systems Department of Electrical Engineering and Information Technology University of Kaiserslautern Germany

ISBN: (纸本)0780366336

Low power is an extremely important issue for future mobile radio systems. Channel decoders are essential building blocks of base-band signal processing units in mobile terminal architectures. Thus low power implementations of advanced channel decoding techniques are mandatory. In this paper we present a low power implementation of the most sophisticated channel decoding algorithm (turbo-decoding) on programmable architectures. Low power optimization is performed on two abstraction levels: on the system level by the use of an intelligent cancellation technique, and on the implementation level by the use of dynamic voltage scaling. With these techniques we can reduce the worst case energy consumption to 55% using data of state-of-the-art processors. Our approach is also applicable for hardware implementations. To the best of our knowledge, this is the first in-depth study of low power implementations of turbo-decoders based on voltage scheduling for third generation wireless systems.

关键词： Dynamic voltage scaling Turbo codes Iterative decoding Processor scheduling Forward error correction signal processing algorithms Channel coding Error correction Redundancy Bit error rate

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Scale-cumulant domain deconvolution of sensor array signals

Scale-cumulant domain deconvolution of sensor array signals

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conference on advanced signal processing algorithms, architectures, and implementations X

作者： Izzetolu, M Akgül, T Drexel Univ Dept Elect & Comp Engn Philadelphia PA 19104 USA

ISBN: (纸本)0819437611

In this paper we combine two recently developed multi-scale deconvolution algorithms, known as the scale-time domain method and the sum-of-cumulants domain method. We formulate the deconvolution problem in the scale-cumulant domain using the Scale Transform (ST) and show that the procedure is simpler when the unknown source signal is non-minimum phase and robust if Gaussian noise exists.

关键词： Sensors Deconvolution Electronic filtering Interference (communication) Algorithm development Reflectors signal processing Convolution Detection theory Image processing

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Computer arithmetic for the processing of media signals

Computer arithmetic for the processing of media signals

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conference on advanced signal processing algorithms, architectures, and implementations X

作者： Oklobdzija, VG Farooqui, AA Univ Calif Davis Dept Elect & Comp Engn ACSEL Davis CA 95616 USA

ISBN: (纸本)0819437611

Media signal processing requires high computing power and the algorithms exhibit a great deal of parallelism on low precision data. The basic components of multi-media objects are usually simple integers with 8, 12, or 16 bits of precision. In order to support efficient processing of media signals, Instructions Set Architecture (ISA) of the traditional processors requires modifications. In this paper, we present the quantitative analysis and the computational complexity required to perform media processing. Main classes of instructions that are needed for the required level of performance of the Media Processor are identified. Their efficient implementation and effect on the processor data-path is discussed. The main operations required in media processing are Addition (with or without saturation), Multiplication (with or without rounding), Sum of Products, and Average of two numbers.

关键词： ISG SIMD VLSI media processor MPEG media arithmetic IDCT FFT addition multiplication

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Wigner equations of motion for classical systems

Wigner equations of motion for classical systems

引用

conference on advanced signal processing algorithms, architectures, and implementations X

作者： Galeani, L Cohen, L CUNY New York NY 10021 USA

ISBN: (纸本)0819437611

We present a general procedure for obtaining equations of motion for the Wigner distribution of functions that are governed by ordinary and partial differential equations. For the case of fields we show that in general one must consider Wigner distributions of the four variables, position, momentum, time and frequency. We also show that in general one cannot write an equation of motion for position and momentum however it can be done in some cases, the Schrodinger equation being one such case. Our method leads to an equation of motion for the Schrodinger equation with time dependent potentials in contrast to the result obtained by Wigner and Moyal which was for time independent potentials.

关键词： Ordinary differential equations Partial differential equations Fourier transforms Oscillators Differential equations Acoustics Electromagnetism signal processing Switches

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Architecture for real time wood inspection

Architecture for real time wood inspection

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conference on advanced signal processing algorithms, architectures, and implementations X

作者： Malasne, N Paindavoine, M Lab Elect & Informat Image F-21078 Dijon France

This study has been realized to improve industrial machines that allow to analyze planks by detecting their width and too important defects thanks to a computer vision system. These machines are currently piloted by s... 详细信息

ISBN: (纸本)0819437611

关键词： real time processing defects detection FPGA

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How bad are symmetric Pick matrices

How bad are symmetric Pick matrices

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conference on advanced signal processing algorithms, architectures, and implementations X

作者： Fasino, D Olshevsky, V Univ Udine Dipartimento Matemat & Informat I-33100 Udine Italy

ISBN: (纸本)0819437611

Let P be a symmetric positive definite Pick matrix of order n. The following facts will be proven here: 1. P is the Gram matrix of a set of rational functions, with respect to a inner product defined in terms of a "generating function" associated to P;2. Its condition number is lower-bounded by a function growing exponentially in n. 3. P can be effectively preconditioned by the Pick matrix generated by the same nodes and a constant function.

关键词： Matrices Condition numbers algorithms Computing systems Control systems Image information entropy Linear algebra Mathematics Platinum signal processing

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Toward blind removal of unwanted sound from orchestrated music

Toward blind removal of unwanted sound from orchestrated mus...

引用

conference on advanced signal processing algorithms, architectures, and implementations X

作者： Chang, SY Chun, J Univ Suwon Dept Elect Engn Kyungki do South Korea

ISBN: (纸本)0819437611

The problem addressed in this paper is to removing unwanted sounds from music sound. The sound to be removed could be disturbance such as cough. We shall present some preliminary results on this problem using statistical properties of signals. Our approach consists of three steps. We first estimate the fundamental frequencies and partials given noise-corrupted music sound. This gives us the autoregressive (AR) model of the music sound. Then se filter the noise-corrupted sound using the AR parameters. The filtered signal is then subtracted from the original noise-corrupted signal to get the disturbance. Finally the obtained disturbance is used as reference signal to eliminate the disturbance from the noise-corrupted music signal. Above three steps are carried out in a recursive manner using a sliding window or an infinitely growing window with an appropriate forgetting factor.

关键词： Wiener filter music signal processing interference cancellation

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