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vlsi signal processing research papers



A power/area optimal approach to VLSI signal processing
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Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first

A bit-serial VLSI architectural methodology for signal processing
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Design and analog VLSI implementation of neural network architecture for signal processing
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Abstract Biological systems process the analog signals like image and sound efficiently. To process the information the way biological systems do, we make use of Artificial Neural Networks (ANN). The focus of this paper is the implementation of the Neural Network

Analog VLSI implementation of neural network architecture for signal processing
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Abstract With the advent of new technologies and advancement in medical science we are trying to process the information artificially as our biological system performs inside our body. Artificial intelligence through a biological word is realized based on mathematical

Design and analog VLSI implementation of neural network architecture for signal processing
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Abstract Biological systems process the analog signals like image and sound efficiently. To process the information the way biological systems do, we make use of Artificial Neural Networks (ANN). The focus of this paper is the implementation of the Neural Network

Laboratory experiments unifying concepts in the communications, digital signal processing(DSP) and very large scale integration (VLSI) courses
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Abstract-The hallmark of the Rowan College of Engineering undergraduate program is to provide effective laboratory based instruction that illustrates important scientific concepts. This paper presents the results of an effort by the Department of Electrical and Computer

HIFI: A design method for implementing signal processing algorithms on VLSI processor arrays
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An integrated communications, digital signal processing (DSP) and very large scale integration (VLSI) laboratory
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Abstract-The hallmark of the Rowan College of Engineering undergraduate program is to provide effective laboratory based instruction that illustrates important scientific concepts. This paper presents the results of an effort by the Department of Electrical and Computer

Energy-Efficient VLSI Signal Processing for Multi-Band MIMO Systems
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The advancement of the semiconductor industry has allowed a significant increase in functionality to be integrated on a single chip. This trend allows the integration of complex multidimensional data processing. There are many examples of hardware suited for

Signal Processing In Neural Network Using Vlsi Implementation
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Abstract: Artificial intelligence is realized based on many things like mathematical equations and artificial neurons. In the proposed design, we will mainly focus on the implementation of chip layout design for Feed Forward Neural Network Architecture (NNA) in VLSI for analog

IMPACT OF VLSI ON MODERN SIGNAL PROCESSING'
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ABSTRACT This paper describes the design of a systolic signal processor for recursive Kaiman filtering. The architecture of the processor is based on sapping the Kaiman filter equations onto a linearly connected systolic array. A successful prototype of the systolic

Energy-Efficient VLSI Signal Processing for Wideband Spectrum Sensing in Cognitive Radios
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Wireless technology is rapidly proliferating into all aspects of daily life, and the demand for wireless connectivity is ever increasing. Higher and higher data rates are required for real- time and high-quality data transmission, with a rapid increase in the number of wireless

VLSI Low-Power Digit al Signal Processing
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Abstract This t hesis reports on new high-level low-power design techniques for digit al signal processing for wireless port able sys tems. Through proper choice and op timization of an algont hm or an architecture, significant power dissipation saving is achieved. Up to

VLSI Signal Processing Examination Project Implementing an 8-Channel Filter Bank Using Art Designer, Version 1.0
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The goal of this project is to implement an eight-channel filter bank using Art Designer. Art Designer is a tool that maps a C description onto a custom generated VLIW (very Large Instruction word) DSP like core. The tool creates a standard data-path, but it is possible to

PTEC8028 VLSI SIGNAL PROCESSING LTPC
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59 1999. 4. Ben gold and Nelson Morgan,Speech and audio signal processing, processing and perception of speech and music, Wiley-India Edition, 2006 Edition. PTEC8028 VLSI SIGNAL PROCESSING LTPC 3 0 0 3 OBJECTIVES: To design DSP architectures that are

EE216B: VLSI Signal Processing
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VLSISignalProcessing Prof. Shortcomings of the Fourier Transform (FT) FT gives information about the spectral content of the signal but loses all time information With the recent trend toward portable computing and communications systems, power dissipation has become an important design consideration. This tutorial aims at educating the audience about the recent advances in the following areas: Design of VLSI signal

VL9253 VLSI SIGNAL PROCESSING LT PC
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Retiming definitions and properties, Unfolding an algorithm for unfolding, properties of unfolding, sample period reduction and parallel processing application, Algorithmic strength reduction in filters and transforms parallel FIR filter, 2-parallel fast FIR filter, DCT

VLSI Signal Processing Term Report
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Echo is an undesired signal impedance mismatch in the system. A hybrid circuit with a 10~ 20 dB echo return loss might be enough for voice conversation. But in modern high-speed communication system, the received signals are usually attenuated by more than 40 dB.

ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, March 26-29, 1985 AN OVERSAMPLING A-TO-D CONVERTER STRUCTURE FOR VLSI DIGITAL
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ABSTRACT-Three kinds of encoder configurations, which include noise shaping, predictive and their combination forms, are investigated from LSI implementation points of view. A first order predictive encoder with first order noise shaping is chosen. A novel circuit The Signal Processing Society is an organization, within the framework of the IEEE, of members with principal professional interest in the technology of transmission, recording, reproduction, processing, and measurement of signals by digital electronic, electrical

VLSI Implementation of Digital Signal Processing Algorithms for MIMO Detection and Channel Pre-Processing
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Abstract The efficient high-throughput VLSI implementation of Soft-output MIMO detectors for high-order constellations and large antenna configurations has been a major challenge in the literature. This thesis introduces a novel Soft-output K-Best scheme that improves BER

Digital and Multirate Signal Processing Memory Efficient Modular VLSI Architecture for High throughput and Low-Latency Implementation of Multilevel Lifting 2-D
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REGULAR PAPERS Statistical Signal Processing Distributed Detection Over Adaptive Networks Using Diffusion Adaptation FS Hidden Relationships:

VLSI Architectures for Digital Signal Processing on Energy Constrained Systems-on-Chip
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Abstract The design of ultra-low power integrated circuits for system-on-chip (SoC) architectures requires both robust and reliable low-energy operation. Promising applications for these SoCs include body sensor nodes (BSNs) capable of running on energy

VLSI IMPLEMENTATION OF BACK PROPAGATED NEURAL NETWORK FOR SIGNAL PROCESSING
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Abstract:-Mainly due to the rapid advances in integration technologies, large-scale systems design-in short, due to the advent of VLSI Technology, the number of applications of integrated circuits in high-performance computing, telecommunications, and consumer

ing and computer science; VLSI, computer architecture and digital signal processing) Boston: Kluwer Academic Publishers, 1987, xv+ 261 PP Hardbound,
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Books listed below that are marked with at will be reviewed in a future issue; reviewers are still sought for those marked with an asterisk. Readers who wish to review books for the journal should write, outlining their qualifications, to the book review editor, Graeme Hirst, Department of

VLSI Design and Implementation Fuels the Signal-Processing Revolution
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In this issue we are glad to present die contribution of the Design and Implementation of Signal Processing Systems Technical Conv mirtee (DISPS-TC), which is the fourth Some may think of signal-processing research as

Flexible VLSI Architecture for Energy-Efficient MIMO Signal Processing
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Abstract The fast evolution of today's wireless communication standards is giving new challenges to baseband circuit design. A flexible digital hardware that is compatible with existing and evolving standards is now highly desired. In addition, the hardware should be

Photonic Microwave Signal Processing Based on Opto-VLSI Technology
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The processing of radio frequency (RF) and microwave signals in the optical domain is an attractive approach to overcome the bottlenecks of bandwidth, power loss, and electromagnetic interference (EMI) encountered in conventional electronic signal Abstract. The SWAN (Seamless Wireless ATM Network) system provides end-to-end ATM connectivity to mobile end-points equipped with RF transceivers for wireless access. Users carrying laptops and multimedia terminals can seamlessly access multimedia data over a

A Low-Power VLSI Technique for Digital Signal Processing Portable Electronic Devices
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Abstract: In portable electronic devices that operate on battery power, it is essential to have power saving techniques to increase the operating time as they are energy constrained. This paper presents a novel power saving technique supported by two design models for

Analog VLSI Implementation of Feed Forward Neural Network for Signal Processing
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Abstract: With the emergence of VLSI Technology in electronic industry, the numerous applications of integrated circuits in high-performance computing, consumer electronics, and telecommunications has been rising steadily, and at a very fast pace. Artificial intelligence

VLSI Cellular Neural Network Based Median Filter for Real-Time Video Signal Processing
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An increasing demands for video application in teleconferencing, multimedia services, autonomous navigation, motion analysis, object tracking, surveillance, astronomical, and medical imaging make high rigorous requirements for real-time noise filtering algorithms


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