digital signal processor implementation
TEXT DEPENDENT SPEAKER RECOGNITION ON DIGITAL SIGNAL PROCESSOR: IMPLEMENTATION AND OPTIMIZATION
... Implementation was done in C language using the Texas instruments Code Composer Studio v 3.1 (CCS) on a cross compiler for TMS320C67xx.CCS provides an IDE to incorporate the software tools. CCS includes tools for ...
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Image processing and DSP technology applied to remote activity monitoring : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Technology at Massey University
... effective digital signal processor ...and implementation cost at high compression ratios in the range of 16:1 to ...its implementation on a DSP ...smart digital camera that has ...
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Survey on Various Types of Noise and Methods for Noise Removal
... a digital signal processor wherein implemented adaptive algorithms are used to control in real time their radiation ...The implementation of these algorithms remains a major challenge ...
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Implementation of Pipelined 64 Set of Instruction Set High Performance Digital Signal Processor R Rajanikanth Reddy & Dr D Nageshwar Rao
... The arithmetic logic unit (ALU) is an essential part of a computer processor. The most time consuming op- erations in ALU operation are addition and subtraction [4]. With a ripple adder design, the adder ...
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Monitor the emergency situations using Tele health Radar System for Remote In-Door Fall Detection
... The implementation of the falt detection data processing technique, based on the least square sup-port vector machines, through a digital signal processor and the management of the ...
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Digital beamforming implementation of switch-beam smart antenna system by using integrated digital signal processor and field-programmable gate array
... after digital beamforming and sidelobe cancellation to transmit them to the expansion ...and implementation of baseband channel separation and synchronization by using FPGA ...
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The Design of a Custom 32-Bit SIMD Enhanced Digital Signal Processor
... DSPs are broadly classified into fixed and floating-point architectures. Fixed-point DSPs are designed to handle positive or negative integer data, while floating-point DSPs are designed to handle rational number data. ...
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A digital signal processor and programming system for parallel signal processing
... Some of the possible tradeoffs between implementation cost and communication delays have been illustrated with the previously described systems. Because different signal process- ing alg[r] ...
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Bit Manipulation Accelerator for Communication Systems Digital Signal Processor
... However, conventional ASIC chips face several limita- tions such as lack of flexibility for various communica- tion standards, high development costs, and slow time-to- market. Thus, there have been strong demands to ...
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Hardware Implementation of Speech Recognition Using MFCC and Euclidean Distance
... suggests Digital Signal processor (DSP) based speech recognition system with improved performance in terms of recognition accuracies and computational ...by Digital Signal ...
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FPGA Based Implementation of Baseline JPEG Decoder
... Real-time implementation of JPEG encoder or decoder requires efficient and fast hardware ...specific implementation is required to achieve real-time ...and Digital signal processor ...
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MODELING OF BROADBAND LIGHT SOURCE FOR OPTICAL NETWORK APPLICATIONS USING FIBER NON LINEAR EFFECT
... (teleconferencing), digital libraries, and image database, remote ...images. Digital Signal Processing (DSP) improve the quality of images taken under extremely unfavourable conditions in several ...
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Performance analysis of general purpose and digital signal processor kernels for heterogeneous systems-on-chip
... In the following the effects which arise from utilizing the MMX instruction set extensions applied on a 2D-FIR filter with variable coefficients are shown (see Figure 5 and 6). Due to the variable coefficients real ...
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Implementation of Evolutionary Computing Techniques for Cancer Diagnosis Using Digital Signal Processor
... Dr. Rajendra D. Kanphade was born in 1960 inAmravati, INDIA. He has received B.Sc degree in Mathematics in 1982 from Nagpur University and Engineering degree in Electronics in 1987 from S.G.B., Amravati University, ...
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VLSI Implementation of Neural Signal Processor for Multi- Channel Spike Analysis
... Neural signal processor(NSP) used for monitoring or manipulating brain activity typically require on-chip real-time processing of multichannel neural data ...EEG signal is given as the input ...
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Implementation of Computational Intelligent Techniques for Diagnosis of Cancer Using Digital Signal Processor
... In this paper, we have presented a system for detection and classification of micro calcification in digital mammograms & Leukemic cell. Fuzzy logic is used for segmentation of image using TMS320C6713 DSP. The ...
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Title: 32-Bit RISC and DSP System Design in an FPGA
... ABSTRACT: Reduced Instruction Set Computer (RISC) cores use fewer instructions with simple constructs, and therefore they can be executed much faster within the CPU without having to use memory as often. When combined ...
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Power estimation on functional level for programmable processors
... One possible straight forward power estimation approach on DSPs is the so-called Physical-Level Power Analysis methodology. This approach is based on the analysis of the switching activity of all transistors of the DSP ...
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RAAR Processor: The Digital Image Processor
... RAAR processor proposed was designed for FPGA implementation capable of performing low end image processing ...proposed digital image processor were also implemented using Matlab and a ...
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Multi-channel active noise cancellation using the DSP56001 (digital signal processor)
... Using MT-Test-A and MT-Test-B signals, tests were performed for an empty office, and then repeated without changing the combined transfer function models Cz when 10 people all stood with[r] ...
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