Digital signalprocessing (DSP) is a critical area of research within Very Large-Scale Integration (VLSI) due to its vital role in various applications such as telecommunications, multimedia, radar, and medical imagin...
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ISBN:
(数字)9798350361155
ISBN:
(纸本)9798350361162
Digital signalprocessing (DSP) is a critical area of research within Very Large-Scale Integration (VLSI) due to its vital role in various applications such as telecommunications, multimedia, radar, and medical imaging. DSP is essential for achieving real-time performance, low power consumption, and optimized hardware implementations. As VLSI technologies advance to support emerging fields like AI, IoT, and edge computing, DSP remains essential, driving innovations in algorithms and architectures to meet the demands of these rapidly advancing technologies. Here we are using different architectures for reducing usage of power, delay and PDP and also to find efficiency Quality Metrics is provided.
Blind Source Separation (BSS) is termed as the extraction of source signals from mixed data without or with little knowledge about the source signals. It is used in many fields of research such as military, medical an...
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ISBN:
(数字)9781728155951
ISBN:
(纸本)9781728155968
Blind Source Separation (BSS) is termed as the extraction of source signals from mixed data without or with little knowledge about the source signals. It is used in many fields of research such as military, medical and industry. Among the many challenges that must be overcome to apply BSS to a real system, implementation restrictions are the most difficult. Software implementations require a significant amount of overhead to make them applicable to real-time systems and have a lower maximum speed of operation than hardware implementations. When speed is desired, the algorithm should be implemented on specialized hardware such as a Field Programmable Gate Array(FPGA) which allows the user to take advantage of parallel computational abilities. this paper describes the methodology for implementing real-time DSP applications on FPGA and the concept of hardware software cosimulation of the Second Order Blind Identification (SOBI) algorithm using MATLAB Simulink and Xilinx System Generator (XSG). Performances of efficient architectures are implemented on FPGA ZYBO Z7 Zynq-7020.
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