Multiple-Input Multiple-Output (MIMO) systems have recently been the subject of intensive consideration in modem wireless communications as they offer the potential of providing high capacity, thus unleashing a wide range of applications in the wireless domain. The main feature of MIMO systems is the use of space-time processing and Space-Time Codes (STCs). Among a variety of STCs, orthogonal Space-Time Block Codes (STBCs) have a much simpler decoding method, compared to other STCs
標(biāo)簽： Orthogonal Space-Time processing Complex
上傳時(shí)間： 2020-05-26
上傳用戶：shancjb
Optical communication technology has been extensively developed over the last 50 years, since the proposed idea by Kao and Hockham [1]. However, only during the last 15 years have the concepts of communication foundation, that is, the modulation and demodulation techniques, been applied. This is pos- sible due to processing signals using real and imaginary components in the baseband in the digital domain. The baseband signals can be recovered from the optical passband region using polarization and phase diversity tech- niques, as well as technology that was developed in the mid-1980s.
標(biāo)簽： Transmission processing Digital Optical
上傳時(shí)間： 2020-05-27
上傳用戶：shancjb
Driven by the desire to boost the quality of service of wireless systems closer to that afforded by wireline systems, space-time processing for multiple-input multiple-output (MIMO) wireless communications research has drawn remarkable interest in recent years. Excit- ing theoretical advances, complemented by rapid transition of research results to industry products and services, have created a vibrant and growing area that is already established by all counts. This offers a good opportunity to reflect on key developments in the area during the past decade and also outline emerging trends.
標(biāo)簽： Space-Time processing
上傳時(shí)間： 2020-06-01
上傳用戶：shancjb
The goal of this textbook is to support the teaching of digital and statistical signal processing in higher education. Particular attention is paid to the presentation of the fun- damental theory; key topics are outlined in a comprehensible way, and all areas of the subject are discussed in a fashion that aims at simplification without sacrificing accuracy.
標(biāo)簽： Statistical processing Digital Signal and
上傳時(shí)間： 2020-06-10
上傳用戶：shancjb
Artificial Intelligence (AI) has undoubtedly been one of the most important buz- zwords over the past years. The goal in AI is to design algorithms that transform com- puters into “intelligent” agents. By intelligence here we do not necessarily mean an extraordinary level of smartness shown by superhuman; it rather often involves very basic problems that humans solve very frequently in their day-to-day life. This can be as simple as recognizing faces in an image, driving a car, playing a board game, or reading (and understanding) an article in a newspaper. The intelligent behaviour ex- hibited by humans when “reading” is one of the main goals for a subfield of AI called Natural Language processing (NLP). Natural language 1 is one of the most complex tools used by humans for a wide range of reasons, for instance to communicate with others, to express thoughts, feelings and ideas, to ask questions, or to give instruc- tions. Therefore, it is crucial for computers to possess the ability to use the same tool in order to effectively interact with humans.
標(biāo)簽： Embeddings processing Language Natural in
上傳時(shí)間： 2020-06-10
上傳用戶：shancjb
This edition of Digital Image processing is a major revision of the book. As in the 1977 and 1987 editions by Gonzalez and Wintz, and the 1992, 2002, and 2008 editions by Gonzalez and Woods, this sixth-generation edition was prepared with students and instructors in mind. The principal objectives of the book continue to be to provide an introduction to basic concepts and methodologies applicable to digital image processing, and to develop a foundation that can be used as the basis for further study and research in this field. To achieve these objectives, we focused again on material that we believe is fundamental and whose scope of application is not limited to the solution of specialized problems. The mathematical complexity of the book remains at a level well within the grasp of college seniors and first-year graduate students who have introductory preparation in mathematical analysis, vectors, matrices, probability, statistics, linear systems, and computer programming. The book website provides tutorials to support readers needing a review of this background material
標(biāo)簽： processing Digital Image
上傳時(shí)間： 2021-02-20
上傳用戶：
當(dāng)今電子系統(tǒng)的設(shè)計(jì)是以大規(guī)模FPGA為物理載體的系統(tǒng)芯片的設(shè)計(jì)，基于FPGA的片上系統(tǒng)可稱為可編程片上系統(tǒng)(SOPC)。SOPC的設(shè)計(jì)是以知識產(chǎn)權(quán)核(IPCore)為基礎(chǔ)，以硬件描述語言為主要設(shè)計(jì)手段，借助以計(jì)算機(jī)為平臺的EDA工具進(jìn)行的。 本文在介紹了FPGA與SOPC相關(guān)技術(shù)的基礎(chǔ)上，給出了SOPC技術(shù)開發(fā)調(diào)制解調(diào)器的方案。在分析設(shè)計(jì)軟件Matlab/DSP(Digital Signal processing)。builder以及Quartus Ⅱ開發(fā)軟件進(jìn)行SOPC(System On a Programmable Chip)設(shè)計(jì)流程后，依據(jù)調(diào)制解調(diào)算法提出了一種基于DSP Builder調(diào)制解調(diào)器的SOPC實(shí)現(xiàn)方案，模塊化的設(shè)計(jì)方法大大縮短了調(diào)制解調(diào)器的開發(fā)周期。 在SOPC技術(shù)開發(fā)調(diào)制解調(diào)器的過程中，用MATLAB/Simulink的圖形方式調(diào)用Altera DSP Builder和其他Simulink庫中的圖形模塊(Block)進(jìn)行系統(tǒng)建模，在Simulink中仿真通過后，利用DSP Builder將Simulink的模型文件(．mdl)轉(zhuǎn)化成通用的硬件描述語言VHDL文件，從而避免了VHDL語言手動編寫系統(tǒng)的煩瑣過程，將精力集中于算法的優(yōu)化上。 基于DSP Builder的開發(fā)功能，調(diào)制解調(diào)器電路中的低通濾波器可直接調(diào)用FIRIP Core，進(jìn)一步提高了開發(fā)效率。 在進(jìn)行編譯、仿真調(diào)試成功后，經(jīng)過QuartusⅡ?qū)⒕幾g生成的編程文件下載到ALTERA公司Cyclone Ⅱ系列的FPGA芯片EP2C5F256C6，完成器件編程，從而給出了一種調(diào)制解調(diào)器的SOPC系統(tǒng)實(shí)現(xiàn)方案。
標(biāo)簽： FPGA 調(diào)制解調(diào)器
上傳時(shí)間： 2013-06-24
上傳用戶：liuchee
數(shù)字圖像處理，MATLAB的實(shí)現(xiàn)，包括圖像的 基本算法實(shí)現(xiàn)。-Digital image processing
標(biāo)簽： MATLAB
上傳時(shí)間： 2013-04-24
上傳用戶：wkchong
用戶對寬帶無線接入業(yè)務(wù)、尤其是對于寬帶無線化以及移動化的需求日益增加,使無線寬帶接入技術(shù)WiMAX(World interoperability for Microwave Access,即全球微波接入互操作性技術(shù))應(yīng)運(yùn)而生、迅猛發(fā)展,成為這兩年業(yè)界關(guān)注的焦點(diǎn)。除了通常的互聯(lián)網(wǎng)接入應(yīng)用外,它還將在提供IPTV和VOIP等寬帶業(yè)務(wù)方面取得成功,它還有可能成為一種先進(jìn)的4G蜂窩電話技術(shù)。WiMAX未來將進(jìn)入蜂窩電話、筆記本電腦和機(jī)頂盒等應(yīng)用中。 本文在介紹WiMAX傳輸標(biāo)準(zhǔn)802.16d基礎(chǔ)上,詳細(xì)闡述了WiMAX接收機(jī)中信道解調(diào)芯片中的自動增益控制(Automatic Gain Control,AGC)部分。首先介紹了自動增益控制系統(tǒng)的基本組成和其主要特性指標(biāo),通過對一個(gè)步進(jìn)式AGC的分析,得到AGC模型的輸出公式。然后針對WiMAX接收機(jī)內(nèi)AGC系統(tǒng)中的模數(shù)轉(zhuǎn)換器以及AGC電路進(jìn)行介紹和理論分析。本文采用SPW(Signal processing WorkSystem)模型對AGC電路基本結(jié)構(gòu)的算法分析,并結(jié)合仿真結(jié)果對AGC電路做了詳盡解說并對參數(shù)進(jìn)行了解釋說明。 最后給出了基于SPW和FPGA(Field Programmable Gate Array)驗(yàn)證的結(jié)果。通過SPW對AGC進(jìn)行了單獨(dú)的性能測試,并結(jié)合整個(gè)系統(tǒng)的性能測試來說明AGC可以和系統(tǒng)的其他模塊協(xié)同工作。在FPGA測試中,可以證明用Verilog實(shí)現(xiàn)后AGC也同樣能較好的工作。 本文實(shí)現(xiàn)的基于導(dǎo)頻的步進(jìn)式的數(shù)字AGC是針對WiMAX系統(tǒng)的自動增益控制電路提出的解決方案。此算法結(jié)合WiMAX系統(tǒng)的傳輸方式,提出的算法具有迅速鎖定信號的特點(diǎn),能夠滿足WiMAX系統(tǒng)的要求。同時(shí),由于各種關(guān)鍵參數(shù)設(shè)計(jì)為寄存器可配的方式,具有很好的靈活性,也就具有了更高的移植性,可以作為一種通用的數(shù)字AGC算法。
上傳時(shí)間： 2013-04-24
上傳用戶：zhanditian
當(dāng)今電子系統(tǒng)的設(shè)計(jì)是以大規(guī)模FPGA為物理載體的系統(tǒng)芯片的設(shè)計(jì)，基于FPGA的片上系統(tǒng)可稱為可編程片上系統(tǒng)(SOPC)。SOPC的設(shè)計(jì)是以知識產(chǎn)權(quán)核(IPCore)為基礎(chǔ)，以硬件描述語言為主要設(shè)計(jì)手段，借助以計(jì)算機(jī)為平臺的EDA工具進(jìn)行的。 本文在介紹了FPGA與SOPC相關(guān)技術(shù)的基礎(chǔ)上，給出了SOPC技術(shù)開發(fā)調(diào)制解調(diào)器的方案。在分析設(shè)計(jì)軟件Matlab/DSP(Digital Signal processing)。builder以及Quartus Ⅱ開發(fā)軟件進(jìn)行SOPC(System On a Programmable Chip)設(shè)計(jì)流程后，依據(jù)調(diào)制解調(diào)算法提出了一種基于DSP Builder調(diào)制解調(diào)器的SOPC實(shí)現(xiàn)方案，模塊化的設(shè)計(jì)方法大大縮短了調(diào)制解調(diào)器的開發(fā)周期。 在SOPC技術(shù)開發(fā)調(diào)制解調(diào)器的過程中，用MATLAB/Simulink的圖形方式調(diào)用Altera DSP Builder和其他Simulink庫中的圖形模塊(Block)進(jìn)行系統(tǒng)建模，在Simulink中仿真通過后，利用DSP Builder將Simulink的模型文件(．mdl)轉(zhuǎn)化成通用的硬件描述語言VHDL文件，從而避免了VHDL語言手動編寫系統(tǒng)的煩瑣過程，將精力集中于算法的優(yōu)化上。 基于DSP Builder的開發(fā)功能，調(diào)制解調(diào)器電路中的低通濾波器可直接調(diào)用FIRIP Core，進(jìn)一步提高了開發(fā)效率。 在進(jìn)行編譯、仿真調(diào)試成功后，經(jīng)過QuartusⅡ?qū)⒕幾g生成的編程文件下載到ALTERA公司Cyclone Ⅱ系列的FPGA芯片EP2C5F256C6，完成器件編程，從而給出了一種調(diào)制解調(diào)器的SOPC系統(tǒng)實(shí)現(xiàn)方案。
標(biāo)簽： FPGA 調(diào)制解調(diào)器
上傳時(shí)間： 2013-05-28
上傳用戶：koulian
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