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
標簽： Orthogonal Space-Time processing Complex
上傳時間： 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.
標簽： Transmission processing Digital Optical
上傳時間： 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.
標簽： Space-Time processing
上傳時間： 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.
標簽： Statistical processing Digital Signal and
上傳時間： 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.
標簽： Embeddings processing Language Natural in
上傳時間： 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
標簽： processing Digital Image
上傳時間： 2021-02-20
上傳用戶：
當今電子系統的設計是以大規模FPGA為物理載體的系統芯片的設計，基于FPGA的片上系統可稱為可編程片上系統(SOPC)。SOPC的設計是以知識產權核(IPCore)為基礎，以硬件描述語言為主要設計手段，借助以計算機為平臺的EDA工具進行的。 本文在介紹了FPGA與SOPC相關技術的基礎上，給出了SOPC技術開發調制解調器的方案。在分析設計軟件Matlab/DSP(Digital Signal processing)。builder以及Quartus Ⅱ開發軟件進行SOPC(System On a Programmable Chip)設計流程后，依據調制解調算法提出了一種基于DSP Builder調制解調器的SOPC實現方案，模塊化的設計方法大大縮短了調制解調器的開發周期。 在SOPC技術開發調制解調器的過程中，用MATLAB/Simulink的圖形方式調用Altera DSP Builder和其他Simulink庫中的圖形模塊(Block)進行系統建模，在Simulink中仿真通過后，利用DSP Builder將Simulink的模型文件(．mdl)轉化成通用的硬件描述語言VHDL文件，從而避免了VHDL語言手動編寫系統的煩瑣過程，將精力集中于算法的優化上。 基于DSP Builder的開發功能，調制解調器電路中的低通濾波器可直接調用FIRIP Core，進一步提高了開發效率。 在進行編譯、仿真調試成功后，經過QuartusⅡ將編譯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，從而給出了一種調制解調器的SOPC系統實現方案。
上傳時間： 2013-06-24
上傳用戶：liuchee
數字圖像處理，MATLAB的實現，包括圖像的 基本算法實現。-Digital image processing
標簽： MATLAB
上傳時間： 2013-04-24
上傳用戶：wkchong
用戶對寬帶無線接入業務、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WiMAX(World interoperability for Microwave Access,即全球微波接入互操作性技術)應運而生、迅猛發展,成為這兩年業界關注的焦點。除了通常的互聯網接入應用外,它還將在提供IPTV和VOIP等寬帶業務方面取得成功,它還有可能成為一種先進的4G蜂窩電話技術。WiMAX未來將進入蜂窩電話、筆記本電腦和機頂盒等應用中。 本文在介紹WiMAX傳輸標準802.16d基礎上,詳細闡述了WiMAX接收機中信道解調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的基本組成和其主要特性指標,通過對一個步進式AGC的分析,得到AGC模型的輸出公式。然后針對WiMAX接收機內AGC系統中的模數轉換器以及AGC電路進行介紹和理論分析。本文采用SPW(Signal processing WorkSystem)模型對AGC電路基本結構的算法分析,并結合仿真結果對AGC電路做了詳盡解說并對參數進行了解釋說明。 最后給出了基于SPW和FPGA(Field Programmable Gate Array)驗證的結果。通過SPW對AGC進行了單獨的性能測試,并結合整個系統的性能測試來說明AGC可以和系統的其他模塊協同工作。在FPGA測試中,可以證明用Verilog實現后AGC也同樣能較好的工作。 本文實現的基于導頻的步進式的數字AGC是針對WiMAX系統的自動增益控制電路提出的解決方案。此算法結合WiMAX系統的傳輸方式,提出的算法具有迅速鎖定信號的特點,能夠滿足WiMAX系統的要求。同時,由于各種關鍵參數設計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字AGC算法。
上傳時間： 2013-04-24
上傳用戶：zhanditian
當今電子系統的設計是以大規模FPGA為物理載體的系統芯片的設計，基于FPGA的片上系統可稱為可編程片上系統(SOPC)。SOPC的設計是以知識產權核(IPCore)為基礎，以硬件描述語言為主要設計手段，借助以計算機為平臺的EDA工具進行的。 本文在介紹了FPGA與SOPC相關技術的基礎上，給出了SOPC技術開發調制解調器的方案。在分析設計軟件Matlab/DSP(Digital Signal processing)。builder以及Quartus Ⅱ開發軟件進行SOPC(System On a Programmable Chip)設計流程后，依據調制解調算法提出了一種基于DSP Builder調制解調器的SOPC實現方案，模塊化的設計方法大大縮短了調制解調器的開發周期。 在SOPC技術開發調制解調器的過程中，用MATLAB/Simulink的圖形方式調用Altera DSP Builder和其他Simulink庫中的圖形模塊(Block)進行系統建模，在Simulink中仿真通過后，利用DSP Builder將Simulink的模型文件(．mdl)轉化成通用的硬件描述語言VHDL文件，從而避免了VHDL語言手動編寫系統的煩瑣過程，將精力集中于算法的優化上。 基于DSP Builder的開發功能，調制解調器電路中的低通濾波器可直接調用FIRIP Core，進一步提高了開發效率。 在進行編譯、仿真調試成功后，經過QuartusⅡ將編譯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，從而給出了一種調制解調器的SOPC系統實現方案。
上傳時間： 2013-05-28
上傳用戶：koulian
