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Real-Time Digital Signal Processing - Chapter 9: Practical DSP Applications in Communications

Real-Time Digital Signal Processing - Chapter 9: Practical DSP Applications in Communications

Real-Time Digital Signal Processing - Chapter 9: Practical DSP Applications in Communications

... dn used as input, the IIR filter will Real-Time Digital Signal Processing. Sen M Kuo, Bob H Lee Copyright # 2001 John Wiley & Sons Ltd ISBNs: 0-4 7 0-8 413 7-0 (Hardback); 0-4 7 0-8 453 4-1 (Electronic) ... characteristics of the system are time-invariant, off-line modeling can be used to estimate H(z) during an initial training stage. White noise is an ideal broadband training signal in system identification ... 9 Practical DSP Applications in Communications There are many DSP applications that are used in our daily lives, some of which have been introduced in previous chapters. DSP algorithms,...
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Real-Time Digital Signal Processing - Chapter 3: DSP Fundamentals and Implementation Considerations

Real-Time Digital Signal Processing - Chapter 3: DSP Fundamentals and Implementation Considerations

... Deterministic signals are used Real-Time Digital Signal Processing. Sen M Kuo, Bob H Lee Copyright # 2001 John Wiley & Sons Ltd ISBNs: 0-4 7 0-8 413 7-0 (Hardback); 0-4 7 0-8 453 4-1 (Electronic) for testing ... describing certain phenomena. Random signals are information-bearing signals such as speech. Some deterministic signals will be introduced in this section, while random signals will be discussed in ... has a fixed loca- tion in the register. In floating-point arithmetic, it does not. In general, floating-point processors are more expensive and slower than fixed-point devices. In this book, we...
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Real-Time Digital Signal Processing - Chapter 1: Introduction to Real-Time Digital Signal Processing

Real-Time Digital Signal Processing - Chapter 1: Introduction to Real-Time Digital Signal Processing

... 1 Introduction to Real-Time Digital Signal Processing Signals can be divided into three categories ± continuous-time (analog) signals, discrete-time signals, and digital signals. The signals ... 1.1 Basic Elements of Real-Time DSP Systems There are two types of DSP applications ± non -real-time and real time. Non -real-time signal processing involves manipulating signals that have already ... converter 4 INTRODUCTION TO REAL-TIME DIGITAL SIGNAL PROCESSING The reason for making this distinction is that each process introduces different distor- tions. The sampling process brings in aliasing...
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Real-Time Digital Signal Processing - Chapter 2: Introduction to TMS320C55x Digital Signal Processor

Real-Time Digital Signal Processing - Chapter 2: Introduction to TMS320C55x Digital Signal Processor

... example for real-time DSP implementations, applications, and experiments. Real-Time Digital Signal Processing. Sen M Kuo, Bob H Lee Copyright # 2001 John Wiley & Sons Ltd ISBNs: 0-4 7 0-8 413 7-0 (Hardback); ... displayed in hexadeci- mal, decimal integer, or floating-point formats. The execution of the program can be single-stepped through the code, run-to-cursor, or controlled by applying breakpoints. ... applications are the driving forces for DSP applications. In 1982, Texas Instruments introduced its first general-purpose fixed-point DSP device, the TMS32010, to the consumer market. Since then, the TMS320...
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Real-Time Digital Signal Processing - Chapter 4: Frequency Analysis

Real-Time Digital Signal Processing - Chapter 4: Frequency Analysis

... any given signal involves the transformation of a time-domain signal into its frequency components. The need for describing a signal in the frequency domain exists because signal processing is generally ... the Fourier series defined as Real-Time Digital Signal Processing. Sen M Kuo,Bob H Lee Copyright # 2001 John Wiley & Sons Ltd ISBNs: 0-4 7 0-8 413 7-0 (Hardback); 0-4 7 0-8 453 4-1 (Electronic) xt ... using systems that are described in terms of frequency response. Converting the time-domain signals and systems into the frequency domain is extremely helpful in understanding the character-...
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Real-Time Digital Signal Processing - Chapter 5: Design and Implementation of FIR Filters

Real-Time Digital Signal Processing - Chapter 5: Design and Implementation of FIR Filters

... for digital IIR filters, and will be briefly introduced in Chapter 6. Real-Time Digital Signal Processing. Sen M Kuo, Bob H Lee Copyright # 2001 John Wiley & Sons Ltd ISBNs: 0-4 7 0-8 413 7-0 ... (LTI) finite impulse response (FIR) filters. The time-invariant infinite impulse response (IIR) filters will be discussed in Chapter 6, and the time-varying adaptive filters are introduced in Chapter ... spectral content of input signals in a specified manner. Common filtering objectives include improving signal quality, extracting information from signals, or separating signal components that...
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Real-Time Digital Signal Processing - Chapter 6: Design and Implementation of IIR Filters

Real-Time Digital Signal Processing - Chapter 6: Design and Implementation of IIR Filters

... design of impulse invariant digital filters through the func- tion impinvar in the Signal Processing Toolbox. The s-domain transfer function is first defined along with the sampling frequency. The ... z-plane is not one-to-one, since there is more than one point in the s-plane that corresponds to a single point in the z- plane. This issue will be discussed later when we design a digital filter ... suffers from obtaining a discrete-time system from a continuous-time system by the process of sampling. Recall that sampling introduces aliasing, and that the frequency response corresponding to the...
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Real-Time Digital Signal Processing - Chapter 7: Fast Fourier Transform and Its Applications

Real-Time Digital Signal Processing - Chapter 7: Fast Fourier Transform and Its Applications

... suitable for DSP implementations. Real-Time Digital Signal Processing. Sen M Kuo, Bob H Lee Copyright # 2001John Wiley & Sons Ltd ISBNs: 0-4 7 0-8 413 7-0 (Hardback); 0-4 7 0-8 453 4-1 (Electronic) ... operations. Since this algorithm was derived by separating the time-domain sequence into succes- sively smaller sets, the resulting algorithm is referred to as a decimation -in- time algo- rithm. In the ... decimation -in- frequency algorithm, the frequency samples of the DFT are decomposed into smaller and smaller subsequences in a similar manner. 7.2.1 Decimation -in- Time In the decimation -in- time algorithm,...
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Real-Time Digital Signal Processing - Chapter 8: Adaptive Filtering

Real-Time Digital Signal Processing - Chapter 8: Adaptive Filtering

... techniques for processing and analyzing them. Real-Time Digital Signal Processing. Sen M Kuo, Bob H Lee Copyright # 2001 John Wiley& Sons Ltd ISBNs: 0-4 7 0-8 413 7-0 (Hardback); 0-4 7 0-8 453 4-1 (Electronic) ... Filtering As discussed in previous chapters, filtering refers to the linear process designed to alter the spectral content of an input signal in a specified manner. In Chapters 5 and 6, we introduced ... response used in Section 4.5.2), and manyothers. Signal correlation is often used in radar, sonar, digital communications, and other engineering areas. For example, in CDMA digital commu- nications,...
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Tài liệu Real-Time Digital Signal Processing - Appendix B: Introduction of MATLAB for DSP Applications docx

Tài liệu Real-Time Digital Signal Processing - Appendix B: Introduction of MATLAB for DSP Applications docx

... represented in MATLAB by two row vectors n and xn as follows: Real-Time Digital Signal Processing. Sen M Kuo, Bob H LeeCopyright # 2001 John Wiley & Sons LtdISBNs: 0-4 7 0-8 413 7-0 (Hardback); 0-4 7 0-8 453 4-1 ... ± inverse fast Fourier transform In addition, the Signal Processing Toolbox provides many additional signal- processing functions.References[1] D. M. Etter, Introduction to MATLAB for Engineers ... files: Mat-files, ASCII files,and binary files. The Mat-file and binary file contain data stored in a memory-efficientbinary format, whereas an ASCII file contains information stored in ASCII...
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