... automatic systemgeneratorfor FPGA-based SoC platforms In our following case study, we specify the system generation flow forXilinx FPGA platforms only Figure shows the general flow forXilinx platforms ... EXPLORATION FORDIGITALSIGNALPROCESSING SYSTEMS Given an executable signalprocessing network specification written in SysteMoC, we can perform an automatic design space exploration (DSE) For this ... with, for example, CORE GeneratorforXilinx FPGAs For a comparison, we synthesized different 32 bit wide SysteMoC hardware FIFOs as well as FIFOs generated by Xilinx s CORE generatorfor an Xilinx...
... OF FIGURES 6. 17 BER performance of (204,102) LDPC codes for different modulation formats: 4QAM, 16QAM and 64 QAM 158 6. 18 BER performance of (204,102) LDPC codes for different distribution ... PA-LLR, PA-SA-LLR) for 16QAM 159 6. 19 BER performance of (204,102) LDPC codes for different distribution of phase noise (Np = 6, PA-LLR, PA-SA-LLR) for 16QAM ... 160 6. 20 BER performance of (204,102) LDPC codes at Eb /N0 = dB, σ = or · 10−4 , Np = 4, subjected to SNR estimation error, for 16QAM 160 6. 21 BER performance...
... 1 À p2 zÀ1 , 6: 6:5 a1 À p1 p2 6: 6 :6 a2 p1 p2 : 6: 6:7 where and The poles must lie inside the unit circle for stability, that is jp1 j < and jp2 j < From (6. 6.7), we obtain ja2 ... coefficient and signal buffers, respectively The C function exp6a.c used for Experiment 6A is listed in Table 6. 3 This program calls the software signalgenerator signal_ gen2()to create a block of signal ... jp1 p2 j < 1: 6: 6:8 The corresponding condition on a1 can be derived from the Schur±Cohn stability test and is given by ja1 j < a2 : 6: 6:9 Stability conditions (6. 6.8) and (6. 6.9) are illustrated...
... Chapter 3, a digitalsystem is called a causal system if h n 0, for n < 0, a digitalsignal is called a causal signal if x(n) for n < If the sequences x(n) DSP APPLICATIONS 463 and h(n) are ... transform ifft ± inverse fast Fourier transform In addition, the SignalProcessing Toolbox provides many additional signal- processing functions References [1] D M Etter, Introduction to MATLAB for ... PrenticeHall, 19 96 [2] V K Ingle and J G Proakis, DigitalSignalProcessing Using MATLAB V.4, Boston: PWS Publishing, 1997 [3] E W Kamen and B S Heck, Fundamentals of Signals and Systems Using MATLAB,...
... Response 153 Convolution 1 56 Chapter Summary 160 CHAPTER 6. 1 6. 2 6. 3 6. 4 6. 5 6.66. 7 RANDOM SIGNALS Chapter Objectives 103 Introduction 103 Random and Deterministic Signals 103 Random Number Generation ... 5.1 5.2 5.3 5.4 5.5 5 .6 5.7 5.8 5.9 5.10 REPRESENTING SIGNALS AND SYSTEMS 127 TEMPORAL AND SPATIAL SIGNALPROCESSING Chapter Objectives 165 Introduction 165 Correlation 165 Linear Prediction 177 ... WHAT IS SIGNAL PROCESSING? Chapter looks at how signals in the real world are acquired forprocessing by computer Computer arithmetic is introduced since it is fundamental to any signal processing...
... 1/19, 1/7 563 , and 11 166 ,66 6 ,66 6, respectively This is why normally distributed signals, such as illustrated in Fig 2-6c, appear to have an approximate peak-to-peak value In principle, signals of ... Noise 16 32 48 64 96 112 127 96 112 16 32 48 64 80 L 127 Sample number 31 Sample number I I I I I I I I I I I I I I 16 32 48 64 80 96 112 127 Sample number FIGURE 2-10 Converting a uniform distribution ... Chapter 14 Introduction to Digital Filters 261 Filter Basics 261 How Information is Represented in Signals 265 Time Domain Parameters 266 Frequency Domain Parameters 268 High-Pass, Band-Pass...
... period-three behaviour [2, 6] and is therefore an indicator for coding regions The digital filter method is much faster than the DFT method For example, processing gene F56F11.4 in the Celegans chromosome ... 5000 60 00 Relative base location n 7000 8000 Figure 4: The signal yT+G0 (n) for gene F56F11.4 in the C-elegans chromosome III (b) Figure 3: The signals yT+G (n) and yA+C+T+G (n) for gene F56F11.4 ... EURASIP Journal on Applied SignalProcessing 15 1.8 1 .6 1.4 10 yT+Gw (n) yw (p) 1.2 0.8 0 .6 0.4 0.2 0 0.2 0.4 0 .6 0.8 y(p) 1.2 1.4 1 .6 1.8 0 1000 2000 3000 4000 5000 60 00 Relative base location...
... 160 Lab 6: Adaptive Filtering Systems 161 L6.1 System Identification 161 L6.1.1 Least Mean Square (LMS) Algorithm 161 L6.1.2 Waveform Chart 163 L6.1.3 Shift ... amplitude) Processing of signals can be done either in analog or digital domain To perform the processing of an analog signal in digital domain, it is required that a digitalsignal is formed by ... TMS320C6x DSK, Wiley Inter-Science, 2002 [4] T Welch, C Wright and M Morrow, Real-Time DigitalSignalProcessing from MATLAB to C with the TMS320C6x DSK, CRC Press, 20 06 [5] L Tan, DigitalSignal Processing: ...
... amplitude) Processing of signals can be done either in the analog or digital domain To perform the processing of an analog signal in the digital domain, it is required that a digitalsignal is formed ... 124 6. 3 Bibliography 1 26 Lab 6: Adaptive Filtering Systems 127 L6.1 System Identification 127 L6.2 Noise Cancellation 134 vi Contents L6.3 Bibliography ... DigitalSignalProcessing System- Level Design Using LabVIEW DigitalSignalProcessing System- Level Design Using LabVIEW by Nasser Kehtarnavaz...
... D8PSK signals 60 3.8 Bit-symbol mapping of 16QAM constellation 61 3.9 BER performance comparison of MLSD and DA ML PE for 56- Gbit/s 16QAM signals with LLW=500kHz 62 ... 85 4.5 BER performance comparison for 56Gb/s 16QAM signals with LLW=1MHz 86 4 .6 SNR penalty for 16QAM signals using DA ML PE, MLSD and adaptive ... BER performance comparison of MLSD and DA ML PE for 56- Gbit/s 16QAM signals with LLW=1MHz 63 3.11 Block diagram of a long-haul optical transmission system 65 3.12 BER performance...
... noise principal frequency fb is defined as15 : ⎧ ⎨ √ g 1/2 fb = ⎩ √ 1−g , for < g ≤ 1/4 , for 1/4 < g ≤ 3/4 , for 3/4 < g ≤ (2) 10 0.12 0.1 Mixed Gaussian −1 10 Mixed Gaussian H(ρ) H(ρ) 0.08 0. 06 α-SG, ... functions as models for the HVS Since the Gaussian filters are radially symmetric, separable, unimodal, smooth and have a simple closed form Fourier Transform, they are well suited for models of the ... Communications 26, pp 261 1– 261 5, June 1973 R A Ulichney, “The void-and-cluster method for dither array generation,” Proceedings SPIE, Human Vision, Visual Processing, Digital Displays IV 1913,...
... without written permission of the publisher ISBN 0- 966 01 76- 7 -6 ISBN 0- 966 01 76- 4-1 ISBN 0- 966 01 76- 6-8 LCCN 97-80293 hardcover paperback electronic California Technical Publishing P.O Box 502407 San ... 14 Introduction to Digital Filters 261 Filter Basics 261 How Information is Represented in Signals 265 Time Domain Parameters 266 Frequency Domain Parameters 268 High-Pass, Band-Pass ... s-Domain 60 0 Chapter 33 The z-Transform 60 5 The Nature of the z-Domain 60 5 Analysis of Recursive Systems 61 0 Cascade and Parallel Stages 61 6 Spectral Inversion 61 9 Gain...
... 1. 16; if so, what are the advantages of digitalsignalprocessing instead of analog signal processing, even though digitalsignalprocessing requires more circuits compared to analog signal processing? ... lowpass third-order digital filter Analog Input x(t) Analog Signal Processor Analog Output y(t) Figure 1. 16 Example of an analog signalprocessingsystem ANALOG AND DIGITALSIGNALPROCESSING Analog ... Sample and Hold ADC DigitalSignal Processor DAC 23 Analog Analog Low Pass Output Filter y(t) Figure 1.17 Example of a digitalsignalprocessingsystem 1.5 ANALOG AND DIGITALSIGNALPROCESSING The...