... 10.1007/978-90 -48 1-3 747 -3 Springer Dordrecht Heidelberg London New York Library of Congress Control Number: 2009 944 069 c Springer Science+Business Media B.V 2010 No part of this work may be reproduced, stored ... of scalars are called matrix Size of the matrix is represented as R C, where R is the number of rows and C is the number of columns of the matrix Scalar elements in the array can be either complex ... vectors Ä Ä 1 corresponding to the standard basis and respectively The transformation 0 matrix corresponding to the above transformation is obtained by representing the transformed vectors column...
... population started with 500 random generated individuals Estimation Synthesis rel error Estimation Synthesis rel error Estimation Synthesis rel error Estimation Synthesis rel error Estimation Synthesis ... classes for actors and network graphs as well as operators for declaring firing FSMs for these actors In SysteMoC, each actor is represented as an instance of an actor class, which is derived from ... is, interprocess communication for multiprocessor systems During design space exploration, Koski uses simulation forperformanceevaluation Also, Koski has many similarities with SystemCoDesigner,...
... Pilot Subcarriers PSD Power Spectral Density RS Reed-Solomon Rx Receiver Rx Receiver S/ P Serial-to-Parallel SMF Single-Mode Fiber SNR Singal-to-noise Ratio SPA Sum-product Algorithm SPM Self-phase ... similar to OFDM systems Thus, OFDM offers easier digital signal processing compared to single carrier for most cases in high speed coherent optical long-haul transmission OFDM and single carrier ... i-th OFDM symbol and k-th subcarrier F is the discrete Fourier transform while F−1 is the inverse discrete Fourier transform The fast Fourier transform algorithm reduces the complexity from O(N...
... but it results in both passband and stopband ripples The design of these filters strives to achieve the ideal magnitude response with trade-offs in phase response Bessel filters are a class of all-pole ... spectral transformation into highpass, bandpass, or bandstop filters Filter design packages such as MATLAB often incorporate and perform the frequency transformations directly Butterworth highpass filter 's ... Figure 6. 19 Frequency response of the designed bandpass filter 6.6 Implementation Considerations As discussed in Section 6 .4, the common IIR filter structures are direct, parallel, and cascade forms...
... pairs of corresponding elements The result is a matrix of ones and zeros, with one representing `true' and zero representing `false.' In addition, the operators & (AND) , | (OR), ~ (NOT), and xor ... MATLAB statements are frequently of the form variable expression 45 8 APPENDIX B: INTRODUCTION OF MATLAB FOR DSP APPLICATIONS or simply expression Since MATLAB supports long variable names (up ... conjugate round ± round towards the nearest integer REFERENCES 46 7 fix ± round towards zero floor ± round towards ÀI ceil ± round towards I sign ± signum function rem ± remainder or modulus exp...
... complicated DSP software for new readers, even for the original programmers after time has passed The preprocessor is the first pass of the C compiler It reads in C source files as input and produces output ... 47 0 APPENDIX C: INTRODUCTION OF C PROGRAMMING FOR DSP APPLICATIONS C program (Source) Preprocessor Compiler Assembly code Assembler Object code Linker (loader) Libraries Execution ... operand) are often used for updating counters and address pointers C also allows operators to be combined with the assignment operator `' so that almost any statement of the form variable variable...
... and Stability 1 46 Transfer Functions and Frequency Response 152 Vector Interpretation of Frequency Response 153 Convolution 1 56 Chapter Summary 160 CHAPTER 6. 1 6. 2 6. 3 6 .4 6. 5 6.66. 7 RANDOM SIGNALS ... instead of the fscanf() as before with appropriate formatting conversion specifiers like %s for string, %d for numeric and so forth, we are restricted to intrinsic machine data types such as ‘uchar’ ... algebra and calculus is necessary for some sections, as is an understanding of complex numbers Because we often have to explain the use of blocks of samples and how they are stored and processed,...
... Structure 373 Cameras and Eyes 3 76 Television Video Signals 3 84 Other Image Acquisition and Display 3 86 Brightness and Contrast Adjustments 387 Grayscale Transforms 390 Warping 3 94 Chapter 24 ... 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 Changes 62 Chebyshev-Butterworth Filter Design 62 3 The Best and ... comparison, passive sonar simply listens to underwater sounds, which includes: natural turbulence, marine life, and mechanical sounds from submarines and surface vessels Since passive sonar emits...
... the example presented, noise suppression is improved by almost three orders of magnitude Section presents the conclusions of this research PREVIOUS DIGITAL SIGNAL PROCESSING METHODS FOR IDENTIFYING ... CODING REGIONS Strands of DNA consist of four nucleotides (or bases), which are designated by the characters A, T, C, and G [1] A character string composed of these four bases can be mapped to four ... either C or G In this case, the signal becomes uT+G (n) = tuT (n) + guG (n) (5) Strand symmetry may not hold for shorter DNA sequences (on the order of 100 bases) and therefore strand symmetry should...
... examples of indicators As a VI runs, its FP provides a display or user interface of controls (inputs) and indicators (outputs) Chapter A BD contains terminal icons, nodes, wires, and structures Terminal ... Fourier transform (STFT), and discrete wavelet transform (DWT) Chapter discusses the implementation of a LabVIEW-designed system on the TMS320C6000 DSP processor First, an overview of the TMS320C6000 ... Frequency Domain Processing 175 7.1 Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT) 175 7.2 Short-Time Fourier Transform (STFT) 1 76 7.3 Discrete Wavelet Transform...
... domain processing followed by Lab covering the three widely used transforms in signal processing: fast Fourier transform (FFT), short time Fourier transform (STFT), and discrete wavelet transform ... necessary tools and know-how for designing signal processing systems within a one-semester structured course This book can also be used as a self-study guide to design signal processing systems ... actual DSP processor The DSP processor chosen is TMS320C6000 This processor is manufactured by Texas Instruments (TI) for computationally intensive signal processing applications The DSP hardware...
... optical transmission system 65 3.12 BER performance comparison between MLSD and DAML for 50-Gbit /s DQPSK with transmission of 25×100km transmission 66 3.13 BER performanceof MLSD and DAML for 50-Gbit /s ... symbol 105 5.3 BER vs SNR performance comparison of 40 -Gb /s 16QAM signals for PA DAML and PA MLSD 108 5 .4 BER performance comparison of 40 -Gb /s 16QAM signals for ... Forward Error Control FFT Fast-Fourier Transform FIR Finite Impulse Response GVD Group Velocity Dispersion ICI Inter-Carrier Interference IF Intermediate Frequency IIR Infinite Impulse Response...
... transistor-pass logic appears attractive in terms of lowering Ceffective through reducing transistor count, these circuits suffer from threshold voltage drop across single pass transistor, resulting ... Traditional 6- transistor SRAM cell [61 ] Almost all SoC design requires embedded memory blocks, particularly StaticRandom-Access-Memory (SRAM), Figure 27, and accounts for a large portion of area and ... and to achieve matching between transistors, large transistors are required This will result in even larger pixels when compared to [44 ], [47 ] and [ 46 ] if in-pixel analog processing is required...
... error of the eye that causes the effect of blurred vision These instruments are called “wavefront sensors” or “aberrometers” A wavefront sensor measures the shape of the wavefronts of light (surfaces ... parameter β Symmetric stable processes are also referred to as symmetric α-stable or simply SS In HVS modelinig, bivariate SS distributions will be used for the characterization In particular, ... and darker patterns are generated using a similar process Suppose a lighter pattern is to be designed A given number of dots corresponding to the Figure Gray ramps obtained with DBS screens of...
... 60 5 Analysis of Recursive Systems 61 0 Cascade and Parallel Stages 61 6 Spectral Inversion 61 9 Gain Changes 62 1 Chebyshev-Butterworth Filter Design 62 3 The Best and Worst of DSP 63 0 Glossary ... Impulse Responses 123 Mathematical Properties 132 Correlation 1 36 Speed 140 Chapter The Discrete Fourier Transform 141 The Family of Fourier Transforms 141 Notation and Format of the real ... 3 76 Television Video Signals 3 84 Other Image Acquisition and Display 3 86 Brightness and Contrast Adjustments 387 Grayscale Transforms 390 Warping 3 94 ix Chapter 24 Linear Image Processing ...
... response of these structures and to select the best structure In Chapter 6, we describe methods for deriving several structures for realizing FIR filters and IIR filters The structures for FIR ... digital signal processing is restricted to approximately one megahertz, and analog signal processors are necessary for processing signals above that frequency, for example, processing of radar signals ... filters describe the direct, cascade, and polyphase forms and the lattice structure along with their transpose forms The structures for xiv PREFACE IIR filters include direct-form and cascade and...