digital signal processing by ramesh babu pdf

... temporal DOF, denoted by N psandN ptrespectively, different from the system’s availables by what is so-called DOF reduction However, the spatial DOF reduction should be avoided by establishing the ... to be Processed 70.3 The Processing Needs and Major Issues 70.4 Temporal DOF Reduction 70.5 Adaptive Filtering with Needed and Sample-Supportable DOF and Embedded CFAR Processing 70.6 Scan-To-Scan ... total number of range cells,K0is approximately equal to the product of the PRI and signal bandwidth The coherent processing interval (CPI) is the product of the PRI and N t; and since a fixed PRI

Ngày tải lên: 13/12/2013, 00:15

... Acoust Speech, Signal Processing, SP-39(2), 522–526, Feb 1991 [34] Proakis, J.G., Digital Communications, McGraw-Hill,... to improve blind signal copy performance, IEEE Signal Processing ... signal separation in presence of delay spread using antenna arrays, IEEE Signal Processing. .. blind equalization of constant modulus signals: a bilinear approach, in Proc VII European Signal ... andspatialsignalprocessingatthebasestation.ThistechnologyisreferredtoasSmartAntennasor, moreaccurately,asSpace-TimeProcessing(STP).STPreferstoprocessingtheantennaoutputsin bothspaceandtimetomaximizesignalquality.

Ngày tải lên: 13/12/2013, 00:15

... computation further by extending this concept to the signal subspace [8] By sphericalizing and deflating both the signal and the noise subspaces, the cost of tracking ther dimensional signal (or noise) ... a Signal Eigenstructure (SE) update because only the dominantr “signal” eigencomponents are tracked This case is equivalent to that described by Schreiber [37] and an SVD version is given by ... additive white noise signal model, Karasalo [21] and Schreiber [37] first suggested that the “noise” eigenvalues be replaced by their average value in order to reduce computation by deflation Using

Ngày tải lên: 13/12/2013, 00:15

... Trang 1Sayed, A.H & Rupp, M “Robustness Issues in Adaptive Filtering”Digital Signal Processing Handbook Ed Vijay K Madisetti and Douglas B Williams Boca Raton: CRC Press LLC, ... lengthM, and de-whose coefficients at timei − 1 are denoted by {w1,i−1 , w2,i−1 , , w M,i−1 } The unknown system and the FIR filter are excited by the same input sequence{u(i)}, where the time origin ... wi−1provided by the adaptive filter is from the true weight vector w that we are trying to identify We refer to this quantity as the weight error at time(i −1), and we denote it by ˜wi−1= w −

Ngày tải lên: 13/12/2013, 00:15

... for the Input Signal Given the desired response signal model in (19.4), we now consider useful and appropriate statisticalmodels for the input signalx(n) Here, we are motivated by two typically ... response signals are either collected from a physical environment or are generated from a mathematical or statisticalmodel of the physical environment These signals are then processed by a software ... such an analysis, the input and desired response signalsx(n) and d(n) are characterized by certain properties that govern the forms of these signals for the application of interest Often, these

Ngày tải lên: 13/12/2013, 00:15

... primarily controlled by the iteration indexl The regularization behavior of the BINLMS given by Eq (31.38) is that the signal dominant modes are inverted first, followed by the weaker noise dominant ... of the observed signal are attenuated 31.2 Discrete-Time Intersymbol Interference Channel Model Intersymbol interference (ISI) is a phenomenon observed by the equalizer caused by frequency distortion ... filter length Any spectral loss in the signal caused by the channel is directly translated into a corresponding decrease in the minimum eigenvalue of the received signal Ifλmin becomes small, but nonzero,

Ngày tải lên: 22/12/2013, 21:17

... “Robust Speech Processing as an Inverse Problem”Digital Signal Processing Handbook Ed Vijay K Madisetti and Douglas B Williams Boca Raton: CRC Press LLC, 1999 Trang 2Robust Speech Processing as ... left hand side by R s, the predictor coefficient vector by a, and the autocorrelation coefficients by rs, we have The solution for the predictor coefficient vector a can be solved by the inverse ... denoted by N2(ω) in Fig.27.2 The signal observed at the output of the system is, therefore, Y (ω) = H(ω) [X(ω) + N1(ω)] + N2(ω) (27.15) The spectrum of the output signal is corrupted by both

Ngày tải lên: 22/12/2013, 21:17

... two signals is formed by the pointwise product of the signal values Scaling Amplitude scaling of a signal x ( n ) by a constant c is accomplished by multiplying every signal value by c: ... [...]...Chapter 1 Signals and Systems 1.1 INTRODUCTION In this chapter we begin our study of digital signal processing by developing the notion of a discrete-time signal and a discrete-time ... is converting an Analog-to -digital conversion will be discussed in Chap 3 1 2 SIGNALS AND SYSTEMS [CHAP 1 analog signal into a discrete-time signal Examples of signals that fall into this

Ngày tải lên: 19/01/2014, 20:20

... CHI MINH CITY UNIVERSITY OF TECHNOLOGYFACULTY OF ELECTRICAL AND ELECTRONIC ENGINEERING DIGITAL SIGNAL PROCESSING LAB No 2: Vietnamese Text Display Lecturer: Prof Dr LE TIEN THUONG Course ... 10lOMoARcPSD|38590726Trang 11C-file Derived Codes:/* * Copyright 2010 by Spectrum Digital Incorporated * All rights reserved Property of Spectrum Digital Incorporated */ /* * OSD9616 OLED Test * */ #include"usbstk5515.h" ... cmd[0] = 0x00; cmd[1] = 0x29; // Vertical and Right Horizontal Scroll cmd[2] = 0x00; // Dummy byte cmd[3] = 0x00; // Define start page address cmd[4] = 0x01; // Set time interval between each

Ngày tải lên: 08/03/2024, 16:38

... 19NotesTrang 20Personal Computers and Digital Signal Processing Digital Signal Processing2 Digital Signal Processing Digital Signal Processing (DSP) is formally defined as a digital operation performed ... to process analog signals using digital techniques they must first be converted into digital signals Digital processing of analog signals proceeds in three stages: • The analog signal is digitized ... 28Personal Computers and Digital Signal Processing Digital Signal ProcessingFigure 2.3 Graphical representation of auto correlation As shown in Figure 2.3, the autocorrelated signal is made up from

Ngày tải lên: 08/03/2014, 19:20

... state-space digital filter sections, IEEE Trans Circuits... for realizing low roundoff noise digital filters, IEEE Trans Acoust., Speech, Signal Processing, ASSP-33, 106–110, Feb 1985 c 1999 by CRC ... and floating- point number representations are considered. c  1999 by CRC Press LLC 3.2 Number Representation In digital signal processing, (B + 1)-bit fixed-point numbers are usually represented ... necessary to restrict the input signal amplitude. This can be accomplished by either placing a scaling multiplier at the filter input or by simply limiting the maximum input signal amplitude. Consider

Ngày tải lên: 17/10/2013, 11:15

... Moura 70 Space-Time Adaptive Processing for Airborne Surveillance Radar Hong Wang PART XIII Nonlinear and Fractal Signal Processing 71 Chaotic Signals and Signal Processing Alan V Oppenheim and ... Center for Signal and Image Processing(CSIP) and teaches courses in signal processing and telecommunications Dr Williams has served as an Associate Editor of the IEEE Transactions on Signal Processing ... Trang 5To our familiesTrang 6Digital Signal Processing (DSP) is concerned with the theoretical and practical aspects of representinginformation bearing signals in digital form and with using computers

Ngày tải lên: 17/10/2013, 12:15

... 1Introduction 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 that we encounter ... we design and implement digitalsystems for processing digital signals using digital hardware However, the analysis of such signals and systems usually uses discrete-time signals and systems for ... the term `discrete-time' and `digital' inter-changeably math-Digital signal processing (DSP) is concerned with the digital representation of signalsand the use of digital hardware to analyze,

Ngày tải lên: 17/10/2013, 14:15

... Trang 1de Haan, G “Video Scanning Format Conversion and Motion Estimation”Digital Signal Processing Handbook Ed Vijay K Madisetti and Douglas B Williams Boca Raton: CRC Press LLC, ... Conversion Applied to Video Signals High-quality scanning format conversion is difficult to achieve, as the conditions of the sampling theorem are generally not met in video signals The solution of ... fundamental, problem occurs at the signal acquisition stage Since scenes do occur with almost unlimited spatial and/or temporal bandwidth, the sampling theo-rem requires that this signal be low-pass filtered

Ngày tải lên: 19/10/2013, 18:15

... coverage of video filtering methods can be found in the book Digital Video Processing by Tekalp [8]. This chapter summarizes key results in digital image and video restoration. 53.2 Modeling Every ... conditional pdf of g given f (related to the pdf of the noise process) and p(f )is the a priori pdf of the ideal image. We usually assume that the observation noise is Gaussian, leading c  1999 by CRC ... Digital Image Restoration, Prentice-Hall, Englewood Cliffs, NJ, 1977 [2] Gonzales, R.C and Woods, R.E., Digital Image Processing, Addison-Wesley, MA, 1992 [3] Katsaggelos, A.K., Ed., Digital

Ngày tải lên: 19/10/2013, 18:15

... basic elements of a digital signal processing system The analog signal is first converted to a discrete time signal by a sample and hold circuit The FIGURE 5.1: Digital signal processing system ... analog-to-digital converter (A/D) circuit where the sampled analog signal is converted to a digitally coded signal The digital signal is then applied to 1999 by CRC Press LLC Trang 3the digital signal ... an analog signal by a digital-to-analog converter (D/A) A digital filtering application may produce an analog signal as its output, whereas a speech recognition system may pass the digital output

Ngày tải lên: 19/10/2013, 18:15

... essence) continuous signals in a digital fashion This means that we do not deal with these signals directly, but only with sampled versions of it: we only retain the values of these signals at a discrete ... Trang 1Kalker, T “On Multidimensional Sampling”Digital Signal Processing Handbook Ed Vijay K Madisetti and Douglas B Williams Boca Raton: CRC Press LLC, ... generated by a matrix M In particular det(M∗) = det(M)−1 For example, the reciprocal lattice of the lattice of Fig.4.1is generated by This lattice is very similar to the original lattice: it differs by

Ngày tải lên: 19/10/2013, 18:15

... Exponential Input eζtThe exponential signal is the most important signal in the study of LTI systems Interestingly, the particular solution for an exponential input signal turns out to be very simple ... the form of the solution is modified slightly By direct substitution we can show that the solution of the equation (D − λ)2y c (t) = 0 is given by y c (t) = (c1+ c2t)e λt In this case the rootλ ... coefficients Many engineering (as well as nonengineering) systems can be modeled by these equations Systems modeled by these equations are known as linear time-invariant (LTI) systems In this chapter

Ngày tải lên: 19/10/2013, 20:15

... Real-Time Digital Signal Processing Sen M Kuo, Bob H Lee Copyright # 2001 John Wiley & Sons Ltd ISBNs: 0-470-84137-0 (Hardback); 0-470-84534-1 (Electronic) Introduction to TMS320C55x Digital Signal ... (4-byte opcode fetch) IU Instruction buffer queue (64 bytes) 48 (1-6 bytes opcode) Instruction decoder PU AU DU Figure 2.2 Simplified block diagram of the C55x instruction buffer unit (one byte), ... areas such as communications, speech processing, image processing, biomedical devices and equipment, power electronics, automotive, industrial electronics, digital instruments, consumer electronics,

Ngày tải lên: 19/10/2013, 23:15

... analog signal x(t) into digital form x(n).The input signal is first sampled to obtain the discrete-time signal x(nT) Each x(nT)value is then encoded using B-bit wordlength to obtain the digital signal ... time by one sampling period, T, asillustrated in Figure 3.4 The box labeled z 1 represents the unit delay, x(n) is the inputsignal, and is the output signal, which is the input signal delayed by ... 3.1.3, a digital system can be completely characterized by itsimpulse response h…n† Consider a digital system illustrated in Figure 3.8, where x…n† isthe input signal and y…n† is the output signal

Ngày tải lên: 19/10/2013, 23:15