... Introduction to Signal Processing, Englewood Cliffs, NJ: Prentice-Hall, 1996.[10] J. G. Proakis and D. G. Manolakis, DigitalSignalProcessing ± Principles, Algorithms, and Applications, 3rd ... Prentice-Hall, 1983.[3] V. K. Ingle and J. G. Proakis, DigitalSignalProcessing Using MATLAB V.4, Boston: PWSPublishing, 1997.[4] L. B. Jackson, Digital Filters andSignal Processing, 2nd Ed., Boston: ... Prentice-Hall, 1996.[11] A Bateman and W. Yates, DigitalSignalProcessing Design, New York: Computer Science Press,1989.[12] S. D. Stearns and D. R. Hush, DigitalSignal Analysis, 2nd Ed., Englewood...
... processor. Digital signal processors are used for a wide range of applications, from com-munications and controls to speech and image processing. The general-purpose Digital SignalProcessingandApplications ... appropriate for signal processing. The C6x notation is used to desig-nate a member of Texas Instruments’ (TI) TMS320C6000 family of digital signal processors. The architecture of the C6x digitalsignal ... the gain of generated sine wave.ch01.qxd 10/7/04 3:20 PM Page 18 DigitalSignalProcessing and Applications with the C6713 and C6416 DSKPR.qxd 10/7/04 3:15 PM Page i 4 DSP Development System(a)(b)FIGURE...
... 11Mean and Standard Deviation 13 Signal vs. Underlying Process 17The Histogram, Pmf andPdf 19The Normal Distribution 26 Digital Noise Generation 29Precision and Accuracy 32Chapter 3. ADC and ... 359Companding 362Speech Synthesis and Recognition 364Nonlinear Audio Processing 368Chapter 23. Image Formation and Display 373 Digital Image Structure 373Cameras and Eyes 376Television Video Signals ... Warning and DisclaimerThis book presents the fundamentals of DigitalSignalProcessing using examples from common science and engineering problems. While the author believes that the concepts and...
... sinusoidal signal, which is a continuous-time signal, and a discrete-time signal. We dis-cussed the basic procedure followed to sample and quantize an analog signal ANALOG ANDDIGITALSIGNAL PROCESSING 25different ... discrete-time signals. It describes some applications of digitalsignalprocessingand defines and, suggests several ways of describingdiscrete-time signals. Examples of a few discrete-time signals and ... that it can be considered a bandlimited signal. It is this signal thatis sampled and converted to a discrete-time signaland coded to a digital signal by the analog-to -digital converter (ADC) that...
... Theory and Application of DigitalSignal Processing, Prentice-Hall, 1975.9. E. C. Ifeachor and B. W. Jervis, DigitalSignal Processing, Prentice-Hall, 2002.10. V. K. Ingle and J. G. Proakis, Digital ... Discrete Systems andDigitalSignal Processing, Addison-Wesley, 1989.7. S. S. Soliman and M. D. Srinath, Continuous and Discrete Signals and Systems,Prentice-Hall, 1990.8. L. R. Rabiner and B. Gold, ... one megahertz, and analog signal processors are necessary for processing signals above thatfrequency, for example, processing of radar signals. In such applications, analog signal processing is...
... prescribed operations on digital signals. In some applications, we view a DSP system as an operation performed on an input signal, x(n),in order to produce an output signal, y(n), and express the general ... throughout the book willbe defined in this chapter.3.1 Digital Signals and SystemsIn this section, we will define some widely used digital signals and simple DSP systems.The purpose of this section ... background for understandingthe materials presented in subsequent sections and later chapters.3.1.1 Elementary Digital SignalsThere are several ways to describe signals. For example, signals encountered...
... non-causal and hence not physically realizable. Instead wemust compromise and accept a more gradual cutoff between passband and stopband, aswell as specify a transition band between the passband and ... passband, themagnitude response has a peak deviation dp and in the stopband, it has a maximumdeviation ds. The frequencies !p and !sare the passband edge (cut-off) frequency and the stopband ... passband and stopband ripples, the area under208DESIGN AND IMPLEMENTATION OF FIR FILTERS 5.2.2 Some Simple FIR FiltersA multiband filter has more than one passband and stopband. A special case...
... lowpass and bandpass filters, but not for highpass and bandstop filters.MATLAB supports the design of impulse invariant digital filters through the func-tion impinvar in the SignalProcessing ... 6.7.Example 6.13: Design a bandpass filter with passband of 100 Hz to 200 Hz and thesampling rate is 1 kHz. The passband ripple is less than 3 dB and the stopbandattenuation is at least 30 ... monotonically decreas-ing in both the passband and the stopband. The Butterworth filter has a completely flatmagnitude response over the passband and the stopband. It is often referred to as the`maximally...
... diagram of modulator and demodulator for digital commu-nication systems: (a) a passband transmitter modulator, and (b) a passband receiver demodulator440PRACTICAL DSP APPLICATIONS IN COMMUNICATIONS ... pseudo-random number generation. Thelookup-table method uses a set of stored random samples, and the other is based onrandom number generation algorithms. Both techniques obtain a pseudo-randomsequence ... the effect of near-end and far-end signals, the impact of signal levels and spectra, and the impact of nonlinearity. The echo canceler must accuratelymodel the echo path and rapidly adapt to its...
... frequency bands: band 1 is low-pass and covers 0 Hz to 80 Hz; band 2 is band-pass and covers 80 Hz to 3 kHz; band 3 is high-pass and covers above 3 kHz; and band 4 is also high-pass and covers ... ALEXANDER S.T. (1986) Adaptive SignalProcessing Theory and Applications. Springer-Verlag, New York. DAVENPORT W.B. and ROOT W.L. (1958) An Introduction to the Theory of Random Signals and ... Figure 1.9. 1.3.5 Digital Coding of Audio Signals In digital audio, the memory required to record a signal, the bandwidth required for signal transmission and the signal to–quantisation–noise...