DSP_ch1

DSP_ch1 - DSP EEE 407/591 by Andreas Spanias, Ph.D....

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Copyright ©Andreas Spanias I-1 DSP EEE 407/591 by Andreas Spanias, Ph.D. spanias@asu.edu http://www.eas.asu.edu/~spanias Copyright ©Andreas Spanias I-2 Introduction Course will: cover DSP theory survey DSP applications make use of Java-DSP and some MATLAB have Computer labs and Projects
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Copyright ©Andreas Spanias I-3 Java-DSP Environment Copyright ©Andreas Spanias I-4 DSP Theory Contents • Introduction to DSP - Review of analog signals and sampling • Discrete-time systems and digital filters • The z transform in DSP • Design of FIR digital filters • Design of IIR digital filters • Multirate signal processing • The discrete and the fast Fourier transform • FFT info and applications • Random signal processing fundamentals • Applications - Speech etc
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Copyright ©Andreas Spanias I-5 Digital Signal Processing (DSP) Introduction • Digital Signal Processing (DSP) is a branch of signal processing that emerged from the rapid development of VLSI technology that made feasible real-time digital computation. • DSP involves time and amplitude quantization of signals and relies on the theory of discrete-time signals and systems. • DSP emerged as a field in the 1960s. • Early applications of off-line DSP include seismic data analysis, voice processing research. Copyright ©Andreas Spanias I-6 Digital vs Analog Signal Processing Advantages of digital over analog signal processing: • flexibility via programmable DSP operations, • storage of signals without loss of fidelity, • off-line processing, • lower sensitivity to hardware tolerances, • rich media data processing capabilities, • opportunities for encryption in communications, • Multimode functionality and opportunities for software radio. -Disadvantages : • Large bandwidth and CPU demands
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Copyright ©Andreas Spanias I-7 DSP Historical Perspective Nyquist Theorem 1920's. Statistical Time Series, PCM 1940's. Digital Filtering, FFT, Speech Analysis mid 1960s (MIT, Bell Labs, IBM). • Adaptive Filters, Linear Prediction (Stanford, Bell Labs, Japan 1960s). • Digital Spectral Estimation, Speech Coding (1970s). Copyright ©Andreas Spanias I-8 DSP Historical Perspective (2) First Generation DSP Chips (Intel microcontroler, TI, AT&T, Motorola, Analog Devices (early 1980s) Low-cost DSPs (late 1980s) Vocoder Standards for civilian applications (late 1980s) Migration of DSP technologies in general purpose CPU/Controllers "native" DSP (1990s) High Complexity Rich Media Applications Low Power (Portable) Applications
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Copyright ©Andreas Spanias I-9 DSP Applications Military Applications (target tracking, radar, sonar, secure communications, sensors, imagery) Telecommunications (cellular, channel equalization, vocoders, software radioetc) PC and Multimedia Applications (audio/video on demand, streaming data applications, voice synthesis/recognition) Entertainment (digital audio/video compression, MPEG, CD, MD, DVD, MP3) Automotive (Active noise cancellation, hands-free communications, navigation-GPS, IVHS)
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DSP_ch1 - DSP EEE 407/591 by Andreas Spanias, Ph.D....

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