Titlebook: Digital Signal Processing with Field Programmable Gate Arrays; Uwe Meyer-Baese Textbook 20073rd edition Springer-Verlag Berlin Heidelberg

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Infinite Impulse Response (IIR) Digital Filters,In Chap. 3 we introduced the FIR filter. The most important properties that make the FIR attractive (+) or unattractive (.) for selective applications include:

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Advanced Topics,Several algorithms exist that enable FPGAs to outperform PDSPs by an order of magnitude, due to the fact that FPGAs can be built with bitwise implementations. Such applications are the focus of this chapter.

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Introduction,ng and we will then discuss FPGA technology in particular. Finally, the Altera EP2C35F672C6 and a larger design example, including chip synthesis, timing analysis, floorplan, and power consumption, will be studied.

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Multirate Signal Processing, are referred to as . systems. In this chapter, two typical examples will illustrate decimation and interpolation in multirate DSP systems. We will then introduce polyphase notation, and will discuss some efficient decimator designs. At the end of the chapter we will discuss filter banks and a quite

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Adaptive Filters,, i.e., they were LTI systems. However, many real-world signals we find in typical DSP fields like speech processing, communications, radar, sonar, seismology, or biomedicine, require that the “optimal” filter or system coefficients need to be adjusted over time depending on the input signal. If the

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Microprocessor Design,roprocessor with an FPGA, you may ask? Now the author has become overconfident with the capabilities of today’s FPGAs. Clearly today’s FPGAs will not be able to implement such a top-of-the-range μP with a single FPGA. But there are many applications where a less-powerful μP can be quite helpful. Rem