DSP Processor Fundamentals: Architectures and Features by Phil Lapsley, Jeff Bier, Amit Shoham, Edward A. Lee

By Phil Lapsley, Jeff Bier, Amit Shoham, Edward A. Lee

This state of the art, functional advisor brings you an self reliant, entire advent to DSP processor expertise. a radical instructional and evaluate of DSP architectures, this ebook includes a wide variety of todays product choices in examples that illustrate DSP good points and services. This booklet is principally helpful to digital platforms designers, processor architects, engineering managers, and product planners.From the again CoverElectrical Engineering/Signal Processing DSP Processor basics Architectures and lines A quantity within the IEEE Press sequence on sign Processing Jerry D. Gilbson, sequence Editor because the emergence of the 1st commercially winning electronic sign processors within the early Eighties, the programmable DSP marketplace has burgeoned. Designers can now choose from an enormous array of specialised processors with robust signal-processing services. DSP Processor basics provides an self sustaining, accomplished advent to DSP processor know-how. a radical educational and assessment of DSP architectures, this ebook encompasses a vast diversity of today’s product choices in examples that illustrate DSP positive aspects and services. This e-book is principally necessary to digital structures designers, processor architects, engineering managers, and product planners. themes coated include:•Numeric formats•Data paths•Memory structures•Instruction sets•Execution control•Pipelining•On-chip peripherals•On-chip debugging facilities•Clocking options•And more!sharingmatrix.com

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It can be a simple, small printed circuit board using off-the-shelf components, or it can be a complex, multiboard system, incorporating custom integrated circuits. The aggressiveness of the design approach depends on the needs of the application. For an in-depth exploration of nsp system design alternatives and tools, see DSP Design Tools and Methodologies [BDT95]. In the remainder of this section we very briefly mention some of the more popular approaches. One of the most common approaches for custom hardware for nsp applications is to design custom printed circuit boards that incorporate a variety of off-the-shelf components.

Note that if the value being represented has a smaller magnitude than the maximum, the precision 22 Chapter 3 Numeric Representations and Arithmetic obtained is less than the maximum available precision. This underscores the importance of careful signal scaling when using fixed-point arithmetic. Scaling is used to maintain precision by modifying the range of signal values to be near the maximum range of the numeric representation used. " Using this same definition for a floating-point format, the maximum available precision is the number of bits in the mantissa, including the implied integer bit.

The simplest way to do this is to discard the least significant bits of the representation. This operation is called truncation. For example, to truncate a 36-bit value to 16 bits, the least significant 20 bits can be discarded, leaving only the most significant 16 bits. Since the information contained in the discarded bits is lost, an error is introduced to the signal. Note that the truncated value is always 40 Chapter 4 Data Path smaller than or equal to the original. This means that truncation adds a bias or offset to signals.

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