Page 17 - DSP Integrated Circuits
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2                                            Chapter 1 DSP Integrated Circuits


        design, specification, DSP algorithm, system and circuit architecture, logic, and
        integrated circuit design. Hence, changes in classical design methodologies and in
        the organization of design teams may be necessary. We will therefore discuss the
        most common design methodologies used for the design of DSP systems. We will
        also present a novel methodology and apply it to some common DSP subsystems.
            The problem of designing special-purpose DSP systems is an interesting
        research topic, but, more important, it has significant industrial and commercial
        relevance. Many DSP systems (for example, mobile phones) are produced in very
        large numbers and require high-performance circuits with respect to throughput
        and power consumption. Therefore, the design of DSP integrated circuits is a chal-
        lenging topic for both system and VLSI designers. DSP integrated circuits are also
        of economic importance to the chip manufacturers.


        1.2 DIGITAL SIGNAL PROCESSING


        Signal processing is fundamental to information processing and includes various
        methods for extracting information obtained either from nature itself or from
        man-made machines. Generally, the aim of signal processing is to reduce the infor-
        mation content in a signal to facilitate a decision about what information the sig-
        nal carries. In other instances the aim is to retain the information and to
        transform the signal into a form that is more suitable for transmission or storage.
        The DSP systems of interest here are the so-called hard real-time systems, where
        computations must be completed within a given time limit (the sample period). An
        unacceptable error occurs if the time limit is exceeded.
           Modern signal processing is mainly concerned with digital techniques, but
        also with analog and sampled-data (discrete-time) techniques, which are needed in
        the interfaces between digital systems and the outside analog world [9,11]. Sam-
        pled-data systems are generally implemented using switched capacitor (SC) [10]
        or switched current (SI) circuits. Most A/D and D/A converters are today based on
        SC circuit techniques. An important advantage of SC circuits is that they can eas-
        ily be integrated with digital CMOS circuits on the same chip. Recently, analog cir-
        cuits such as anti-aliasing filters have also become possible to implement on the
        same chip. A fully integrated system-on-a-chip is therefore feasible by using a suit-
        able combination of circuit techniques. This will affect both performance and cost
        of DSP systems.
            Generally, complex signal processing systems are synthesized using sub-
        systems that perform the basic DSP operations. Typical operations are frequency
        selective and adaptive filtering, time-frequency transformation, and sample rate
        change. In Chapters 3 and 4, we will review some of the most common signal pro-
        cessing functions used in such subsystems. The aim is to provide a background for
        three typical DSP subsystems that will be used as case studies throughout the
        book.


        1.3 STANDARD DIGITAL SIGNAL PROCESSORS

        In principle, any DSP algorithm can be implemented by programming a stan-
        dard, general-purpose digital signal processor [1]. The design process involves
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