We present an efficient dataflow representation of MPEG-1 Audio (Layer III) Decoder (MP3) algorithm with controlled global states. Although dataflow graph has been a successful representation language for DSP applicat...
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We present an efficient dataflow representation of MPEG-1 Audio (Layer III) Decoder (MP3) algorithm with controlled global states. Although dataflow graph has been a successful representation language for DSP applications, lack of global states makes it unsuitable to some applications that require periodic parameter update and dynamic behavior of function blocks. We show the global states can solve these problems and be fused into dataflow graph without any side effect. With a real-life example such as MP3 decoder, we present the novelty and usefulness of our approach.
design of a high-speed arithmetic unit with trigonometric computation has gained significant importance today. CORDIC is one such iterative algorithm that computes various trigonometric, logarithmic and transcendental...
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design of a high-speed arithmetic unit with trigonometric computation has gained significant importance today. CORDIC is one such iterative algorithm that computes various trigonometric, logarithmic and transcendental functions fast with high degree of accuracy. This paper proposes a new technique to compute these values with significant reduction in the number of iterations and power savings. The conventional CORDIC technique is achieved by rotating a vector in both counter-clockwise and clockwise directions. The proposed technique uses unidirectional rotation of the vector thereby reducing the complexity of the circuit and also the number of iterations. Tests were conducted to compute the sine and cosine values using both the conventional and the proposed approach and the results show almost insignificant error (similar to 10(-8)). This algorithm can be further used dominantly in any, signalprocessing applications. An analytical treatment on the algorithm and the architecture is given in this paper.
Recently, considerable progress has been made in the design of digital signalprocessing (DSP) integrated circuits and systems. In order to address the need for rapid and economical production and testing of hardware ...
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Video ICs are composed of several signalprocessing units that perform different tasks such as filtering, changing the sampling rate or mixing different data streams. In most cases these blocks are connected to form a...
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Video ICs are composed of several signalprocessing units that perform different tasks such as filtering, changing the sampling rate or mixing different data streams. In most cases these blocks are connected to form a processing chain, where one block receives signals from the preceding one. To develop an IC more effectively, it is desired to reuse the known cores. The design of several video ICs in the past resulted in a lot of cores being available. The problem, however, is that all blocks are defined by their own timings which rarely fit into new surroundings. Therefore the adaptation, or even the revision of one or more blocks may become necessary. The paper describes a general approach to unify the interfaces of all video processing cores, so that a core-based design is simplified. A newly developed 100 Hz upconversion IC is presented whose processing blocks are equipped with the interface described.
This paper presents an analysis of the convergence of the frequency-domain LMS adaptive filter when the DFT is computed using the LMS steepest descent algorithm. In this case, the frequency-domain adaptive filter is i...
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This paper presents an analysis of the convergence of the frequency-domain LMS adaptive filter when the DFT is computed using the LMS steepest descent algorithm. In this case, the frequency-domain adaptive filter is implemented with a cascade of two sections, each updated using the LMS algorithm. Since the structure contains two adaptive algorithms updating in parallel, an analysis of the overall system convergence needs to consider the effect of the two adaptive algorithms on each other, in addition to their individual convergence. Analysis was done based on the expected mean-square coefficient error for each of the two LMS adaptive algorithms, with some simplifying approximations for the second algorithm, to describe the convergence behavior of the overall system. Simulations were used to verify the results
In a previous work the authors proposed a search strategy based on the golden section for coarse acquisition of Ultra Wideband (UWB) signals in the dense multipath channel. The proposed method achieved practically the...
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ISBN:
(纸本)1424400872
In a previous work the authors proposed a search strategy based on the golden section for coarse acquisition of Ultra Wideband (UWB) signals in the dense multipath channel. The proposed method achieved practically the minimum mean acquisition time under a simplistic model. In this paper those results are extended by showing that the golden section strategy is especially advantageous when the size of the uncertainty region is a term of the Fibonacci sequence, thus providing an alternative to the popular bit reversal search: the proposed strategy has also a very simple implementation and adds flexibility in the choice of design parameters. Simulations with a realistic channel model confirm that the proposed strategy is very appropriate for the acquisition of UVB signals.
A framework for implementing reusable digital signalprocessing modules is presented. Based on a cellular structure, it offers a high level of configurability. With its predefined control strategy, and its generic arc...
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A framework for implementing reusable digital signalprocessing modules is presented. Based on a cellular structure, it offers a high level of configurability. With its predefined control strategy, and its generic architecture, the framework allows a fast and efficient implementation of digital signalprocessing applications. As a practical example, the implementation of a frequency estimator, called the Crozier algorithm, is presented. Advantages observed when implementing the algorithm with the proposed framework are demonstrated.
Over the last decade Digital signalprocessing (DSP) has evolved from being a term known by only a few specialists, to a household term. The growth in DSP applied in e.g., consumer, medical, communications, networking...
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ISBN:
(纸本)0769503128
Over the last decade Digital signalprocessing (DSP) has evolved from being a term known by only a few specialists, to a household term. The growth in DSP applied in e.g., consumer, medical, communications, networking and computing devices has been spectacular. In fact, the digital signal processor market has grown 40% per year since 1988 and this figure is expected to continue over the next 10 years. At the same time the extreme improvement in hardware technologies has been paving the way for designing dedicated architectures for realtime execution of still more complex DSP algorithms, continuously decreasing the power and silicon consumption required to perform certain functionalities. Consequently, we consider advanced DSP topics as being essential in the curriculum for a still growing number of electrical engineering students. These topics are basically related to 1) the design of highly complex DSP algorithms according to given specifications, and 2) realtime implementation of these algorithms using various and conceptually different hardware architectures. Aalborg University, which has a long standing tradition for project-oriented teaching in traditional DSP theory at the Master level, therefore in 1994 launched a new Master programme in "DSP Algorithms and ASIC Architectures". Now, after five years of very successful execution of this programme, we in this paper would like to report on our experiences.
Multiplication plays the key role in digital signalprocessing, digital image processing, mobile computing, very large-scale integration (VLSI), embedded systems and several other fields. To obtain better, accurate an...
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In this work, we study a downlink communications scheme, focusing our attention on the case where the base station is equipped with multiple antennas and transmits information simultaneously to a certain number of use...
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ISBN:
(纸本)078039710X
In this work, we study a downlink communications scheme, focusing our attention on the case where the base station is equipped with multiple antennas and transmits information simultaneously to a certain number of users with single antenna terminals. We consider a realistic scenario where an imperfect estimate of the actual channel is available at both communication ends. Precisely, the actual channel is assumed to be inside an uncertainty region, around the channel estimate, which models the imperfection of the channel knowledge. In this context, we propose a robust power allocation technique that minimizes the transmitted power, while maintaining the necessary quality of service to obtain reliable communication links between the base station and the users. This robust power allocation is obtained as the solution of a convex optimization problem, which is next particularized for two common cases of channel uncertainty regions, and which can be numerically solved very efficiently. Finally, we present simulation results to show the performance of the proposed transmission scheme.
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