A novel trellis-based searching scheme for EEAS-based CORDIC algorithm
نویسندگان
چکیده
The CORDIC algorithm is a well-known iterative method for the computation of vector rotation. For applications that require forward rotation (or vector rotation) only, the Extended Elementary Angle Set (EEAS) Scheme provides a relaxed approach to speed up the operation of the CORDIC algorithm. When determining the parameters of EEAS-based CORDIC algorithm, two optimization problems are encountered. In the previous work, greedy algorithm is suggested to solve these optimization problems. However, for the application that requires high-precision rotation operation, the results generated by greedy algorithm may not be applicable. In this paper, we propose a novel searching algorithm to overcome the aforementioned problem, called Trellis-based Searching (TBS) algorithm. Compared with the greedy algorithm used in the conventional EEAS-based CORDIC algorithm, the proposed TBS algorithm yields apparent performance improvement. Moreover, derivation of error boundary as well as computer simulations are provided to support our arguments.
منابع مشابه
A Review of CORDIC Algorithms and Architectures with Applications for Efficient Designing
-The coordinate rotation digital computer (CORDIC) algorithm is widely used in various technological fields such as digital signal processing (DSP), biomedical signal processing, robotics, communication systems, image processing etc. Due to ease of simple shift and add operations, the use of CORDIC based systems is increasing drastically. In this paper, some CORDIC based applications have been ...
متن کاملA unified design framework for vector rotational CORDIC family based on angle quantization process
Vector rotation is the key operation employed extensively in many digital signal processing applications. In this paper, we introduce a new design concept called Angle Quantization (AQ). It can be used as a design index for vector rotational operation, where the rotational angle is known in advance. Based on the AQ process, we establish a unified design framework for cost-effective low-latency ...
متن کاملA Novel Scheme for Improving Accuracy of KNN Classification Algorithm Based on the New Weighting Technique and Stepwise Feature Selection
K nearest neighbor algorithm is one of the most frequently used techniques in data mining for its integrity and performance. Though the KNN algorithm is highly effective in many cases, it has some essential deficiencies, which affects the classification accuracy of the algorithm. First, the effectiveness of the algorithm is affected by redundant and irrelevant features. Furthermore, this algori...
متن کاملModified Vector Rotational CORDIC (MVR-CORDIC) Algorithm and Architecture
The CORDIC algorithm is a well-known iterative method for the computation of vector rotation. However, the major disadvantage is its relatively slow computational speed. For applications that require forward rotation (or vector rotation) only, we propose a new scheme, the modified vector rotational CORDIC (MVR-CORDIC) algorithm, to improve the speed performance of CORDIC algorithm. The basic id...
متن کاملA Novel Technique for Steganography Method Based on Improved Genetic Algorithm Optimization in Spatial Domain
This paper devotes itself to the study of secret message delivery using cover image and introduces a novel steganographic technique based on genetic algorithm to find a near-optimum structure for the pair-wise least-significant-bit (LSB) matching scheme. A survey of the related literatures shows that the LSB matching method developed by Mielikainen, employs a binary function to reduce the numbe...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2001