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首页> 外文期刊>IEEE Transactions on Signal Processing >Convolutional Codes Using Finite-Field Wavelets: Time-Varying Codes and More
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Convolutional Codes Using Finite-Field Wavelets: Time-Varying Codes and More

机译:使用有限域小波的卷积码:时变码等

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This paper introduces a procedure for constructing convolutional codes using finite-field wavelets. This provides novel insight into the study of convolutional codes and permits the design of the new convolutional codes that is not possible by conventional methods. Exploiting algebraic properties of the wavelet codes, we show that a rate K/L wavelet convolutional encoder is a basic encoder that is noncatastrophic. In addition, we prove that any rate 1/L wavelet convolutional encoder is minimal-basic and that every L-band orthogonal wavelet system generates a rate 1/L self-orthogonal code. As an application of wavelet convolutional codes, we construct time-varying convolutional codes. These codes have unique trellis structures that result in fast and low computational complexity decoding algorithms. As examples, we present some time-varying wavelet convolutional codes that can be decoded faster than comparable time-invariant convolutional codes. We construct 16- and 32-state time-varying wavelet convolutional codes with minimum-free distances of seven and eight, respectively. These codes have the same minimum-free distance as the best time-invariant codes of the same rate and state complexity, but they can be decoded almost twice as fast. We show that a 32-state time-varying wavelet convolutional code is superior to the Lauer code in performance while having almost the same decoding complexity. Although the 32-state wavelet code is inferior to the 16-state Golay convolutional code as far as computational complexity, it outperforms this code in the performance. We also prove that orthogonal filterbanks generate self-dual time-varying codes. We give a design for doubly even self-dual time-varying convolutional codes by imposing some constraints on the filters that define the L-band orthogonal wavelets. As another application of wavelet convolutional codes, we propose a new scheme for generating rate-adaptive codes. These codes have the property that multiple rates of the code can be decoded on one trellis and its subtrellises.
机译:本文介绍了一种使用有限域小波构造卷积码的程序。这为卷积码的研究提供了新颖的见解,并允许设计常规方法无法实现的新卷积码。利用小波码的代数性质,我们表明速率K / L小波卷积编码器是一种非灾难性的基本编码器。另外,我们证明了任何速率1 / L的小波卷积编码器都是最小基本的,并且每个L波段正交小波系统都会生成速率1 / L的自正交码。作为小波卷积码的一种应用,我们构造了时变卷积码。这些代码具有独特的网格结构,从而导致快速和低计算复杂度的解码算法。作为示例,我们提出了一些时变的小波卷积码,其可比类似的时不变卷积码进行解码的速度更快。我们构造了16状态和32状态时变小波卷积码,它们的最小自由距离分别为7和8。这些码具有与具有相同速率和状态复杂度的最佳时不变码相同的最小自由距离,但是它们的解码速度几乎是原来的两倍。我们证明了32状态时变小波卷积码在性能上优于Lauer码,同时具有几乎相同的解码复杂度。尽管32状态小波代码在计算复杂度方面劣于16状态Golay卷积代码,但在性能上却优于该代码。我们还证明了正交滤波器组会生成自对偶时变代码。通过对定义L波段正交小波的滤波器施加一些约束,我们为双偶时变卷积码提供了一种设计。作为小波卷积码的另一种应用,我们提出了一种生成速率自适应码的新方案。这些代码具有可以在一个网格及其子网格上解码多种码率的特性。

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